diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/README.md b/lib/node_modules/@stdlib/lapack/base/dlaqsy/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/README.md
@@ -0,0 +1,308 @@
+
+
+# dlaqsy
+
+> Equilibrate a real symmetric matrix using the scaling factors in a vector.
+
+
+
+Equilibration rescales the rows and columns of a matrix in order to improve its condition number. Given a real symmetric matrix `A` and a vector of scale factors `S`, this routine overwrites `A` with
+
+
+
+```math
+A = \mathrm{diag}(S) \cdot A \cdot \mathrm{diag}(S)
+```
+
+
+
+such that each referenced element is updated according to
+
+
+
+```math
+a_{ij} = s_i \cdot a_{ij} \cdot s_j
+```
+
+
+
+Equilibration is only performed when the ratio of the smallest scale factor to the largest scale factor is less than `0.1` or when the absolute value of the largest matrix entry is either too large or too small.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dlaqsy = require( '@stdlib/lapack/base/dlaqsy' );
+```
+
+#### dlaqsy( order, uplo, N, A, LDA, S, scond, amax )
+
+Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S`.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+
+/*
+ A = [
+ [ 1.0, 2.0, 3.0 ],
+ [ 2.0, 5.0, 6.0 ],
+ [ 3.0, 6.0, 9.0 ]
+ ]
+*/
+
+dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 );
+// A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **uplo**: specifies whether to reference the upper or lower triangular part of the symmetric matrix `A`. Must be either `'upper'` or `'lower'`.
+- **N**: order of the matrix `A`.
+- **A**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`). Must be at least `max(1,N)`.
+- **S**: vector of scale factors as a [`Float64Array`][mdn-float64array]. Should have `N` elements.
+- **scond**: ratio of the smallest scale factor to the largest scale factor.
+- **amax**: absolute value of the largest matrix entry.
+
+The function returns a character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`).
+
+Only the triangular part of `A` specified by `uplo` is referenced and updated. If equilibration is not needed, `A` is left unchanged.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+var S = new Float64Array( [ 0.5, 1.0, 2.0 ] );
+
+var equed = dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.25, 9.0 );
+// returns 'N'
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var A0 = new Float64Array( [ 0.0, 1.0, 2.0, 2.0, 5.0 ] );
+var S0 = new Float64Array( [ 0.0, 0.25, 4.0 ] );
+
+// Create offset views...
+var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var S1 = new Float64Array( S0.buffer, S0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+dlaqsy( 'row-major', 'upper', 2, A1, 2, S1, 0.0625, 5.0 );
+// A0 => [ 0.0, 0.0625, 2.0, 2.0, 80.0 ]
+```
+
+#### dlaqsy.ndarray( uplo, N, A, sa1, sa2, oa, S, ss, os, scond, amax )
+
+Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S` and alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+
+dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+// A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+```
+
+The function has the following parameters:
+
+- **uplo**: specifies whether to reference the upper or lower triangular part of the symmetric matrix `A`. Must be either `'upper'` or `'lower'`.
+- **N**: order of the matrix `A`.
+- **A**: input matrix as a [`Float64Array`][mdn-float64array].
+- **sa1**: stride of the first dimension of `A`.
+- **sa2**: stride of the second dimension of `A`.
+- **oa**: starting index for `A`.
+- **S**: vector of scale factors as a [`Float64Array`][mdn-float64array].
+- **ss**: stride length for `S`.
+- **os**: starting index for `S`.
+- **scond**: ratio of the smallest scale factor to the largest scale factor.
+- **amax**: absolute value of the largest matrix entry.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 0.0, 1.0, 2.0, 2.0, 5.0 ] );
+var S = new Float64Array( [ 0.0, 4.0, 0.0, 0.25 ] );
+
+dlaqsy.ndarray( 'upper', 2, A, 2, 1, 1, S, -2, 3, 0.0625, 5.0 );
+// A => [ 0.0, 0.0625, 2.0, 2.0, 80.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `dlaqsy()` corresponds to the [LAPACK][lapack] function [`dlaqsy`][lapack-dlaqsy].
+- Equilibration is performed when `scond < 0.1`, `amax < smallnum`, or `amax > bignum`, where `smallnum` is the ratio of the safe minimum to the machine precision and `bignum = 1/smallnum`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var dlaqsy = require( '@stdlib/lapack/base/dlaqsy' );
+
+// Specify matrix meta data:
+var shape = [ 3, 3 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+// Create a symmetric matrix stored in linear memory:
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+// Define a vector of scale factors:
+var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+
+// Equilibrate the upper triangular part of the matrix:
+var equed = dlaqsy( order, 'upper', 3, A, strides[ 0 ], S, 0.0625, 9.0 );
+console.log( equed );
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dlaqsy]: https://www.netlib.org/lapack/explore-html/df/dca/group__laqhe_gaba164109f29d549e268fb25310701918.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.js
new file mode 100644
index 000000000000..4c74855028bf
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.js
@@ -0,0 +1,131 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var ones = require( '@stdlib/array/ones' );
+var isString = require( '@stdlib/assert/is-string' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlaqsy = require( './../lib/dlaqsy.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+ 'row-major',
+ 'column-major'
+];
+var UPLOS = [
+ 'upper',
+ 'lower'
+];
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {string} uplo - specifies whether to reference the upper or lower triangular part of the matrix
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, uplo, N ) {
+ var A;
+ var S;
+
+ A = uniform( N*N, -10.0, 10.0, options );
+
+ // Use unit scale factors so that repeated equilibration does not overflow or underflow:
+ S = ones( N, options.dtype );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var equed;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ equed = dlaqsy( order, uplo, N, A, N, S, 0.01, 10.0 );
+ if ( !isString( equed ) ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isString( equed ) ) {
+ b.fail( 'should return a string' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var uplo;
+ var min;
+ var max;
+ var ord;
+ var N;
+ var f;
+ var i;
+ var j;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < LAYOUTS.length; k++ ) {
+ ord = LAYOUTS[ k ];
+ for ( j = 0; j < UPLOS.length; j++ ) {
+ uplo = UPLOS[ j ];
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( ord, uplo, N );
+ bench( format( '%s::square_matrix:order=%s,uplo=%s,size=%d', pkg, ord, uplo, N*N ), f );
+ }
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..28d2db06835c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/benchmark/benchmark.ndarray.js
@@ -0,0 +1,140 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var ones = require( '@stdlib/array/ones' );
+var isString = require( '@stdlib/assert/is-string' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlaqsy = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+ 'row-major',
+ 'column-major'
+];
+var UPLOS = [
+ 'upper',
+ 'lower'
+];
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {string} uplo - specifies whether to reference the upper or lower triangular part of the matrix
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, uplo, N ) {
+ var sa1;
+ var sa2;
+ var A;
+ var S;
+
+ if ( order === 'column-major' ) {
+ sa1 = 1;
+ sa2 = N;
+ } else { // order === 'row-major'
+ sa1 = N;
+ sa2 = 1;
+ }
+ A = uniform( N*N, -10.0, 10.0, options );
+
+ // Use unit scale factors so that repeated equilibration does not overflow or underflow:
+ S = ones( N, options.dtype );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var equed;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ equed = dlaqsy( uplo, N, A, sa1, sa2, 0, S, 1, 0, 0.01, 10.0 );
+ if ( !isString( equed ) ) {
+ b.fail( 'should return a string' );
+ }
+ }
+ b.toc();
+ if ( !isString( equed ) ) {
+ b.fail( 'should return a string' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var uplo;
+ var min;
+ var max;
+ var ord;
+ var N;
+ var f;
+ var i;
+ var j;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < LAYOUTS.length; k++ ) {
+ ord = LAYOUTS[ k ];
+ for ( j = 0; j < UPLOS.length; j++ ) {
+ uplo = UPLOS[ j ];
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( ord, uplo, N );
+ bench( format( '%s::square_matrix:ndarray:order=%s,uplo=%s,size=%d', pkg, ord, uplo, N*N ), f );
+ }
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/repl.txt
new file mode 100644
index 000000000000..a3dc9ae765c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/repl.txt
@@ -0,0 +1,119 @@
+
+{{alias}}( order, uplo, N, A, LDA, S, scond, amax )
+ Equilibrates a real symmetric matrix `A` using the scaling factors in the
+ vector `S`.
+
+ If equilibration is performed, `A` is overwritten by `diag(S)*A*diag(S)`.
+
+ Only the triangular part of `A` specified by `uplo` is referenced and
+ updated.
+
+ Equilibration is performed when `scond` is less than `0.1` or when `amax`
+ is either too large or too small.
+
+ Parameters
+ ----------
+ order: string
+ Storage layout. Must be either 'row-major' or 'column-major'.
+
+ uplo: string
+ Specifies whether to reference the upper or lower triangular part of the
+ symmetric matrix `A`. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Order of the matrix `A`.
+
+ A: Float64Array
+ Input matrix.
+
+ LDA: integer
+ Stride of the first dimension of `A` (a.k.a., leading dimension of the
+ matrix `A`). Must be at least `max(1,N)`.
+
+ S: Float64Array
+ Vector of scale factors.
+
+ scond: number
+ Ratio of the smallest scale factor to the largest scale factor.
+
+ amax: number
+ Absolute value of the largest matrix entry.
+
+ Returns
+ -------
+ equed: string
+ Character flag indicating whether the matrix was equilibrated ('Y') or
+ not ('N').
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 5.0 ] );
+ > var S = new {{alias:@stdlib/array/float64}}( [ 0.25, 4.0 ] );
+ > {{alias}}( 'row-major', 'upper', 2, A, 2, S, 0.0625, 5.0 )
+ 'Y'
+ > A
+ [ 0.0625, 2.0, 2.0, 80.0 ]
+
+
+{{alias}}.ndarray( uplo, N, A, sa1, sa2, oa, S, ss, os, scond, amax )
+ Equilibrates a real symmetric matrix `A` using the scaling factors in the
+ vector `S` and alternative indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ uplo: string
+ Specifies whether to reference the upper or lower triangular part of the
+ symmetric matrix `A`. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Order of the matrix `A`.
+
+ A: Float64Array
+ Input matrix.
+
+ sa1: integer
+ Stride of the first dimension of `A`.
+
+ sa2: integer
+ Stride of the second dimension of `A`.
+
+ oa: integer
+ Starting index for `A`.
+
+ S: Float64Array
+ Vector of scale factors.
+
+ ss: integer
+ Stride length for `S`.
+
+ os: integer
+ Starting index for `S`.
+
+ scond: number
+ Ratio of the smallest scale factor to the largest scale factor.
+
+ amax: number
+ Absolute value of the largest matrix entry.
+
+ Returns
+ -------
+ equed: string
+ Character flag indicating whether the matrix was equilibrated ('Y') or
+ not ('N').
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 2.0, 5.0 ] );
+ > var S = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.25, 4.0 ] );
+ > {{alias}}.ndarray( 'upper', 2, A, 2, 1, 1, S, 1, 1, 0.0625, 5.0 )
+ 'Y'
+ > A
+ [ 0.0, 0.0625, 2.0, 2.0, 80.0 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/index.d.ts
new file mode 100644
index 000000000000..60d24788f50d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/index.d.ts
@@ -0,0 +1,117 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { Layout, MatrixTriangle } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dlaqsy`.
+*/
+interface Routine {
+ /**
+ * Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S`.
+ *
+ * @param order - storage layout
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+ * @param N - order of the matrix `A`
+ * @param A - input matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param S - vector of scale factors
+ * @param scond - ratio of the smallest scale factor to the largest scale factor
+ * @param amax - absolute value of the largest matrix entry
+ * @returns character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+ * var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+ *
+ * dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 );
+ * // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+ */
+ ( order: Layout, uplo: MatrixTriangle, N: number, A: Float64Array, LDA: number, S: Float64Array, scond: number, amax: number ): string;
+
+ /**
+ * Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S` and alternative indexing semantics.
+ *
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+ * @param N - order of the matrix `A`
+ * @param A - input matrix
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - starting index for `A`
+ * @param S - vector of scale factors
+ * @param strideS - stride length for `S`
+ * @param offsetS - starting index for `S`
+ * @param scond - ratio of the smallest scale factor to the largest scale factor
+ * @param amax - absolute value of the largest matrix entry
+ * @returns character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+ * var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+ *
+ * dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+ * // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+ */
+ ndarray( uplo: MatrixTriangle, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, S: Float64Array, strideS: number, offsetS: number, scond: number, amax: number ): string;
+}
+
+/**
+* Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S`.
+*
+* @param order - storage layout
+* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+* @param N - order of the matrix `A`
+* @param A - input matrix
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param S - vector of scale factors
+* @param scond - ratio of the smallest scale factor to the largest scale factor
+* @param amax - absolute value of the largest matrix entry
+* @returns character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*/
+declare var dlaqsy: Routine;
+
+
+// EXPORTS //
+
+export = dlaqsy;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/test.ts
new file mode 100644
index 000000000000..1678b9be5006
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/docs/types/test.ts
@@ -0,0 +1,335 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dlaqsy = require( './index' );
+
+
+// TESTS //
+
+// The function returns a string...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectType string
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a valid order...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 5, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( true, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( false, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( null, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( void 0, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( [], 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( {}, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( ( x: number ): number => x, 'upper', 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a valid matrix triangle...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 5, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', true, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', false, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', null, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', void 0, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', [], 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', {}, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', ( x: number ): number => x, 3, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', '5', A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', true, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', false, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', null, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', void 0, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', [], A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', {}, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', ( x: number ): number => x, A, 3, S, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
+{
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', 3, '5', 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, 5, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, true, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, false, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, null, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, void 0, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, [], 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, {}, 3, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, ( x: number ): number => x, 3, S, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', 3, A, '5', S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, true, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, false, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, null, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, void 0, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, [], S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, {}, S, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, ( x: number ): number => x, S, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 9 );
+ dlaqsy( 'row-major', 'upper', 3, A, 3, '5', 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, 5, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, true, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, false, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, null, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, void 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, [], 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, {}, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, ( x: number ): number => x, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, '5', 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, true, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, false, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, null, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, void 0, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, [], 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, {}, 9.0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, ( x: number ): number => x, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, '5' ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, true ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, false ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, null ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, void 0 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, [] ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, {} ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy(); // $ExpectError
+ dlaqsy( 'row-major' ); // $ExpectError
+ dlaqsy( 'row-major', 'upper' ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625 ); // $ExpectError
+ dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a string...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectType string
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a valid matrix triangle...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 5, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( true, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( false, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( null, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( void 0, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( [], 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( {}, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( ( x: number ): number => x, 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', '5', A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', true, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', false, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', null, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', void 0, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', [], A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', {}, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', ( x: number ): number => x, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a Float64Array...
+{
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, '5', 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, 5, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, true, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, false, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, null, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, void 0, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, [], 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, {}, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, ( x: number ): number => x, 3, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, '5', 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, true, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, false, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, null, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, void 0, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, [], 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, {}, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, ( x: number ): number => x, 1, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, '5', 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, true, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, false, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, null, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, void 0, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, [], 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, {}, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, ( x: number ): number => x, 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, '5', S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, true, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, false, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, null, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, void 0, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, [], S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, {}, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, ( x: number ): number => x, S, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a Float64Array...
+{
+ const A = new Float64Array( 9 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, '5', 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, 5, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, true, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, false, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, null, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, void 0, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, [], 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, {}, 1, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, ( x: number ): number => x, 1, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, '5', 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, true, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, false, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, null, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, void 0, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, [], 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, {}, 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, ( x: number ): number => x, 0, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, '5', 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, true, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, false, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, null, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, void 0, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, [], 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, {}, 0.0625, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, ( x: number ): number => x, 0.0625, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a tenth argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, '5', 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, true, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, false, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, null, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, void 0, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, [], 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, {}, 9.0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, ( x: number ): number => x, 9.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eleventh argument which is not a number...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, '5' ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, true ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, false ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, null ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, void 0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, [] ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, {} ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 9 );
+ const S = new Float64Array( 3 );
+ dlaqsy.ndarray(); // $ExpectError
+ dlaqsy.ndarray( 'upper' ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625 ); // $ExpectError
+ dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/examples/index.js
new file mode 100644
index 000000000000..2c2fe78ce373
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var dlaqsy = require( './../lib' );
+
+// Specify matrix meta data:
+var shape = [ 3, 3 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+// Create a symmetric matrix stored in linear memory:
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+// Define a vector of scale factors:
+var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+
+// Equilibrate the upper triangular part of the matrix:
+var equed = dlaqsy( order, 'upper', 3, A, strides[ 0 ], S, 0.0625, 9.0 );
+console.log( equed );
+console.log( ndarray2array( A, shape, strides, 0, order ) );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/base.js
new file mode 100644
index 000000000000..25ef9032a974
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/base.js
@@ -0,0 +1,132 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var dlamch = require( '@stdlib/lapack/base/dlamch' );
+
+
+// VARIABLES //
+
+// Scale factor ratio below which equilibration is performed:
+var THRESH = 0.1;
+
+// Bounds on the largest matrix entry beyond which equilibration is performed:
+var SMALL = dlamch( 'safe minimum' ) / dlamch( 'precision' );
+var LARGE = 1.0 / SMALL;
+
+
+// MAIN //
+
+/**
+* Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S`.
+*
+* @private
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+* @param {NonNegativeInteger} N - order of the matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float64Array} S - vector of scale factors
+* @param {integer} strideS - stride length for `S`
+* @param {NonNegativeInteger} offsetS - starting index for `S`
+* @param {number} scond - ratio of the smallest scale factor to the largest scale factor
+* @param {number} amax - absolute value of the largest matrix entry
+* @returns {string} character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*/
+function dlaqsy( uplo, N, A, strideA1, strideA2, offsetA, S, strideS, offsetS, scond, amax ) { // eslint-disable-line max-len, max-params
+ var isrm;
+ var sa0;
+ var sa1;
+ var is0;
+ var is1;
+ var ia;
+ var cj;
+ var i0;
+ var i1;
+
+ // Quick return if possible...
+ if ( N <= 0 ) {
+ return 'N';
+ }
+ // Return early if the matrix does not need to be equilibrated...
+ if ( scond >= THRESH && amax >= SMALL && amax <= LARGE ) {
+ return 'N';
+ }
+ isrm = isRowMajor( [ strideA1, strideA2 ] );
+ if ( isrm ) {
+ // For row-major matrices, the last dimension has the fastest changing index...
+ sa0 = strideA2; // stride for innermost loop
+ sa1 = strideA1; // stride for outermost loop
+ } else { // isColMajor
+ // For column-major matrices, the first dimension has the fastest changing index...
+ sa0 = strideA1; // stride for innermost loop
+ sa1 = strideA2; // stride for outermost loop
+ }
+ // Row-major upper and column-major lower share the same traversal (and vice versa)...
+ if (
+ ( !isrm && uplo === 'upper' ) ||
+ ( isrm && uplo === 'lower' )
+ ) {
+ is1 = offsetS;
+ for ( i1 = 0; i1 < N; i1++ ) {
+ cj = S[ is1 ];
+ ia = offsetA + ( sa1*i1 );
+ is0 = offsetS;
+ for ( i0 = 0; i0 <= i1; i0++ ) {
+ A[ ia ] *= cj * S[ is0 ];
+ ia += sa0;
+ is0 += strideS;
+ }
+ is1 += strideS;
+ }
+ return 'Y';
+ }
+ // ( isrm && uplo === 'upper' ) || ( !isrm && uplo === 'lower' )
+ is1 = offsetS;
+ for ( i1 = 0; i1 < N; i1++ ) {
+ cj = S[ is1 ];
+ ia = offsetA + ( sa1*i1 ) + ( sa0*i1 );
+ is0 = is1;
+ for ( i0 = i1; i0 < N; i0++ ) {
+ A[ ia ] *= cj * S[ is0 ];
+ ia += sa0;
+ is0 += strideS;
+ }
+ is1 += strideS;
+ }
+ return 'Y';
+}
+
+
+// EXPORTS //
+
+module.exports = dlaqsy;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/dlaqsy.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/dlaqsy.js
new file mode 100644
index 000000000000..bc8dc0ba2822
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/dlaqsy.js
@@ -0,0 +1,88 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var max = require( '@stdlib/math/base/special/max' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S`.
+*
+* @param {string} order - storage layout
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+* @param {NonNegativeInteger} N - order of the matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float64Array} S - vector of scale factors
+* @param {number} scond - ratio of the smallest scale factor to the largest scale factor
+* @param {number} amax - absolute value of the largest matrix entry
+* @throws {TypeError} first argument must be a valid order
+* @throws {TypeError} second argument must specify whether to reference the lower or upper triangular matrix
+* @throws {RangeError} third argument must be a nonnegative integer
+* @throws {RangeError} fifth argument must be greater than or equal to max(1,N)
+* @returns {string} character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*/
+function dlaqsy( order, uplo, N, A, LDA, S, scond, amax ) {
+ var sa1;
+ var sa2;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ if ( LDA < max( 1, N ) ) {
+ throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDA ) );
+ }
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = LDA;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ }
+ return base( uplo, N, A, sa1, sa2, 0, S, 1, 0, scond, amax );
+}
+
+
+// EXPORTS //
+
+module.exports = dlaqsy;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/index.js
new file mode 100644
index 000000000000..6e85bb03b34d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/index.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to equilibrate a real symmetric matrix using the scaling factors in a vector `S`.
+*
+* @module @stdlib/lapack/base/dlaqsy
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlaqsy = require( '@stdlib/lapack/base/dlaqsy' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy( 'row-major', 'upper', 3, A, 3, S, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlaqsy = require( '@stdlib/lapack/base/dlaqsy' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy.ndarray( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dlaqsy;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dlaqsy = main;
+} else {
+ dlaqsy = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dlaqsy;
+
+// exports: { "ndarray": "dlaqsy.ndarray" }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/main.js
new file mode 100644
index 000000000000..ed8015e4a02b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dlaqsy = require( './dlaqsy.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dlaqsy, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dlaqsy;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/ndarray.js
new file mode 100644
index 000000000000..b6b7b9f9f675
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/lib/ndarray.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Equilibrates a real symmetric matrix `A` using the scaling factors in the vector `S` and alternative indexing semantics.
+*
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is referenced
+* @param {NonNegativeInteger} N - order of the matrix `A`
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float64Array} S - vector of scale factors
+* @param {integer} strideS - stride length for `S`
+* @param {NonNegativeInteger} offsetS - starting index for `S`
+* @param {number} scond - ratio of the smallest scale factor to the largest scale factor
+* @param {number} amax - absolute value of the largest matrix entry
+* @throws {TypeError} first argument must specify whether to reference the lower or upper triangular matrix
+* @throws {RangeError} second argument must be a nonnegative integer
+* @returns {string} character flag indicating whether the matrix was equilibrated (`'Y'`) or not (`'N'`)
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 5.0, 6.0, 3.0, 6.0, 9.0 ] );
+* var S = new Float64Array( [ 0.25, 2.0, 4.0 ] );
+*
+* dlaqsy( 'upper', 3, A, 3, 1, 0, S, 1, 0, 0.0625, 9.0 );
+* // A => [ 0.0625, 1.0, 3.0, 2.0, 20.0, 48.0, 3.0, 6.0, 144.0 ]
+*/
+function dlaqsy( uplo, N, A, strideA1, strideA2, offsetA, S, strideS, offsetS, scond, amax ) { // eslint-disable-line max-len, max-params
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ return base( uplo, N, A, strideA1, strideA2, offsetA, S, strideS, offsetS, scond, amax ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dlaqsy;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/package.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/package.json
new file mode 100644
index 000000000000..fca993202ba5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/package.json
@@ -0,0 +1,73 @@
+{
+ "name": "@stdlib/lapack/base/dlaqsy",
+ "version": "0.0.0",
+ "description": "Equilibrate a real symmetric matrix using the scaling factors in a vector.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "lapack",
+ "dlaqsy",
+ "equilibrate",
+ "equilibration",
+ "scale",
+ "scaling",
+ "symmetric",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array",
+ "matrix"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_lower.json
new file mode 100644
index 000000000000..9896295fcb24
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 0,
+ "A": [ 1.0, 5.0, 9.0, 13.0, 2.0, 6.0, 10.0, 14.0, 3.0, 7.0, 11.0, 15.0, 4.0, 8.0, 12.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.5,
+ "amax": 1e+300,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 2.55, 7.83, 0.42900000000000005, 2.0, 17.339999999999996, 49.3, 2.618, 3.0, 7.0, 92.51, 4.785, 4.0, 8.0, 12.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_upper.json
new file mode 100644
index 000000000000..966384008477
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_large_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 0,
+ "A": [ 1.0, 5.0, 9.0, 13.0, 2.0, 6.0, 10.0, 14.0, 3.0, 7.0, 11.0, 15.0, 4.0, 8.0, 12.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.5,
+ "amax": 1e+300,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 5.0, 9.0, 13.0, 1.02, 17.339999999999996, 10.0, 14.0, 2.61, 34.51, 92.51, 15.0, 0.132, 1.496, 3.8280000000000003, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_small.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_small.json
new file mode 100644
index 000000000000..5ac2b81bf917
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/amax_small.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 4,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.5,
+ "amax": 1e-300,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 1.02, 2.61, 0.132, 5.0, 17.339999999999996, 34.51, 1.496, 9.0, 10.0, 92.51, 3.8280000000000003, 13.0, 14.0, 15.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_lower.json
new file mode 100644
index 000000000000..b6260b8e6471
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 0,
+ "A": [ 1.0, 5.0, 9.0, 13.0, 2.0, 6.0, 10.0, 14.0, 3.0, 7.0, 11.0, 15.0, 4.0, 8.0, 12.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 2.55, 7.83, 0.42900000000000005, 2.0, 17.339999999999996, 49.3, 2.618, 3.0, 7.0, 92.51, 4.785, 4.0, 8.0, 12.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_upper.json
new file mode 100644
index 000000000000..daf2cf86d6a9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/column_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 0,
+ "A": [ 1.0, 5.0, 9.0, 13.0, 2.0, 6.0, 10.0, 14.0, 3.0, 7.0, 11.0, 15.0, 4.0, 8.0, 12.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 5.0, 9.0, 13.0, 1.02, 17.339999999999996, 10.0, 14.0, 2.61, 34.51, 92.51, 15.0, 0.132, 1.496, 3.8280000000000003, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_lower.json
new file mode 100644
index 000000000000..d0700340ca96
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 2,
+ "strideA2": 8,
+ "offsetA": 0,
+ "A": [ 1.0, 9999.0, 5.0, 9999.0, 9.0, 9999.0, 13.0, 9999.0, 2.0, 9999.0, 6.0, 9999.0, 10.0, 9999.0, 14.0, 9999.0, 3.0, 9999.0, 7.0, 9999.0, 11.0, 9999.0, 15.0, 9999.0, 4.0, 9999.0, 8.0, 9999.0, 12.0, 9999.0, 16.0 ],
+
+ "S": [ 0.3, 9999.0, 1.7, 9999.0, 2.9, 9999.0, 0.11 ],
+ "strideS": 2,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 9999.0, 2.55, 9999.0, 7.83, 9999.0, 0.42900000000000005, 9999.0, 2.0, 9999.0, 17.339999999999996, 9999.0, 49.3, 9999.0, 2.618, 9999.0, 3.0, 9999.0, 7.0, 9999.0, 92.51, 9999.0, 4.785, 9999.0, 4.0, 9999.0, 8.0, 9999.0, 12.0, 9999.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_upper.json
new file mode 100644
index 000000000000..8b0dbc804e16
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/column_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 2,
+ "strideA2": 8,
+ "offsetA": 0,
+ "A": [ 1.0, 9999.0, 5.0, 9999.0, 9.0, 9999.0, 13.0, 9999.0, 2.0, 9999.0, 6.0, 9999.0, 10.0, 9999.0, 14.0, 9999.0, 3.0, 9999.0, 7.0, 9999.0, 11.0, 9999.0, 15.0, 9999.0, 4.0, 9999.0, 8.0, 9999.0, 12.0, 9999.0, 16.0 ],
+
+ "S": [ 0.3, 9999.0, 1.7, 9999.0, 2.9, 9999.0, 0.11 ],
+ "strideS": 2,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 9999.0, 5.0, 9999.0, 9.0, 9999.0, 13.0, 9999.0, 1.02, 9999.0, 17.339999999999996, 9999.0, 10.0, 9999.0, 14.0, 9999.0, 2.61, 9999.0, 34.51, 9999.0, 92.51, 9999.0, 15.0, 9999.0, 0.132, 9999.0, 1.496, 9999.0, 3.8280000000000003, 9999.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_lower.json
new file mode 100644
index 000000000000..dd41dfc609f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 8,
+ "strideA2": 2,
+ "offsetA": 0,
+ "A": [ 1.0, 9999.0, 2.0, 9999.0, 3.0, 9999.0, 4.0, 9999.0, 5.0, 9999.0, 6.0, 9999.0, 7.0, 9999.0, 8.0, 9999.0, 9.0, 9999.0, 10.0, 9999.0, 11.0, 9999.0, 12.0, 9999.0, 13.0, 9999.0, 14.0, 9999.0, 15.0, 9999.0, 16.0 ],
+
+ "S": [ 0.3, 9999.0, 1.7, 9999.0, 2.9, 9999.0, 0.11 ],
+ "strideS": 2,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 9999.0, 2.0, 9999.0, 3.0, 9999.0, 4.0, 9999.0, 2.55, 9999.0, 17.339999999999996, 9999.0, 7.0, 9999.0, 8.0, 9999.0, 7.83, 9999.0, 49.3, 9999.0, 92.51, 9999.0, 12.0, 9999.0, 0.42900000000000005, 9999.0, 2.618, 9999.0, 4.785, 9999.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_upper.json
new file mode 100644
index 000000000000..41fa8263406f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/large_strides/row_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 8,
+ "strideA2": 2,
+ "offsetA": 0,
+ "A": [ 1.0, 9999.0, 2.0, 9999.0, 3.0, 9999.0, 4.0, 9999.0, 5.0, 9999.0, 6.0, 9999.0, 7.0, 9999.0, 8.0, 9999.0, 9.0, 9999.0, 10.0, 9999.0, 11.0, 9999.0, 12.0, 9999.0, 13.0, 9999.0, 14.0, 9999.0, 15.0, 9999.0, 16.0 ],
+
+ "S": [ 0.3, 9999.0, 1.7, 9999.0, 2.9, 9999.0, 0.11 ],
+ "strideS": 2,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 9999.0, 1.02, 9999.0, 2.61, 9999.0, 0.132, 9999.0, 5.0, 9999.0, 17.339999999999996, 9999.0, 34.51, 9999.0, 1.496, 9999.0, 9.0, 9999.0, 10.0, 9999.0, 92.51, 9999.0, 3.8280000000000003, 9999.0, 13.0, 9999.0, 14.0, 9999.0, 15.0, 9999.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_lower.json
new file mode 100644
index 000000000000..c0a76ae60fe7
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": -1,
+ "strideA2": 4,
+ "offsetA": 3,
+ "A": [ 13.0, 9.0, 5.0, 1.0, 14.0, 10.0, 6.0, 2.0, 15.0, 11.0, 7.0, 3.0, 16.0, 12.0, 8.0, 4.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.42900000000000005, 7.83, 2.55, 0.09, 2.618, 49.3, 17.339999999999996, 2.0, 4.785, 92.51, 7.0, 3.0, 0.1936, 12.0, 8.0, 4.0 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_upper.json
new file mode 100644
index 000000000000..1853abb13e27
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/column_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "LDA": 4,
+ "strideA1": -1,
+ "strideA2": 4,
+ "offsetA": 3,
+ "A": [ 13.0, 9.0, 5.0, 1.0, 14.0, 10.0, 6.0, 2.0, 15.0, 11.0, 7.0, 3.0, 16.0, 12.0, 8.0, 4.0 ],
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+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_lower.json
new file mode 100644
index 000000000000..345f5b3d272e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "LDA": 4,
+ "strideA1": 4,
+ "strideA2": -1,
+ "offsetA": 3,
+ "A": [ 4.0, 3.0, 2.0, 1.0, 8.0, 7.0, 6.0, 5.0, 12.0, 11.0, 10.0, 9.0, 16.0, 15.0, 14.0, 13.0 ],
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+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_upper.json
new file mode 100644
index 000000000000..a6cfb14c3509
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/mixed_strides/row_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "strideA1": 4,
+ "strideA2": -1,
+ "offsetA": 3,
+ "A": [ 4.0, 3.0, 2.0, 1.0, 8.0, 7.0, 6.0, 5.0, 12.0, 11.0, 10.0, 9.0, 16.0, 15.0, 14.0, 13.0 ],
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+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
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+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_lower.json
new file mode 100644
index 000000000000..fde59385cbfb
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": -1,
+ "strideA2": -4,
+ "offsetA": 15,
+ "A": [ 16.0, 12.0, 8.0, 4.0, 15.0, 11.0, 7.0, 3.0, 14.0, 10.0, 6.0, 2.0, 13.0, 9.0, 5.0, 1.0 ],
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+ "S": [ 0.11, 2.9, 1.7, 0.3 ],
+ "strideS": -1,
+ "offsetS": 3,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
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+ "A_out": [ 0.1936, 12.0, 8.0, 4.0, 4.785, 92.51, 7.0, 3.0, 2.618, 49.3, 17.339999999999996, 2.0, 0.42900000000000005, 7.83, 2.55, 0.09 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_upper.json
new file mode 100644
index 000000000000..390901ca2a4e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/column_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "strideA1": -1,
+ "strideA2": -4,
+ "offsetA": 15,
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+ "S": [ 0.11, 2.9, 1.7, 0.3 ],
+ "strideS": -1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
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+ "A_out_mat": [
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+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_lower.json
new file mode 100644
index 000000000000..31173b9df8e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "LDA": 4,
+ "strideA1": -4,
+ "strideA2": -1,
+ "offsetA": 15,
+ "A": [ 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0 ],
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+ "S": [ 0.11, 2.9, 1.7, 0.3 ],
+ "strideS": -1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_upper.json
new file mode 100644
index 000000000000..0924ea8811ea
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/negative_strides/row_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": -4,
+ "strideA2": -1,
+ "offsetA": 15,
+ "A": [ 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0 ],
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+ "S": [ 0.11, 2.9, 1.7, 0.3 ],
+ "strideS": -1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/no_equilibration.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/no_equilibration.json
new file mode 100644
index 000000000000..365b9cbe78e5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/no_equilibration.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 4,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ],
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+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
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+ "offsetS": 0,
+
+ "scond": 0.5,
+ "amax": 16.0,
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+ "A_out_mat": [
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+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "A_out": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ],
+ "equed": "N"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_lower.json
new file mode 100644
index 000000000000..13bb8ac0db13
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 2,
+ "A": [ 9999.0, 9999.0, 1.0, 5.0, 9.0, 13.0, 2.0, 6.0, 10.0, 14.0, 3.0, 7.0, 11.0, 15.0, 4.0, 8.0, 12.0, 16.0 ],
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+ "S": [ 9999.0, 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 9999.0, 9999.0, 0.09, 2.55, 7.83, 0.42900000000000005, 2.0, 17.339999999999996, 49.3, 2.618, 3.0, 7.0, 92.51, 4.785, 4.0, 8.0, 12.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_upper.json
new file mode 100644
index 000000000000..58113b738609
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/column_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "column-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "strideA1": 1,
+ "strideA2": 4,
+ "offsetA": 2,
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+ "S": [ 9999.0, 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
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+ "scond": 0.03793103448275862,
+ "amax": 16.0,
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+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 9999.0, 9999.0, 0.09, 5.0, 9.0, 13.0, 1.02, 17.339999999999996, 10.0, 14.0, 2.61, 34.51, 92.51, 15.0, 0.132, 1.496, 3.8280000000000003, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_lower.json
new file mode 100644
index 000000000000..ef29458b548d
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
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+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "strideA1": 4,
+ "strideA2": 1,
+ "offsetA": 2,
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+ "S": [ 9999.0, 0.3, 1.7, 2.9, 0.11 ],
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+ "scond": 0.03793103448275862,
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+ "A_out_mat": [
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+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
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+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_upper.json
new file mode 100644
index 000000000000..898b21cf7d18
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/offsets/row_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
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+ "A_mat": [
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+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
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+ "strideA2": 1,
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+ "S": [ 9999.0, 0.3, 1.7, 2.9, 0.11 ],
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+ "A_out_mat": [
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+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 9999.0, 9999.0, 0.09, 1.02, 2.61, 0.132, 5.0, 17.339999999999996, 34.51, 1.496, 9.0, 10.0, 92.51, 3.8280000000000003, 13.0, 14.0, 15.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_lower.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_lower.json
new file mode 100644
index 000000000000..00529122b5c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_lower.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "lower",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 4,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 2.0, 3.0, 4.0 ],
+ [ 2.55, 17.339999999999996, 7.0, 8.0 ],
+ [ 7.83, 49.3, 92.51, 12.0 ],
+ [ 0.42900000000000005, 2.618, 4.785, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 2.0, 3.0, 4.0, 2.55, 17.339999999999996, 7.0, 8.0, 7.83, 49.3, 92.51, 12.0, 0.42900000000000005, 2.618, 4.785, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_upper.json b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_upper.json
new file mode 100644
index 000000000000..98c3f48b3f8b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/fixtures/row_major_upper.json
@@ -0,0 +1,33 @@
+{
+ "order": "row-major",
+ "uplo": "upper",
+ "N": 4,
+
+ "A_mat": [
+ [ 1.0, 2.0, 3.0, 4.0 ],
+ [ 5.0, 6.0, 7.0, 8.0 ],
+ [ 9.0, 10.0, 11.0, 12.0 ],
+ [ 13.0, 14.0, 15.0, 16.0 ]
+ ],
+ "LDA": 4,
+ "strideA1": 4,
+ "strideA2": 1,
+ "offsetA": 0,
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ],
+
+ "S": [ 0.3, 1.7, 2.9, 0.11 ],
+ "strideS": 1,
+ "offsetS": 0,
+
+ "scond": 0.03793103448275862,
+ "amax": 16.0,
+
+ "A_out_mat": [
+ [ 0.09, 1.02, 2.61, 0.132 ],
+ [ 5.0, 17.339999999999996, 34.51, 1.496 ],
+ [ 9.0, 10.0, 92.51, 3.8280000000000003 ],
+ [ 13.0, 14.0, 15.0, 0.1936 ]
+ ],
+ "A_out": [ 0.09, 1.02, 2.61, 0.132, 5.0, 17.339999999999996, 34.51, 1.496, 9.0, 10.0, 92.51, 3.8280000000000003, 13.0, 14.0, 15.0, 0.1936 ],
+ "equed": "Y"
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.dlaqsy.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.dlaqsy.js
new file mode 100644
index 000000000000..bec948c52ceb
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.dlaqsy.js
@@ -0,0 +1,421 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlaqsy = require( './../lib/dlaqsy.js' );
+
+
+// FIXTURES //
+
+var ROW_MAJOR_UPPER = require( './fixtures/row_major_upper.json' );
+var ROW_MAJOR_LOWER = require( './fixtures/row_major_lower.json' );
+var COLUMN_MAJOR_UPPER = require( './fixtures/column_major_upper.json' );
+var COLUMN_MAJOR_LOWER = require( './fixtures/column_major_lower.json' );
+var AMAX_LARGE_UPPER = require( './fixtures/amax_large_upper.json' );
+var AMAX_LARGE_LOWER = require( './fixtures/amax_large_lower.json' );
+var AMAX_SMALL = require( './fixtures/amax_small.json' );
+var NO_EQUILIBRATION = require( './fixtures/no_equilibration.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlaqsy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+ t.strictEqual( dlaqsy.length, 8, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a valid order', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ -5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( value, 'upper', 3, A, 3, S, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not a valid matrix triangle', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ 'all',
+ -5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( 'row-major', value, 3, A, 3, S, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a third argument which is a negative integer', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( 'row-major', 'upper', value, A, 3, S, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a fifth argument which is not a valid `LDA` value (row-major)', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ 0,
+ 1,
+ 2
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( 'row-major', 'upper', 3, A, value, S, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a fifth argument which is not a valid `LDA` value (column-major)', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ 0,
+ 1,
+ 2
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( 'column-major', 'upper', 3, A, value, S, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix if the largest matrix entry is too large (upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_LARGE_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix if the largest matrix entry is too large (lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_LARGE_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix if the largest matrix entry is too small', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_SMALL;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function does not equilibrate a symmetric matrix if equilibration is not needed', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NO_EQUILIBRATION;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.order, data.uplo, data.N, A, data.LDA, S, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, 'N', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `N` and leaves the input matrix unchanged if `N` is equal to zero', function test( t ) {
+ var expected;
+ var equed;
+ var A;
+ var S;
+
+ A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ S = new Float64Array( [ 0.1, 10.0 ] );
+ expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+ equed = dlaqsy( 'row-major', 'upper', 0, A, 2, S, 0.01, 4.0 );
+ t.strictEqual( equed, 'N', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+
+ equed = dlaqsy( 'column-major', 'lower', 0, A, 2, S, 0.01, 4.0 );
+ t.strictEqual( equed, 'N', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying a leading dimension which is greater than the number of columns (row-major)', function test( t ) {
+ var expected;
+ var equed;
+ var A;
+ var S;
+
+ A = new Float64Array( [ 1.0, 2.0, 9999.0, 2.0, 5.0, 9999.0 ] );
+ S = new Float64Array( [ 0.25, 4.0 ] );
+ expected = new Float64Array( [ 0.0625, 2.0, 9999.0, 2.0, 80.0, 9999.0 ] );
+
+ equed = dlaqsy( 'row-major', 'upper', 2, A, 3, S, 0.0625, 5.0 );
+ t.strictEqual( equed, 'Y', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports specifying a leading dimension which is greater than the number of rows (column-major)', function test( t ) {
+ var expected;
+ var equed;
+ var A;
+ var S;
+
+ A = new Float64Array( [ 1.0, 2.0, 9999.0, 2.0, 5.0, 9999.0 ] );
+ S = new Float64Array( [ 0.25, 4.0 ] );
+ expected = new Float64Array( [ 0.0625, 2.0, 9999.0, 2.0, 80.0, 9999.0 ] );
+
+ equed = dlaqsy( 'column-major', 'lower', 2, A, 3, S, 0.0625, 5.0 );
+ t.strictEqual( equed, 'Y', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.js
new file mode 100644
index 000000000000..2083fffe07c0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dlaqsy = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlaqsy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dlaqsy.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dlaqsy = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlaqsy, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dlaqsy;
+ var main;
+
+ main = require( './../lib/dlaqsy.js' );
+
+ dlaqsy = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlaqsy, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.ndarray.js
new file mode 100644
index 000000000000..7dd7a30253b4
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlaqsy/test/test.ndarray.js
@@ -0,0 +1,630 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len, id-length */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlaqsy = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var ROW_MAJOR_UPPER = require( './fixtures/row_major_upper.json' );
+var ROW_MAJOR_LOWER = require( './fixtures/row_major_lower.json' );
+var COLUMN_MAJOR_UPPER = require( './fixtures/column_major_upper.json' );
+var COLUMN_MAJOR_LOWER = require( './fixtures/column_major_lower.json' );
+var OFFSETS_ROW_MAJOR_UPPER = require( './fixtures/offsets/row_major_upper.json' );
+var OFFSETS_ROW_MAJOR_LOWER = require( './fixtures/offsets/row_major_lower.json' );
+var OFFSETS_COLUMN_MAJOR_UPPER = require( './fixtures/offsets/column_major_upper.json' );
+var OFFSETS_COLUMN_MAJOR_LOWER = require( './fixtures/offsets/column_major_lower.json' );
+var MIXED_STRIDES_ROW_MAJOR_UPPER = require( './fixtures/mixed_strides/row_major_upper.json' );
+var MIXED_STRIDES_ROW_MAJOR_LOWER = require( './fixtures/mixed_strides/row_major_lower.json' );
+var MIXED_STRIDES_COLUMN_MAJOR_UPPER = require( './fixtures/mixed_strides/column_major_upper.json' );
+var MIXED_STRIDES_COLUMN_MAJOR_LOWER = require( './fixtures/mixed_strides/column_major_lower.json' );
+var NEGATIVE_STRIDES_ROW_MAJOR_UPPER = require( './fixtures/negative_strides/row_major_upper.json' );
+var NEGATIVE_STRIDES_ROW_MAJOR_LOWER = require( './fixtures/negative_strides/row_major_lower.json' );
+var NEGATIVE_STRIDES_COLUMN_MAJOR_UPPER = require( './fixtures/negative_strides/column_major_upper.json' );
+var NEGATIVE_STRIDES_COLUMN_MAJOR_LOWER = require( './fixtures/negative_strides/column_major_lower.json' );
+var LARGE_STRIDES_ROW_MAJOR_UPPER = require( './fixtures/large_strides/row_major_upper.json' );
+var LARGE_STRIDES_ROW_MAJOR_LOWER = require( './fixtures/large_strides/row_major_lower.json' );
+var LARGE_STRIDES_COLUMN_MAJOR_UPPER = require( './fixtures/large_strides/column_major_upper.json' );
+var LARGE_STRIDES_COLUMN_MAJOR_LOWER = require( './fixtures/large_strides/column_major_lower.json' );
+var AMAX_LARGE_UPPER = require( './fixtures/amax_large_upper.json' );
+var AMAX_LARGE_LOWER = require( './fixtures/amax_large_lower.json' );
+var AMAX_SMALL = require( './fixtures/amax_small.json' );
+var NO_EQUILIBRATION = require( './fixtures/no_equilibration.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlaqsy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 11', function test( t ) {
+ t.strictEqual( dlaqsy.length, 11, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a valid matrix triangle', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ 'all',
+ -5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( value, 3, A, 3, 1, 0, S, 1, 0, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is a negative integer', function test( t ) {
+ var values;
+ var A;
+ var S;
+ var i;
+
+ A = new Float64Array( 9 );
+ S = new Float64Array( 3 );
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlaqsy( 'upper', value, A, 3, 1, 0, S, 1, 0, 0.05, 9.0 );
+ };
+ }
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper, offsets)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = OFFSETS_ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower, offsets)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = OFFSETS_ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper, offsets)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = OFFSETS_COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower, offsets)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = OFFSETS_COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper, mixed strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = MIXED_STRIDES_ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower, mixed strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = MIXED_STRIDES_ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper, mixed strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = MIXED_STRIDES_COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower, mixed strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = MIXED_STRIDES_COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper, negative strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NEGATIVE_STRIDES_ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower, negative strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NEGATIVE_STRIDES_ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper, negative strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NEGATIVE_STRIDES_COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower, negative strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NEGATIVE_STRIDES_COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, upper, large strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = LARGE_STRIDES_ROW_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (row-major, lower, large strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = LARGE_STRIDES_ROW_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, upper, large strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = LARGE_STRIDES_COLUMN_MAJOR_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (column-major, lower, large strides)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = LARGE_STRIDES_COLUMN_MAJOR_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (largest matrix entry too large, upper)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_LARGE_UPPER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (largest matrix entry too large, lower)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_LARGE_LOWER;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function equilibrates a symmetric matrix (largest matrix entry too small)', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = AMAX_SMALL;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, data.equed, 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function does not equilibrate a symmetric matrix if equilibration is not needed', function test( t ) {
+ var expected;
+ var equed;
+ var data;
+ var A;
+ var S;
+
+ data = NO_EQUILIBRATION;
+
+ A = new Float64Array( data.A );
+ S = new Float64Array( data.S );
+
+ equed = dlaqsy( data.uplo, data.N, A, data.strideA1, data.strideA2, data.offsetA, S, data.strideS, data.offsetS, data.scond, data.amax );
+ expected = new Float64Array( data.A_out );
+
+ t.strictEqual( equed, 'N', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `N` and leaves the input matrix unchanged if `N` is equal to zero', function test( t ) {
+ var expected;
+ var equed;
+ var A;
+ var S;
+
+ A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ S = new Float64Array( [ 0.1, 10.0 ] );
+ expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+ equed = dlaqsy( 'upper', 0, A, 2, 1, 0, S, 1, 0, 0.01, 4.0 );
+ t.strictEqual( equed, 'N', 'returns expected value' );
+ t.deepEqual( A, expected, 'returns expected value' );
+ t.end();
+});