diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
new file mode 100644
index 000000000000..13bcdbe022de
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
@@ -0,0 +1,458 @@
+<!--
+
+@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.
+
+-->
+
+# kernel
+
+> Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+```
+
+#### kernel( ndims )
+
+Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Resolve a kernel:
+var f = kernel( 2 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function accepts the following arguments:
+
+-   **ndims**: number of loop dimensions.
+
+If the function is provided an `ndims` value less than or equal to `0`, the function returns `null`.
+
+```javascript
+var f = kernel( -1 );
+// returns null
+```
+
+The returned function accepts the following arguments:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+The returned function iterates over ndarray elements according to the linear **view** index, regardless as to how the data is stored in memory.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.nd( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an n-dimensional input ndarray according to a callback function using linear view iteration.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Apply strided function:
+kernel.nd( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The strided array function is expected to have the following signature:
+
+    ```text
+    fcn( arrays[, options], clbk )
+    ```
+
+    where
+
+    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
+    -   **options**: function options (_optional_).
+    -   **clbk**: callback function.
+
+-   The callback function is provided the following arguments:
+
+    -   **value**: current array element.
+    -   **idx**: current array element indices.
+    -   **arr**: the original input ndarray.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
new file mode 100644
index 000000000000..f5d3b71d0c95
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
@@ -0,0 +1,101 @@
+
+{{alias}}( ndims )
+    Returns a kernel for applying a one-dimensional strided array function to an
+    input ndarray according to a callback function using linear view iteration.
+
+    The returned function has the following parameters:
+
+    - fcn: function which will be applied to a one-dimensional input subarray
+    according to a callback function.
+    - arrays: array containing an input ndarray descriptor, followed by any
+    additional ndarray arguments.
+    - ref: original input ndarray provided to a callback function.
+    - views: initialized ndarray descriptors representing subarray views.
+    - shape: loop dimensions.
+    - stridesX: loop dimension strides for the input ndarray.
+    - strategyX: strategy for marshaling data to and from an input ndarray view.
+    - ibuf: workspace for storing iteration indices.
+    - ldims: list of loop dimensions.
+    - cdims: list of "core" dimensions.
+    - options: function options which are passed through to `fcn`.
+    - hasOpts: boolean indicating whether to pass an options argument to a
+    strided array function.
+    - clbk: callback function.
+    - thisArg: callback execution context.
+
+    The returned function iterates based on the linear view index, regardless as
+    to how the data is stored in memory.
+
+    If `ndims` is less than or equal to `0`, the function returns `null`.
+
+    Parameters
+    ----------
+    ndims: integer
+        Number of loop dimensions.
+
+    Returns
+    -------
+    fcn: Function|null
+        Kernel function.
+
+    Examples
+    --------
+    > var f = {{alias}}( 2 )
+    <Function>
+
+
+{{alias}}.nd( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an n-dimensional input
+    ndarray according to a callback function using linear view iteration.
+
+    The function iterates based on the linear view index, regardless as to how
+    the data is stored in memory.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
new file mode 100644
index 000000000000..dd301b39f5bf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
@@ -0,0 +1,120 @@
+/**
+* @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';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+var kernel = require( './../lib' );
+
+function clbk( value, idx ) {
+	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+	'dtype': 'float64',
+	'data': xbuf,
+	'shape': xsh,
+	'strides': sx,
+	'offset': ox,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 0.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 4.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+	{
+		'dtype': x.dtype,
+		'data': x.data,
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': x.offset,
+		'order': x.order
+	},
+	{
+		'dtype': start.dtype,
+		'data': start.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': start.offset,
+		'order': start.order
+	},
+	{
+		'dtype': end.dtype,
+		'data': end.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': end.offset,
+		'order': end.order
+	}
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
new file mode 100644
index 000000000000..ad25b5d7bbcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
@@ -0,0 +1,72 @@
+/**
+* @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 put = require( '@stdlib/array/base/put' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
+var zeros = require( '@stdlib/array/base/zeros' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Wraps a provided callback function.
+*
+* @private
+* @param {ndarray} arr - input ndarray
+* @param {ndarray} view - subarray view of the input ndarray
+* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - loop dimensions
+* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
+* @param {NonNegativeIntegerArray} cdims - core dimensions
+* @param {Function} clbk - callback function
+* @param {thisArg} thisArg - callback execution context
+* @returns {Function} callback wrapper
+*/
+function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
+	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
+	put( idx, ldims, lidx, MODE );
+	return wrapper;
+
+	/**
+	* Invokes a callback function.
+	*
+	* @private
+	* @param {*} v - value
+	* @param {NonNegativeInteger} aidx - current array element index
+	* @returns {*} result
+	*/
+	function wrapper( v, aidx ) {
+		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
+		put( idx, cdims, cidx, MODE );
+		return clbk.call( thisArg, v, idx.slice(), arr );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
new file mode 100644
index 000000000000..dcf6eac59626
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
@@ -0,0 +1,142 @@
+/**
+* @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';
+
+/**
+* Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+*
+* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var nd = require( './nd.js' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'nd', nd );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
new file mode 100644
index 000000000000..9372484a4d03
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
@@ -0,0 +1,144 @@
+/**
+* @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 nullarynd = require( './nd.js' );
+
+
+// MAIN //
+
+/**
+* Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+*
+* @param {integer} ndims - number of loop dimensions
+* @returns {(Function|null)} kernel function or null
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( ndims ) {
+	if ( ndims <= 0 ) {
+		return null;
+	}
+	return nullarynd;
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/nd.js
new file mode 100644
index 000000000000..3c81167d2d62
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/nd.js
@@ -0,0 +1,209 @@
+/**
+* @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, max-params */
+
+'use strict';
+
+// MODULES //
+
+var numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Apply strided function:
+* nullarynd( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function nullarynd( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var len;
+	var arr;
+	var sub;
+	var iv;
+	var io;
+	var N;
+	var x;
+	var v;
+	var i;
+	var j;
+	var f;
+
+	N = arrays.length;
+
+	// Cache a reference to the input ndarray:
+	x = arrays[ 0 ];
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( shape );
+
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate based on the linear **view** index, regardless as to how the data is stored in memory...
+	io = zeros( N );
+	for ( i = 0; i < len; i++ ) {
+		for ( j = 0; j < N; j++ ) {
+			arr = arrays[ j ];
+			io[ j ] = vind2bind( shape, arr.strides, iv[ j ], arr.order, i, MODE );
+		}
+		setViewOffsets( views, io );
+		v[ 0 ] = strategyX.input( views[ 0 ] );
+		sub = ind2sub( shape, stridesX, 0, x.order, i, MODE );
+		f = wrap( ref, views[ 0 ], ibuf, ldims, sub, cdims, clbk, thisArg );
+		if ( hasOpts ) {
+			fcn( v, opts, f );
+		} else {
+			fcn( v, f );
+		}
+		strategyX.output( views[ 0 ] );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = nullarynd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
new file mode 100644
index 000000000000..3ee29f1721d0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
@@ -0,0 +1,65 @@
+{
+  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear",
+  "version": "0.0.0",
+  "description": "Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.",
+  "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": {
+    "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",
+    "base",
+    "strided",
+    "array",
+    "ndarray",
+    "nullary",
+    "apply",
+    "fill",
+    "callback",
+    "vector",
+    "kernel",
+    "linear"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
new file mode 100644
index 000000000000..053851cfb7f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.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 tape = require( 'tape' );
+var kernel = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
+	t.end();
+});
+
+// FIXME: add tests