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refactor: improve the implementation of math/base/special/hyp2f1
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b359e62
chore: improve the implementation
officiallyanee c5fec0a
Merge remote-tracking branch 'upstream/develop' into improve/hyp2f1
stdlib-bot cc3d8a1
Merge remote-tracking branch 'upstream/develop' into improve/hyp2f1
stdlib-bot c9ec417
chore: update test to use ULP-based testing & move hyp2f1NegCEqualBC …
officiallyanee f39d34d
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2 changes: 1 addition & 1 deletion
2
lib/node_modules/@stdlib/math/base/special/hyp2f1/test/fixtures/python/edge_cases3.json
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1 change: 1 addition & 0 deletions
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lib/node_modules/@stdlib/math/base/special/hyp2f1/test/fixtures/python/edge_cases5.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| {"a": [1.5, 1.5, 2.5, 0.5, 1.5, 0.5, 2.0, 1.5, 2.5, 1.5], "b": [2.5, 2.5, 1.5, 2.5, 2.5, 1.5, 3.0, 3.5, 2.5, 3.5], "c": [3.0, 3.0, 3.0, 2.0, 2.0, 1.0, 4.0, 4.0, 4.0, 3.0], "x": [0.9, 0.95, 0.9, 0.92, 0.91, 0.9, 0.9, 0.88, 0.93, 0.91], "expected": [14.663397526525134, 30.949523656432504, 14.663397526525134, 6.507774205759818, 106.96827020610523, 7.033214388515233, 21.78942310292968, 13.41253423166626, 36.54504530314331, 88.86455455103395]} |
1 change: 1 addition & 0 deletions
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lib/node_modules/@stdlib/math/base/special/hyp2f1/test/fixtures/python/edge_cases6.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| {"a": [2.0, 2.0, 3.0, 0.5, 1.5, 2.0, 4.0, 0.5], "b": [-1.0, -2.0, -2.0, -3.0, -3.0, -4.0, -2.0, -1.0], "c": [-1.0, -2.0, -2.0, -3.0, -3.0, -4.0, -2.0, -1.0], "x": [0.5, 0.5, 0.3, 0.7, -0.5, 0.6, 0.8, -0.9], "expected": [2.0, 2.75, 2.44, 1.6409375, 0.4453125, 4.792, 10.600000000000001, 0.55]} |
2 changes: 1 addition & 1 deletion
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lib/node_modules/@stdlib/math/base/special/hyp2f1/test/fixtures/python/outliers.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| {"a": [-1.8, 1.8, 1.8, 1.8, 1.8, 5.0, 10.0, 10.0, 2.0, 2.0, -1.8, 1.8, 10.0, 10.0, 0.5, -8.0, -0.1156544430516313, -27.911722328444608, -10.184355055477743, -5.0083982772911, -0.7429095709749414, -14.55029516886238, -5.428179853908536, -1.8190858888165087, -0.9534205693212994, -31.70680212982947, -0.18350917503602782, -200.19574300099214, -8.837706832399117, -3.2052905962805456, -13.37614633859299], "b": [7.4, -2.5, 1.0, 7.4, 7.4, 7.4, 7.4, 7.4, 3.0, 2.5, -2.5, 7.4, 1.0, 7.4, -269.5, 18.016500331508873, 12.722140489351698, 14.018736008860946, 6.5450429328481174, 171.09919289684245, 11.725525989335528, 0.46553367087834685, 26.782963689614604, 21.025202609254364, 10.024920055648606, 0.11445767340979862, 14.696533286274349, 1.9444493115386567, 0.19096384651567044, 0.3048596186043564, 1.337786902832312], "c": [20.4, 20.4, 20.4, -1.8, 20.4, 20.4, 20.4, 20.4, 5.0, -3.25, 20.4, -1.8, -1.8, -1.8, 1.5, 10.805295997850628, -0.6030985338257255, -1.0168630024136034, -0.44051751620383994, -1.4923865283013589, -7.299203351011158, -0.5349901418098844, -4.162402828198655, -0.6960141045675334, -0.23845367675425955, -0.5570625216964069, -6.338990250643928, -0.6933677849479691, -2.3808990396202425, -0.7039276707364683, -0.05015281580946018], "x": [-10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, 0.95, 0.99, 0.999, -10.0, -1.01, -0.99, -0.99, 0.998001, 0.90875647507, -0.0005448214561780684, 0.6228483452847298, 0.6555896492302491, 0.7073764056574465, 0.11534401417791407, 0.6086682776938632, 0.10047548647104909, 0.2570211738060222, 0.4419851803780206, 0.020574313007314604, -0.9003519736816863, 0.24492811068225362, -0.27624718180517105, 0.8496565195400692, -0.0022109253176725296], "expected": [16.334204105729413, 5.883122144128727, 0.5820646473844754, 0.010147094307759376, 0.07291374137469146, 0.0011628419587190388, 8.042653908304492e-06, 566.0092271657466, 27.699347904322664, 2.183739328012162e+26, -0.5786871007671348, 0.10921062752340924, -0.8752587026378827, 0.4234752106080307, 0.053963052503373715, -3.566216341436626e-09, 0.998681836639102, 5.33299803869569, 1.1177709865124041, 3.491332086988064e+82, 1.132062691110089, -0.0006927158077474787, 98.41698380414908, -221.57018712798285, 43.53554136829992, 1.0540592696289446, 0.5371016318543966, 0.0028040224553278668, -2.4067466563131665, 0.028751519134363426, 0.18419839456905535]} | ||
| {"a": [-1.8, 1.8, 1.8, 1.8, 1.8, 5.0, 10.0, 10.0, 2.0, 2.0, -1.8, 1.8, 10.0, 10.0, 0.5, -8.0, -0.1156544430516313, -27.911722328444608, -10.184355055477743, -5.0083982772911, -0.7429095709749414, -14.55029516886238, -5.428179853908536, -1.8190858888165087, -0.9534205693212994, -31.70680212982947, -0.18350917503602782, -200.19574300099214, -8.837706832399117, -3.2052905962805456, -13.37614633859299], "b": [7.4, -2.5, 1.0, 7.4, 7.4, 7.4, 7.4, 7.4, 3.0, 2.5, -2.5, 7.4, 1.0, 7.4, -269.5, 18.016500331508873, 12.722140489351698, 14.018736008860946, 6.5450429328481174, 171.09919289684245, 11.725525989335528, 0.46553367087834685, 26.782963689614604, 21.025202609254364, 10.024920055648606, 0.11445767340979862, 14.696533286274349, 1.9444493115386567, 0.19096384651567044, 0.3048596186043564, 1.337786902832312], "c": [20.4, 20.4, 20.4, -1.8, 20.4, 20.4, 20.4, 20.4, 5.0, -3.25, 20.4, -1.8, -1.8, -1.8, 1.5, 10.805295997850628, -0.6030985338257255, -1.0168630024136034, -0.44051751620383994, -1.4923865283013589, -7.299203351011158, -0.5349901418098844, -4.162402828198655, -0.6960141045675334, -0.23845367675425955, -0.5570625216964069, -6.338990250643928, -0.6933677849479691, -2.3808990396202425, -0.7039276707364683, -0.05015281580946018], "x": [-10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, 0.95, 0.99, 0.999, -10.0, -1.01, -0.99, -0.99, 0.998001, 0.90875647507, -0.0005448214561780684, 0.6228483452847298, 0.6555896492302491, 0.7073764056574465, 0.11534401417791407, 0.6086682776938632, 0.10047548647104909, 0.2570211738060222, 0.4419851803780206, 0.020574313007314604, -0.9003519736816863, 0.24492811068225362, -0.27624718180517105, 0.8496565195400692, -0.0022109253176725296], "expected": [16.334204105729413, 5.883122144128727, 0.5820646473844754, 0.010147094307759376, 0.07291374137469146, 0.0011628419587190388, 8.042653908304492e-06, 566.0092271658314, 27.699347904322664, 2.1837393280121743e+26, -0.5786871007671348, 0.10921062752340924, -0.8752587026378827, 0.4234752106080307, 0.053963052503373715, -3.566216341436626e-09, 0.998681836639102, 5.33299803869569, 1.1177709865124041, 3.491332086988064e+82, 1.132062691110089, -0.0006927158077474787, 98.41698380414908, -221.57018712798285, 43.53554136829992, 1.0540592696289446, 0.5371016318543966, 0.0028040224553278668, -2.4067466563131665, 0.028751519134363426, 0.18419839456905535]} |
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0.85 was chosen arbitrarily through trial and error, this helped the case I mentioned in the description.
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@officiallyanee Do you happen to know where/why the
0.9was chosen in the first place?There was a problem hiding this comment.
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Its not explicitly mentioned in the cephes/scipy code but I went through some resources and found this:

ref: https://link.springer.com/article/10.1007/s11075-016-0173-0
I think it also explains why the initial case was performing badly too since |a| and |b| were much larger than |c|
and |x| is also pretty close to 1 so the power series was performing poorly.
In the range 0.85<x<0.9, it was true for every value as long as we keep a, b, c same.
( this is assuming wolfram as a better source of comparision )
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Thanks for digging up the reference!