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The airy function appears to exhibit larger and larger inaccuracies for negative inputs with increasing magnitudes when compared to mpmath and gsl's implementations which agree (up to 14 significant digits):
evaluating airy(-1):
gsl/mpmath give 0.53556088329235207
jmat gives 0.5355608832923521
evaluating airy(-10):
gsl/mpmath give 0.04024123848644407
jmat gives 0.03920869208237318
evaluating airy(-10.039):
gsl/mpmath give 0.00117947085303331
jmat gives 0.0001427415208784767
evaluating airy(-10.0392):
gsl/mpmath give 0.00097859799568954
jmat gives -0.00005811188429199858
evaluating airy(-10.03923511):
gsl/mpmath give 0.00094333472274730
jmat gives -0.00009337169944926118
The text was updated successfully, but these errors were encountered:
The airy function appears to exhibit larger and larger inaccuracies for negative inputs with increasing magnitudes when compared to mpmath and gsl's implementations which agree (up to 14 significant digits):
evaluating
airy(-1)
:0.53556088329235207
0.5355608832923521
evaluating
airy(-10)
:0.04024123848644407
0.03920869208237318
evaluating
airy(-10.039)
:0.00117947085303331
0.0001427415208784767
evaluating
airy(-10.0392)
:0.00097859799568954
-0.00005811188429199858
evaluating
airy(-10.03923511)
:0.00094333472274730
-0.00009337169944926118
The text was updated successfully, but these errors were encountered: