jax.numpy.expm1¶
-
jax.numpy.
expm1
(x)¶ Calculate
exp(x) - 1
for all elements in the array.LAX-backend implementation of
expm1()
. Original docstring below.expm1(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
- Parameters
x (array_like) – Input values.
- Returns
out – Element-wise exponential minus one:
out = exp(x) - 1
. This is a scalar if x is a scalar.- Return type
ndarray or scalar
See also
log1p()
log(1 + x)
, the inverse of expm1.
Notes
This function provides greater precision than
exp(x) - 1
for small values ofx
.Examples
The true value of
exp(1e-10) - 1
is1.00000000005e-10
to about 32 significant digits. This example shows the superiority of expm1 in this case.>>> np.expm1(1e-10) 1.00000000005e-10 >>> np.exp(1e-10) - 1 1.000000082740371e-10