tf.math.special.dawsn
Computes Dawson's integral of x
element-wise.
tf.math.special.dawsn( x, name=None )
Dawson's integral is defined as exp(-x**2)
times the integral of exp(t**2)
from 0
to x
, with the domain of definition all real numbers.
Dawson's function is odd.
>>> tf.math.special.dawsn([-1., -0.5, 0.5, 1.]).numpy() array([-0.5380795, -0.4244364, 0.4244364, 0.5380795], dtype=float32)
This implementation is based off of the Cephes math library.
Args | |
---|---|
x | A Tensor or SparseTensor . Must be one of the following types: float32 , float64 . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor or SparseTensor , respectively. Has the same type as x . |
Scipy Compatibility
Equivalent to scipy.special.dawsn
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/math/special/dawsn