tf.math.special.dawsn | TensorFlow v2.16.1 (original) (raw)
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 ofexp(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