# tf.math.special.dawsn

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/special_math_ops.py#L101-L129) |

Computes Dawson's integral of `x` element-wise.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.math.special.dawsn`](https://www.tensorflow.org/api_docs/python/tf/math/special/dawsn)

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    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.

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| ## Args ||
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| `x` | A `Tensor` or `SparseTensor`. Must be one of the following types: `float32`, `float64`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
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| A `Tensor` or `SparseTensor`, respectively. Has the same type as `x`. ||

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## scipy compatibility

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Equivalent to scipy.special.dawsn

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