|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/math/special.py#L1005-L1022) | Computes Dawson's integral element-wise. tfp.math.dawsn( x, name=None ) ### Used in the notebooks | Used in the tutorials | |---| | - [TFP Release Notes notebook (0.13.0)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_13_0) | Dawson's integral is defined as `exp(-x**2) * int_0^x exp(t**2)` with the domain of definition all real numbers. This implementation is based on the Cephes math library.


| ## Args || |---|---| | `x` | A Tensor with type `float32` or `float64`. | | `name` | A name for the operation (optional). |



| ## Returns || |---|---| | `dawsn` | dawsn evaluated at `x`. A Tensor with the same shape and same dtype as `x`. |