tfp.math.bessel_ive | TensorFlow Probability (original) (raw)
tfp.math.bessel_ive
Computes exponentially scaled modified Bessel function of the first kind.
tfp.math.bessel_ive(
v, z, name=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| TFP Release Notes notebook (0.12.1) |
This function computes Ive, which is an exponentially scaled version of the modified Bessel function of the first kind.
Ive(v, z) = Iv(v, z) * exp(-abs(z))
| Args | |
|---|---|
| v | Floating-point Tensor broadcastable with z for which Ive(v, z)should be computed. v is expected to be non-negative. |
| z | Floating-point Tensor broadcastable with v for which Ive(v, z)should be computed. If z is negative, v is expected to be an integer. |
| name | A name for the operation (optional). Default value: None (i.e., 'bessel_ive'). |
| Returns | |
|---|---|
| bessel_ive | Exponentially modified Bessel Function of the first kind. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-11-21 UTC.