[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.math.bessel_ive\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/math/bessel.py#L992-L1018) |\n\nComputes exponentially scaled modified Bessel function of the first kind. \n\n tfp.math.bessel_ive(\n v, z, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|----------------------------------------------------------------------------------------------------------------------|\n| - [TFP Release Notes notebook (0.12.1)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_12_1) |\n\nThis function computes `Ive`, which is an exponentially scaled version\nof the modified Bessel function of the first kind.\n\n`Ive(v, z) = Iv(v, z) * exp(-abs(z))`\n| **Warning:** Gradients with respect to the first parameter `v` are currently not defined.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|------------------------------------------------------------------------------------------------------------------------------------------------|\n| `v` | Floating-point `Tensor` broadcastable with `z` for which `Ive(v, z)` should be computed. `v` is expected to be non-negative. |\n| `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. |\n| `name` | A name for the operation (optional). Default value: `None` (i.e., 'bessel_ive'). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|--------------|-----------------------------------------------------------|\n| `bessel_ive` | Exponentially modified Bessel Function of the first kind. |\n\n\u003cbr /\u003e"]]