[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.math.logerfcx\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/math/special.py#L1195-L1219) |\n\nComputes the logarithm of [`tfp.math.erfcx`](../../tfp/math/erfcx) of `x` element-wise. \n\n tfp.math.logerfcx(\n x, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|----------------------------------------------------------------------------------------------------------------------|\n| - [TFP Release Notes notebook (0.13.0)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_13_0) |\n\n| **Note:** This is mathematically equivalent to computing `log(erfcx(x))` however is more numerically stable.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|--------------------------------------------|\n| `x` | A Tensor with type `float32` or `float64`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|------------|-------------------------------------------------------------------------------------|\n| `logerfcx` | log(erfcx(x)) evaluated at `x`. A Tensor with the same shape and same dtype as `x`. |\n\n\u003cbr /\u003e"]]
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