tfp.math.hpsd_solve bookmark_border Stay organized with collections Save and categorize content based on your preferences.

Computes matrix^-1 rhs, where matrix is HPSD.

tfp.math.hpsd_solve(
    matrix, rhs, cholesky_matrix=None
)

Given matrix and rhs, computes matrix^-1 rhs, where matrix is a Hermitian positive semi-definite matrix.

Args
`matrix`	Floating-point `Tensor` of shape `[..., N, N]`. Represents a Hermitian positive semi-definite matrix.
`rhs`	Floating-point `Tensor` of shape `[..., N, K]`.
`cholesky_matrix`	(Optional) Floating-point `Tensor` of shape `[..., N, N]` that represents a Cholesky factor of `matrix`.

Returns
`hpsd_solve`	`Tensor` of shape `[..., N, K]`.

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.

tfp.math.hpsd_solve bookmark_borderbookmark Stay organized with collections Save and categorize content based on your preferences.