tfp.math.hpsd_solvevec

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

tfp.math.hpsd_solvevec(
    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]`.
`cholesky_matrix`	(Optional) Floating-point `Tensor` of shape `[..., N, N]` that represents a Cholesky factor of `matrix`.

Returns
`hpsd_solvevec`	`Tensor` of shape `[..., N]`.

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.

Args