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# tfp.substrates.jax.math.hpsd_solve

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

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

`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`.

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

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