# rocsolver_spotri_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocsolver::rocsolver_spotri_strided_batched Interface Reference
hipfort_rocsolver::rocsolver_spotri_strided_batched Interface Reference

POTRI_STRIDED_BATCHED inverts a batch of symmetric/hermitian positive definite matrices $$A_i$$. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocsolver_spotri_strided_batched_ (handle, uplo, n, A, lda, strideA, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotri_strided_batched_full_rank (handle, uplo, n, A, lda, strideA, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotri_strided_batched_rank_0 (handle, uplo, n, A, lda, strideA, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotri_strided_batched_rank_1 (handle, uplo, n, A, lda, strideA, myInfo, batch_count)

## Detailed Description

POTRI_STRIDED_BATCHED inverts a batch of symmetric/hermitian positive definite matrices $$A_i$$.

The inverse of matrix $$A_i$$ in the batch is computed as

$\begin{array}{cl} A_i^{-1} = U_i^{-1} {U_i^{-1}}' & \: \text{if uplo is upper, or}\newline A_i^{-1} = {L_i^{-1}}' L_i^{-1} & \: \text{if uplo is lower.} \end{array}$

where $$U_i$$ or $$L_i$$ is the triangular factor of the Cholesky factorization of $$A_i$$ returned by POTRF_STRIDED_BATCHED.

Parameters
 [in] handle rocblas_handle. [in] uplo rocblas_fill. Specifies whether the factorization is upper or lower triangular. If uplo indicates lower (or upper), then the upper (or lower) part of A is not used. [in] n rocblas_int. n >= 0. The number of rows and columns of matrix A_i. [in,out] A pointer to type. Array on the GPU (the size depends on the value of strideA). On entry, the factor L_i or U_i of the Cholesky factorization of A_i returned by POTRF_STRIDED_BATCHED. On exit, the inverses of A_i if info[i] = 0. [in] lda rocblas_int. lda >= n. specifies the leading dimension of A_i. [in] strideA rocblas_stride. Stride from the start of one matrix A_i to the next one A_(i+1). There is no restriction for the value of strideA. Normal use case is strideA >= lda*n. [out] info pointer to rocblas_int. Array of batch_count integers on the GPU. If info[i] = 0, successful exit for inversion of A_i. If info[i] = j > 0, A_i is singular. L_i[j,j] or U_i[j,j] is zero. [in] batch_count rocblas_int. batch_count >= 0. Number of matrices in the batch.

## ◆ rocsolver_spotri_strided_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotri_strided_batched::rocsolver_spotri_strided_batched_ ( type(c_ptr), value handle, integer(kind(rocblas_fill_upper)), value uplo, integer(c_int), value n, type(c_ptr), value A, integer(c_int), value lda, integer(c_int64_t), value strideA, integer(c_int) myInfo, integer(c_int), value batch_count )

## ◆ rocsolver_spotri_strided_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotri_strided_batched::rocsolver_spotri_strided_batched_full_rank ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_float), dimension(:,:), target A, integer(c_int) lda, integer(c_int64_t) strideA, integer(c_int) myInfo, integer(c_int) batch_count )

## ◆ rocsolver_spotri_strided_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotri_strided_batched::rocsolver_spotri_strided_batched_rank_0 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_float), target A, integer(c_int) lda, integer(c_int64_t) strideA, integer(c_int) myInfo, integer(c_int) batch_count )

## ◆ rocsolver_spotri_strided_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotri_strided_batched::rocsolver_spotri_strided_batched_rank_1 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_float), dimension(:), target A, integer(c_int) lda, integer(c_int64_t) strideA, integer(c_int) myInfo, integer(c_int) batch_count )

The documentation for this interface was generated from the following file: