# rocsolver_spotf2_batched Interface Reference#

HIPFORT API Reference: hipfort_rocsolver::rocsolver_spotf2_batched Interface Reference
hipfort_rocsolver::rocsolver_spotf2_batched Interface Reference

POTF2_BATCHED computes the Cholesky factorization of a batch of real symmetric (complex Hermitian) positive definite matrices. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocsolver_spotf2_batched_ (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotf2_batched_full_rank (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotf2_batched_rank_0 (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function rocsolver_spotf2_batched_rank_1 (handle, uplo, n, A, lda, myInfo, batch_count)

## Detailed Description

POTF2_BATCHED computes the Cholesky factorization of a batch of real symmetric (complex Hermitian) positive definite matrices.

(This is the unblocked version of the algorithm).

The factorization of matrix $$A_i$$ in the batch has the form:

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

$$U_i$$ is an upper triangular matrix and $$L_i$$ is lower triangular.

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 array of pointers to type. Each pointer points to an array on the GPU of dimension lda*n. On entry, the matrices A_i to be factored. On exit, the upper or lower triangular factors. [in] lda rocblas_int. lda >= n. specifies the leading dimension of A_i. [out] info pointer to rocblas_int. Array of batch_count integers on the GPU. If info[i] = 0, successful factorization of matrix A_i. If info[i] = j > 0, the leading minor of order j of A_i is not positive definite. The i-th factorization stopped at this point. [in] batch_count rocblas_int. batch_count >= 0. Number of matrices in the batch.

## ◆ rocsolver_spotf2_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_batched_ ( type(c_ptr), value handle, integer(kind(rocblas_fill_upper)), value uplo, integer(c_int), value n, type(c_ptr) A, integer(c_int), value lda, integer(c_int) myInfo, integer(c_int), value batch_count )

## ◆ rocsolver_spotf2_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_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_int) myInfo, integer(c_int) batch_count )

## ◆ rocsolver_spotf2_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_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_int) myInfo, integer(c_int) batch_count )

## ◆ rocsolver_spotf2_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_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_int) myInfo, integer(c_int) batch_count )

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