sposv
sposv - compute the solution to a real system of linear equations A * X = B,
SUBROUTINE SPOSV( UPLO, N, NRHS, A, LDA, B, LDB, INFO)
CHARACTER * 1 UPLO
INTEGER N, NRHS, LDA, LDB, INFO
REAL A(LDA,*), B(LDB,*)
SUBROUTINE SPOSV_64( UPLO, N, NRHS, A, LDA, B, LDB, INFO)
CHARACTER * 1 UPLO
INTEGER*8 N, NRHS, LDA, LDB, INFO
REAL A(LDA,*), B(LDB,*)
SUBROUTINE POSV( UPLO, [N], [NRHS], A, [LDA], B, [LDB], [INFO])
CHARACTER(LEN=1) :: UPLO
INTEGER :: N, NRHS, LDA, LDB, INFO
REAL, DIMENSION(:,:) :: A, B
SUBROUTINE POSV_64( UPLO, [N], [NRHS], A, [LDA], B, [LDB], [INFO])
CHARACTER(LEN=1) :: UPLO
INTEGER(8) :: N, NRHS, LDA, LDB, INFO
REAL, DIMENSION(:,:) :: A, B
#include <sunperf.h>
void sposv(char uplo, int n, int nrhs, float *a, int lda, float *b, int ldb, int *info);
void sposv_64(char uplo, long n, long nrhs, float *a, long lda, float *b, long ldb, long *info);
sposv computes the solution to a real system of linear equations
A * X = B,
where A is an N-by-N symmetric positive definite matrix and X and B
are N-by-NRHS matrices.
The Cholesky decomposition is used to factor A as
A = U**T* U, if UPLO = 'U', or
A = L * L**T, if UPLO = 'L',
where U is an upper triangular matrix and L is a lower triangular
matrix. The factored form of A is then used to solve the system of
equations A * X = B.
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* UPLO (input)
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* N (input)
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The number of linear equations, i.e., the order of the
matrix A. N >= 0.
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* NRHS (input)
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The number of right hand sides, i.e., the number of columns
of the matrix B. NRHS >= 0.
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* A (input/output)
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On entry, the symmetric matrix A. If UPLO = 'U', the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T.
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* LDA (input)
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The leading dimension of the array A. LDA >= max(1,N).
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* B (input/output)
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On entry, the N-by-NRHS right hand side matrix B.
On exit, if INFO = 0, the N-by-NRHS solution matrix X.
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* LDB (input)
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The leading dimension of the array B. LDB >= max(1,N).
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* INFO (output)
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