sytf2#
Functions
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void ssytf2(const char *uplo, const INT n, f32 *restrict A, const INT lda, INT *restrict ipiv, INT *info)#
SSYTF2 computes the factorization of a real symmetric matrix A using the Bunch-Kaufman diagonal pivoting method:
A = U*D*U**T or A = L*D*L**T
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, U**T is the transpose of U, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks.
This is the unblocked version of the algorithm, calling Level 2 BLAS.
Parameters
inuplo‘U’: Upper triangular factorization (A = U*D*U**T) ‘L’: Lower triangular factorization (A = L*D*L**T)
innThe order of the matrix A. n >= 0.
inoutADouble precision array, dimension (lda, n). On entry, the symmetric matrix A. If uplo = “U”, the leading n-by-n upper triangular part contains the upper triangular part of A. If uplo = “L”, the leading n-by-n lower triangular part contains the lower triangular part. On exit, the block diagonal matrix D and the multipliers used to obtain the factor U or L.
inldaThe leading dimension of A. lda >= max(1, n).
outipivInteger array, dimension (n). Pivot indices (0-based). If ipiv[k] >= 0: rows/columns k and ipiv[k] were interchanged, D(k,k) is a 1-by-1 block. If ipiv[k] < 0 (upper): rows/columns k-1 and -ipiv[k]-1 were interchanged, D(k-1:k,k-1:k) is a 2-by-2 block, and ipiv[k-1] = ipiv[k]. If ipiv[k] < 0 (lower): rows/columns k+1 and -ipiv[k]-1 were interchanged, D(k:k+1,k:k+1) is a 2-by-2 block, and ipiv[k+1] = ipiv[k].
outinfo= 0: successful exit
< 0: if info = -i, the i-th argument had an illegal value
> 0: if info = k, D(k,k) is exactly zero. The factorization has been completed, but D is exactly singular, and division by zero will occur if it is used to solve a system of equations.
void ssytf2(
const char* uplo,
const INT n,
f32* restrict A,
const INT lda,
INT* restrict ipiv,
INT* info
);
Functions
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void dsytf2(const char *uplo, const INT n, f64 *restrict A, const INT lda, INT *restrict ipiv, INT *info)#
DSYTF2 computes the factorization of a real symmetric matrix A using the Bunch-Kaufman diagonal pivoting method:
A = U*D*U**T or A = L*D*L**T
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, U**T is the transpose of U, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks.
This is the unblocked version of the algorithm, calling Level 2 BLAS.
Parameters
inuplo‘U’: Upper triangular factorization (A = U*D*U**T) ‘L’: Lower triangular factorization (A = L*D*L**T)
innThe order of the matrix A. n >= 0.
inoutADouble precision array, dimension (lda, n). On entry, the symmetric matrix A. If uplo = “U”, the leading n-by-n upper triangular part contains the upper triangular part of A. If uplo = “L”, the leading n-by-n lower triangular part contains the lower triangular part. On exit, the block diagonal matrix D and the multipliers used to obtain the factor U or L.
inldaThe leading dimension of A. lda >= max(1, n).
outipivInteger array, dimension (n). Pivot indices (0-based). If ipiv[k] >= 0: rows/columns k and ipiv[k] were interchanged, D(k,k) is a 1-by-1 block. If ipiv[k] < 0 (upper): rows/columns k-1 and -ipiv[k]-1 were interchanged, D(k-1:k,k-1:k) is a 2-by-2 block, and ipiv[k-1] = ipiv[k]. If ipiv[k] < 0 (lower): rows/columns k+1 and -ipiv[k]-1 were interchanged, D(k:k+1,k:k+1) is a 2-by-2 block, and ipiv[k+1] = ipiv[k].
outinfo= 0: successful exit
< 0: if info = -i, the i-th argument had an illegal value
> 0: if info = k, D(k,k) is exactly zero. The factorization has been completed, but D is exactly singular, and division by zero will occur if it is used to solve a system of equations.
void dsytf2(
const char* uplo,
const INT n,
f64* restrict A,
const INT lda,
INT* restrict ipiv,
INT* info
);
Functions
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void csytf2(const char *uplo, const INT n, c64 *restrict A, const INT lda, INT *restrict ipiv, INT *info)#
CSYTF2 computes the factorization of a complex symmetric matrix A using the Bunch-Kaufman diagonal pivoting method:
A = U*D*U**T or A = L*D*L**T
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, U**T is the transpose of U, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks.
This is the unblocked version of the algorithm, calling Level 2 BLAS.
Parameters
inuplo‘U’: Upper triangular factorization (A = U*D*U**T) ‘L’: Lower triangular factorization (A = L*D*L**T)
innThe order of the matrix A. n >= 0.
inoutASingle complex array, dimension (lda, n). On entry, the symmetric matrix A. If uplo = “U”, the leading n-by-n upper triangular part contains the upper triangular part of A. If uplo = “L”, the leading n-by-n lower triangular part contains the lower triangular part. On exit, the block diagonal matrix D and the multipliers used to obtain the factor U or L.
inldaThe leading dimension of A. lda >= max(1, n).
outipivInteger array, dimension (n). Pivot indices (0-based). If ipiv[k] >= 0: rows/columns k and ipiv[k] were interchanged, D(k,k) is a 1-by-1 block. If ipiv[k] < 0 (upper): rows/columns k-1 and -ipiv[k]-1 were interchanged, D(k-1:k,k-1:k) is a 2-by-2 block, and ipiv[k-1] = ipiv[k]. If ipiv[k] < 0 (lower): rows/columns k+1 and -ipiv[k]-1 were interchanged, D(k:k+1,k:k+1) is a 2-by-2 block, and ipiv[k+1] = ipiv[k].
outinfo= 0: successful exit
< 0: if info = -i, the i-th argument had an illegal value
> 0: if info = k, D(k,k) is exactly zero. The factorization has been completed, but D is exactly singular, and division by zero will occur if it is used to solve a system of equations.
void csytf2(
const char* uplo,
const INT n,
c64* restrict A,
const INT lda,
INT* restrict ipiv,
INT* info
);
Functions
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void zsytf2(const char *uplo, const INT n, c128 *restrict A, const INT lda, INT *restrict ipiv, INT *info)#
ZSYTF2 computes the factorization of a complex symmetric matrix A using the Bunch-Kaufman diagonal pivoting method:
A = U*D*U**T or A = L*D*L**T
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, U**T is the transpose of U, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks.
This is the unblocked version of the algorithm, calling Level 2 BLAS.
Parameters
inuplo‘U’: Upper triangular factorization (A = U*D*U**T) ‘L’: Lower triangular factorization (A = L*D*L**T)
innThe order of the matrix A. n >= 0.
inoutADouble complex array, dimension (lda, n). On entry, the symmetric matrix A. If uplo = “U”, the leading n-by-n upper triangular part contains the upper triangular part of A. If uplo = “L”, the leading n-by-n lower triangular part contains the lower triangular part. On exit, the block diagonal matrix D and the multipliers used to obtain the factor U or L.
inldaThe leading dimension of A. lda >= max(1, n).
outipivInteger array, dimension (n). Pivot indices (0-based). If ipiv[k] >= 0: rows/columns k and ipiv[k] were interchanged, D(k,k) is a 1-by-1 block. If ipiv[k] < 0 (upper): rows/columns k-1 and -ipiv[k]-1 were interchanged, D(k-1:k,k-1:k) is a 2-by-2 block, and ipiv[k-1] = ipiv[k]. If ipiv[k] < 0 (lower): rows/columns k+1 and -ipiv[k]-1 were interchanged, D(k:k+1,k:k+1) is a 2-by-2 block, and ipiv[k+1] = ipiv[k].
outinfo= 0: successful exit
< 0: if info = -i, the i-th argument had an illegal value
> 0: if info = k, D(k,k) is exactly zero. The factorization has been completed, but D is exactly singular, and division by zero will occur if it is used to solve a system of equations.
void zsytf2(
const char* uplo,
const INT n,
c128* restrict A,
const INT lda,
INT* restrict ipiv,
INT* info
);