cgesylv - Man Page
Name
cgesylv — C-Interface
— C-Interface for standard Sylvester equations.
Synopsis
Functions
void mepack_double_gesylv (const char *FACTA, const char *FACTB, const char *TRANSA, const char *TRANSB, double SGN, int M, int N, double *A, int LDA, double *B, int LDB, double *QA, int LDQA, double *QB, int LDQB, double *X, int LDX, double *SCALE, double *WORK, size_t LDWORK, int *INFO)
Frontend for the solution of Standard Sylvester Equations.
void mepack_single_gesylv (const char *FACTA, const char *FACTB, const char *TRANSA, const char *TRANSB, float SGN, int M, int N, float *A, int LDA, float *B, int LDB, float *QA, int LDQA, float *QB, int LDQB, float *X, int LDX, float *SCALE, float *WORK, size_t LDWORK, int *INFO)
Frontend for the solution of Standard Sylvester Equations.
void mepack_double_gesylv2 (const char *FACTA, const char *FACTB, const char *TRANSA, const char *TRANSB, double SGN, int M, int N, double *A, int LDA, double *B, int LDB, double *QA, int LDQA, double *QB, int LDQB, double *X, int LDX, double *SCALE, double *WORK, size_t LDWORK, int *INFO)
Frontend for the solution of Standard Sylvester Equations.
void mepack_single_gesylv2 (const char *FACTA, const char *FACTB, const char *TRANSA, const char *TRANSB, float SGN, int M, int N, float *A, int LDA, float *B, int LDB, float *QA, int LDQA, float *QB, int LDQB, float *X, int LDX, float *SCALE, float *WORK, size_t LDWORK, int *INFO)
Frontend for the solution of Standard Sylvester Equations.
void mepack_double_gesylv_refine (const char *TRANSA, const char *TRANSB, const char *GUESS, double SGN, int M, int N, double *A, int LDA, double *B, int LDB, double *X, int LDX, double *Y, int LDY, double *AS, int LDAS, double *BS, int LDBS, double *Q, int LDQ, double *U, int LDU, int *MAXIT, double *TAU, double *CONVLOG, double *WORK, size_t LDWORK, int *INFO)
Iterative Refinement for the standard Sylvester Equations.
void mepack_single_gesylv_refine (const char *TRANSA, const char *TRANSB, const char *GUESS, float SGN, int M, int N, float *A, int LDA, float *B, int LDB, float *X, int LDX, float *Y, int LDY, float *AS, int LDAS, float *BS, int LDBS, float *Q, int LDQ, float *U, int LDU, int *MAXIT, float *TAU, float *CONVLOG, float *WORK, size_t LDWORK, int *INFO)
Iterative Refinement for the standard Sylvester Equations.
void mepack_double_gesylv2_refine (const char *TRANSA, const char *TRANSB, const char *GUESS, double SGN, int M, int N, double *A, int LDA, double *B, int LDB, double *X, int LDX, double *Y, int LDY, double *AS, int LDAS, double *BS, int LDBS, double *Q, int LDQ, double *U, int LDU, int *MAXIT, double *TAU, double *CONVLOG, double *WORK, size_t LDWORK, int *INFO)
Iterative Refinement for the standard Sylvester Equations.
void mepack_single_gesylv2_refine (const char *TRANSA, const char *TRANSB, const char *GUESS, float SGN, int M, int N, float *A, int LDA, float *B, int LDB, float *X, int LDX, float *Y, int LDY, float *AS, int LDAS, float *BS, int LDBS, float *Q, int LDQ, float *U, int LDU, int *MAXIT, float *TAU, float *CONVLOG, float *WORK, size_t LDWORK, int *INFO)
Iterative Refinement for the standard Sylvester Equations.
Detailed Description
C-Interface for standard Sylvester equations.
The Fortran routines to solve the standard Sylvester equation with arbitrary coefficients are wrapped in C to provide an easier access to them. All wrapper routines are direct wrappers to the corresponding Fortran subroutines without sanity checks. These are performed by the Fortran routines. The only difference is that the C interface does not allow LAPACK-like work_space queries. For this purpose the mepack_memory_frontend function needs to be used.
Function Documentation
void mepack_double_gesylv (const char * FACTA, const char * FACTB, const char * TRANSA, const char * TRANSB, double SGN, int M, int N, double * A, int LDA, double * B, int LDB, double * QA, int LDQA, double * QB, int LDQB, double * X, int LDX, double * SCALE, double * WORK, size_t LDWORK, int * INFO)
Frontend for the solution of Standard Sylvester Equations.
Purpose:
mepack_double_gesylv solves a Sylvester equation of the following forms op1(A) * X + X * op2(B) = SCALE * Y (1) or op1(A) * X - X * op2(B) = SCALE * Y (2) where A is a M-by-M matrix and B is a N-by-N matrix. The right hand side Y and the solution X are M-by-N matrices. The matrices A and B can be either a general unreduced matrix or an upper Hessenberg form or a (quasi-) upper triangular factor. In the latter case QA and QB provide the Schur-vectors of the matrices A and B.
- Remarks
This function is a wrapper for dla_gesylv.
- See also
dla_gesylv
- Parameters
FACTA
FACTA is String Specifies how the matrix A is given. == 'N': The matrix A is given as a general matrix and its Schur decomposition A = QA*S*QA**T will be computed. == 'F': The matrix A is given as its Schur decomposition in terms of S and QA form A = QA*S*QA**T == 'H': The matrix A is given in upper Hessenberg form and its Schur decomposition A = QA*S*QA**T will be computed
FACTB
FACTB is String Specifies how the matrix B is given. == 'N': The matrix B is given as a general matrix and its Schur decomposition B = QB*R*QB**T will be computed. == 'F': The matrix B is given as its Schur decomposition in terms of R and QB form B = QB*R*QB**T == 'H': The matrix B is given in upper Hessenberg form and its Schur decomposition B = QB*R*QB**T will be computed
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between the two parts of the Sylvester equation. = 1 : Solve Equation (1) == -1: Solve Equation (2)
M
M is INTEGER The order of the matrices A and C. M >= 0.
N
N is INTEGER The order of the matrices B and D. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix A is a general matrix and it is overwritten with its schur decomposition S. If FACTA == 'F', the matrix A contains its (quasi-) upper triangular matrix S being the Schur decomposition of A. If FACTA == 'H', the matrix A is an upper Hessenberg matrix and it is overwritten with its schur decomposition S.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) If FACTB == 'N', the matrix B is a general matrix and it is overwritten with its schur decomposition R. If FACTB == 'F', the matrix B contains its (quasi-) upper triangular matrix R being the Schur decomposition of B. If FACTB == 'N', the matrix B is an upper Hessenberg matrix and it is overwritten with its schur decomposition R.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
QA
QA is DOUBLE PRECISION array, dimension (LDQA,M) If FACT == 'N', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output. If FACT == 'F', the matrix QA contains the Schur vectors of A. If FACT == 'H', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output.
LDQA
LDQA is INTEGER The leading dimension of the array QA. LDQA >= max(1,M).
QB
QB is DOUBLE PRECISION array, dimension (LDQB,N) If FACT == 'N', the matrix QB is an empty N-by-N matrix on input and contains the Schur vectors of B on output. If FACT == 'F', the matrix QB contains the Schur vectors of B. If FACT == 'H', the matrix QB is an empty N-by-N matrix on input and contains the Schur vectors of B on output.
LDQB
LDQB is INTEGER The leading dimension of the array QB. LDQB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the matrix X contains the right hand side Y. On output, the matrix X contains the solution of Equation (1) or (2) Right hand side Y and the solution X are M-by-N matrices.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
SCALE
SCALE is DOUBLE PRECISION SCALE is a scaling factor to prevent the overflow in the result. If INFO == 0 then SCALE is 1.0D0 otherwise if one of the inner systems could not be solved correctly, 0 < SCALE <= 1 holds true.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm. The optimal workspace is given either by \ref mepack_memory_frontend.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm counted in floating point numbers of the actual precision. The C interface does not support the workspace query by setting LDWORK == -1 on input. In this case, the \ref mepack_memory_frontend function have to be used.
INFO
INFO is INTEGER == 0: successful exit = 1: DHGEES failed = 2: DLA_SORT_EV failed = 3: DLA_TRLYAP_DAG failed < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 234 of file gesylv.c.
void mepack_double_gesylv2 (const char * FACTA, const char * FACTB, const char * TRANSA, const char * TRANSB, double SGN, int M, int N, double * A, int LDA, double * B, int LDB, double * QA, int LDQA, double * QB, int LDQB, double * X, int LDX, double * SCALE, double * WORK, size_t LDWORK, int * INFO)
Frontend for the solution of Standard Sylvester Equations.
Purpose:
mepack_double_gesylv2 solves a Sylvester equation of the following forms op1(A) * X * op2(B) + X = SCALE * Y (1) or op1(A) * X * op2(B) - X = SCALE * Y (2) where A is a M-by-M matrix and B is a N-by-N matrix. The right hand side Y and the solution X are M-by-N matrices. The matrices A and B can be either a general unreduced matrix or an upper Hessenberg form or a (quasi-) upper triangular factor. In the latter case QA and QB provide the Schur-vectors of the matrices A and B.
- Remarks
This function is a wrapper for dla_gesylv2.
- See also
dla_gesylv2
- Parameters
FACTA
FACTA is String Specifies how the matrix A is given. == 'N': The matrix A is given as a general matrix and its Schur decomposition A = QA*S*QA**T will be computed. == 'F': The matrix A is given as its Schur decomposition in terms of S and QA form A = QA*S*QA**T == 'H': The matrix A is given in upper Hessenberg form and its Schur decomposition A = QA*S*QA**T will be computed
FACTB
FACTB is String Specifies how the matrix B is given. == 'N': The matrix B is given as a general matrix and its Schur decomposition B = QB*R*QB**T will be computed. == 'F': The matrix B is given as its Schur decomposition in terms of R and QB form B = QB*R*QB**T == 'H': The matrix B is given in upper Hessenberg form and its Schur decomposition B = QB*R*QB**T will be computed
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between the two parts of the Sylvester equation. = 1 : Solve Equation (1) == -1: Solve Equation (2)
M
M is INTEGER The order of the matrices A and C. M >= 0.
N
N is INTEGER The order of the matrices B and D. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix A is a general matrix and it is overwritten with its schur decomposition S. If FACTA == 'F', the matrix A contains its (quasi-) upper triangular matrix S being the Schur decomposition of A. If FACTA == 'H', the matrix A is an upper Hessenberg matrix and it is overwritten with its schur decomposition S.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) If FACTB == 'N', the matrix B is a general matrix and it is overwritten with its schur decomposition R. If FACTB == 'F', the matrix B contains its (quasi-) upper triangular matrix R beeping the Schur decomposition of B. If FACTB == 'H', the matrix B is an upper Hessenberg matrix and it is overwritten with its schur decomposition R.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
QA
QA is DOUBLE PRECISION array, dimension (LDQA,M) If FACTA == 'N', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output. If FACTA == 'F', the matrix QA contains the Schur vectors of A. If FACTA == 'H', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output.
LDQA
LDQA is INTEGER The leading dimension of the array QA. LDQA >= max(1,M).
QB
QB is DOUBLE PRECISION array, dimension (LDQB,N) If FACTB == 'N', the matrix QB is an empty N-by-N matrix on input and contains the Schur vectors of B on output. If FACTB == 'F', the matrix QB contains the Schur vectors of B. QB is DOUBLE PRECISION array, dimension (LDQB,N) If FACTB == 'H', the matrix QB is an empty N-by-N matrix on input and contains the Schur vectors of B on output.
LDQB
LDQB is INTEGER The leading dimension of the array QB. LDQB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the matrix X contains the right hand side Y. On output, the matrix X contains the solution of Equation (1) or (2) Right hand side Y and the solution X are M-by-N matrices.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
SCALE
SCALE is DOUBLE PRECISION SCALE is a scaling factor to prevent the overflow in the result. If INFO == 0 then SCALE is 1.0D0 otherwise if one of the inner systems could not be solved correctly, 0 < SCALE <= 1 holds true.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm. The optimal workspace is given either by \ref mepack_memory_frontend.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm counted in floating point numbers of the actual precision. The C interface does not support the workspace query by setting LDWORK == -1 on input. In this case, the \ref mepack_memory_frontend function have to be used.
INFO
INFO is INTEGER == 0: successful exit = 1: DHGEES failed = 2: DLA_SORT_EV failed = 3: DLA_TRLYAP_DAG failed < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 235 of file gesylv2.c.
void mepack_double_gesylv2_refine (const char * TRANSA, const char * TRANSB, const char * GUESS, double SGN, int M, int N, double * A, int LDA, double * B, int LDB, double * X, int LDX, double * Y, int LDY, double * AS, int LDAS, double * BS, int LDBS, double * Q, int LDQ, double * U, int LDU, int * MAXIT, double * TAU, double * CONVLOG, double * WORK, size_t LDWORK, int * INFO)
Iterative Refinement for the standard Sylvester Equations.
Purpose:
mepack_double_gesylv2_refine solves a Sylvester equation of the following forms op1(A) * X * op2(B) + X = Y (1) or op1(A) * X * op2(B) - X = Y (2) where A is a M-by-M matrix and B is a N-by-N matrix using iterative refinement. The right hand side Y and the solution X are M-by-N matrices. The matrix A and B need to be given in the original form as well as in their Schur decomposition since both are required in the iterative refinement procedure.
- Remarks
This function is a wrapper for dla_gesylv2_refine
- See also
dla_gesylv2_refine
- Parameters
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
GUESS
GUESS is String Specifies whether X contains an initial guess on input or not. = 'I': X contains an initial guess for the solution == 'N': No initial guess is provided. X is set to zero.
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between both terms.
M
M is INTEGER The order of the matrix A. M >= 0.
N
N is INTEGER The order of the matrix B. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) The array A contains the original matrix A defining the equation.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) The array B contains the original matrix B defining the equation.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the array X contains the initial guess. On output, the array X contains the solution X.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
Y
Y is DOUBLE PRECISION array, dimension (LDY,N) On input, the array Y contains the right hand side.
LDY
LDY is INTEGER The leading dimension of the array Y. LDY >= max(1,M).
AS
AS is DOUBLE PRECISION array, dimension (LDAS,M) The array AS contains the Schur decomposition of the A.
LDAS
LDAS is INTEGER The leading dimension of the array AS. LDAS >= max(1,M).
BS
BS is DOUBLE PRECISION array, dimension (LDBS,N) The array BS contains the Schur decomposition of B.
LDBS
LDBS is INTEGER The leading dimension of the array BS. LDBS >= max(1,N).
Q
Q is DOUBLE PRECISION array, dimension (LDQ,M) The array Q contains the Schur vectors of A as returned by DGEES.
LDQ
LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,M).
U
U is DOUBLE PRECISION array, dimension (LDU,N) The array U contains the Schur vectors of B as returned by DGEES.
LDU
LDU is INTEGER The leading dimension of the array U. LDU >= max(1,N).
MAXIT
MAXIT is INTEGER On input, MAXIT contains the maximum number of iteration that are performed, MAXIT <= 100 On exit, MAXIT contains the number of iteration steps taken by the algorithm.
TAU
TAU is DOUBLE PRECISION On input, TAU contains the additional security factor for the stopping criterion, typical values are 0.1 On exit, TAU contains the last relative residual when the stopping criterion got valid.
CONVLOG
CONVLOG is DOUBLE PRECISION array, dimension (MAXIT) The CONVLOG array contains the convergence history of the iterative refinement. CONVLOG(I) contains the maximum relative residual before it is solved for the I-Th time.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm. This can be determined by a call \ref mepack_memory_frontend.
INFO
INFO is INTEGER == 0: Success > 0: Iteration failed in step INFO < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 245 of file gesylv2.c.
void mepack_double_gesylv_refine (const char * TRANSA, const char * TRANSB, const char * GUESS, double SGN, int M, int N, double * A, int LDA, double * B, int LDB, double * X, int LDX, double * Y, int LDY, double * AS, int LDAS, double * BS, int LDBS, double * Q, int LDQ, double * U, int LDU, int * MAXIT, double * TAU, double * CONVLOG, double * WORK, size_t LDWORK, int * INFO)
Iterative Refinement for the standard Sylvester Equations.
Purpose:
mepack_double_gesylv_refine solves a Sylvester equation of the following forms op1(A) * X + X * op2(B) = Y (1) or op1(A) * X - X * op2(B) = Y (2) where A is a M-by-M matrix and B is a N-by-N matrix using iterative refinement. The right hand side Y and the solution X are M-by-N matrices. The matrix A and B need to be given in the original form as well as in their Schur decomposition since both are required in the iterative refinement procedure.
- Remarks
This function is a wrapper for dla_gesylv_refine
- See also
dla_gesylv_refine
- Parameters
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
GUESS
GUESS is String Specifies whether X contains an initial guess on input or not. = 'I': X contains an initial guess for the solution == 'N': No initial guess is provided. X is set to zero.
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between both terms.
M
M is INTEGER The order of the matrix A. M >= 0.
N
N is INTEGER The order of the matrix B. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) The array A contains the original matrix A defining the equation.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) The array B contains the original matrix B defining the equation.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the array X contains the initial guess. On output, the array X contains the solution X.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
Y
Y is DOUBLE PRECISION array, dimension (LDY,N) On input, the array Y contains the right hand side.
LDY
LDY is INTEGER The leading dimension of the array Y. LDY >= max(1,M).
AS
AS is DOUBLE PRECISION array, dimension (LDAS,M) The array AS contains the Schur decomposition of the A.
LDAS
LDAS is INTEGER The leading dimension of the array AS. LDAS >= max(1,M).
BS
BS is DOUBLE PRECISION array, dimension (LDBS,N) The array BS contains the Schur decomposition of B.
LDBS
LDBS is INTEGER The leading dimension of the array BS. LDBS >= max(1,N).
Q
Q is DOUBLE PRECISION array, dimension (LDQ,M) The array Q contains the Schur vectors of A as returned by DGEES.
LDQ
LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,M).
U
U is DOUBLE PRECISION array, dimension (LDU,N) The array U contains the Schur vectors of B as returned by DGEES.
LDU
LDU is INTEGER The leading dimension of the array U. LDU >= max(1,N).
MAXIT
MAXIT is INTEGER On input, MAXIT contains the maximum number of iteration that are performed, MAXIT <= 100 On exit, MAXIT contains the number of iteration steps taken by the algorithm.
TAU
TAU is DOUBLE PRECISION On input, TAU contains the additional security factor for the stopping criterion, typical values are 0.1 On exit, TAU contains the last relative residual when the stopping criterion got valid.
CONVLOG
CONVLOG is DOUBLE PRECISION array, dimension (MAXIT) The CONVLOG array contains the convergence history of the iterative refinement. CONVLOG(I) contains the maximum relative residual before it is solved for the I-Th time.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm. This can be determined by a call \ref mepack_memory_frontend.
INFO
INFO is INTEGER == 0: Success > 0: Iteration failed in step INFO < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 246 of file gesylv.c.
void mepack_single_gesylv (const char * FACTA, const char * FACTB, const char * TRANSA, const char * TRANSB, float SGN, int M, int N, float * A, int LDA, float * B, int LDB, float * QA, int LDQA, float * QB, int LDQB, float * X, int LDX, float * SCALE, float * WORK, size_t LDWORK, int * INFO)
Frontend for the solution of Standard Sylvester Equations.
Purpose:
mepack_single_gesylv solves a Sylvester equation of the following forms op1(A) * X + X * op2(B) = SCALE * Y (1) or op1(A) * X - X * op2(B) = SCALE * Y (2) where A is a M-by-M matrix and B is a N-by-N matrix. The right hand side Y and the solution X are M-by-N matrices. The matrices A and B can be either a general unreduced matrix or an upper Hessenberg form or a (quasi-) upper triangular factor. In the latter case QA and QB provide the Schur-vectors of the matrices A and B.
- Remarks
This function is a wrapper for sla_gesylv.
- See also
dla_gesylv
- Parameters
FACTA
FACTA is String Specifies how the matrix A is given. == 'N': The matrix A is given as a general matrix and its Schur decomposition A = QA*S*QA**T will be computed. == 'F': The matrix A is given as its Schur decomposition in terms of S and QA form A = QA*S*QA**T == 'H': The matrix A is given in upper Hessenberg form and its Schur decomposition A = QA*S*QA**T will be computed
FACTB
FACTB is String Specifies how the matrix B is given. == 'N': The matrix B is given as a general matrix and its Schur decomposition B = QB*R*QB**T will be computed. == 'F': The matrix B is given as its Schur decomposition in terms of R and QB form B = QB*R*QB**T == 'H': The matrix B is given in upper Hessenberg form and its Schur decomposition B = QB*R*QB**T will be computed
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between the two parts of the Sylvester equation. = 1 : Solve Equation (1) == -1: Solve Equation (2)
M
M is INTEGER The order of the matrices A and C. M >= 0.
N
N is INTEGER The order of the matrices B and D. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix A is a general matrix and it is overwritten with its schur decomposition S. If FACTA == 'F', the matrix A contains its (quasi-) upper triangular matrix S being the Schur decomposition of A. If FACTA == 'H', the matrix A is an upper Hessenberg matrix and it is overwritten with its schur decomposition S.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) If FACTB == 'N', the matrix B is a general matrix and it is overwritten with its schur decomposition R. If FACTB == 'F', the matrix B contains its (quasi-) upper triangular matrix R being the Schur decomposition of B. If FACTB == 'H', the matrix B is an upper Hessenberg matrix and it is overwritten with its schur decomposition R.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
QA
QA is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output. If FACTA == 'F', the matrix QA contains the Schur vectors of A. If FACTA == 'H', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output.
LDQA
LDQA is INTEGER The leading dimension of the array QA. LDQA >= max(1,M).
QB
QB is DOUBLE PRECISION array, dimension (LDA,M) If FACTB == 'N', the matrix QB is an empty M-by-M matrix on input and contains the Schur vectors of B on output. If FACTB == 'F', the matrix QB contains the Schur vectors of B. If FACTB == 'H', the matrix QB is an empty M-by-M matrix on input and contains the Schur vectors of B on output.
LDQB
LDQB is INTEGER The leading dimension of the array QB. LDQB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the matrix X contains the right hand side Y. On output, the matrix X contains the solution of Equation (1) or (2) Right hand side Y and the solution X are symmetric M-by-M matrices.
LDX
LDX is INTEGER The leading dimension of the array X. LDB >= max(1,M).
SCALE
SCALE is DOUBLE PRECISION SCALE is a scaling factor to prevent the overflow in the result. If INFO == 0 then SCALE is 1.0D0 otherwise if one of the inner systems could not be solved correctly, 0 < SCALE <= 1 holds true.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm. The optimal workspace is given either by \ref mepack_memory_frontend.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm counted in floating point numbers of the actual precision. The C interface does not support the workspace query by setting LDWORK == -1 on input. In this case, the \ref mepack_memory_frontend function have to be used.
INFO
INFO is INTEGER == 0: successful exit = 1: DHGEES failed = 2: DLA_SORT_EV failed = 3: DLA_TRLYAP_DAG failed < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 468 of file gesylv.c.
void mepack_single_gesylv2 (const char * FACTA, const char * FACTB, const char * TRANSA, const char * TRANSB, float SGN, int M, int N, float * A, int LDA, float * B, int LDB, float * QA, int LDQA, float * QB, int LDQB, float * X, int LDX, float * SCALE, float * WORK, size_t LDWORK, int * INFO)
Frontend for the solution of Standard Sylvester Equations.
Purpose:
mepack_single_gesylv2 solves a Sylvester equation of the following forms op1(A) * X * op2(B) + X = SCALE * Y (1) or op1(A) * X * op2(B) - X = SCALE * Y (2) where A is a M-by-M matrix and B is a N-by-N matrix. The right hand side Y and the solution X are M-by-N matrices. The matrices A and B can be either a general unreduced matrix or an upper Hessenberg form or a (quasi-) upper triangular factor. In the latter case QA and QB provide the Schur-vectors of the matrices A and B.
- Remarks
This function is a wrapper for sla_gesylv2.
- See also
dla_gesylv2
- Parameters
FACTA
FACTA is String Specifies how the matrix A is given. == 'N': The matrix A is given as a general matrix and its Schur decomposition A = QA*S*QA**T will be computed. == 'F': The matrix A is given as its Schur decomposition in terms of S and QA form A = QA*S*QA**T == 'H': The matrix A is given in upper Hessenberg form and its Schur decomposition A = QA*S*QA**T will be computed
FACTB
FACTB is String Specifies how the matrix B is given. == 'N': The matrix B is given as a general matrix and its Schur decomposition B = QB*R*QB**T will be computed. == 'F': The matrix B is given as its Schur decomposition in terms of R and QB form B = QB*R*QB**T == 'H': The matrix B is given in upper Hessenberg form and its Schur decomposition B = QB*R*QB**T will be computed
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
SGN
SGN is DOUBLE PRECISION, allowed values: +/-1 Specifies the sign between the two parts of the Sylvester equation. = 1 : Solve Equation (1) == -1: Solve Equation (2)
M
M is INTEGER The order of the matrices A and C. M >= 0.
N
N is INTEGER The order of the matrices B and D. N >= 0.
A
A is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix A is a general matrix and it is overwritten with its schur decomposition S. If FACTA == 'F', the matrix A contains its (quasi-) upper triangular matrix S being the Schur decomposition of A. If FACTA == 'H', the matrix A is an upper Hessenberg matrix and it is overwritten with its schur decomposition S.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is DOUBLE PRECISION array, dimension (LDB,N) If FACTB == 'N', the matrix B is a general matrix and it is overwritten with its schur decomposition R. If FACTB == 'F', the matrix B contains its (quasi-) upper triangular matrix R being the Schur decomposition of B. If FACTB == 'H', the matrix B is an upper Hessenberg matrix and it is overwritten with its schur decomposition R.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
QA
QA is DOUBLE PRECISION array, dimension (LDA,M) If FACTA == 'N', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output. If FACTA == 'F', the matrix QA contains the Schur vectors of A. If FACTA == 'H', the matrix QA is an empty M-by-M matrix on input and contains the Schur vectors of A on output.
LDQA
LDQA is INTEGER The leading dimension of the array QA. LDQA >= max(1,M).
QB
QB is DOUBLE PRECISION array, dimension (LDA,M) If FACTB == 'N', the matrix QB is an empty M-by-M matrix on input and contains the Schur vectors of B on output. If FACTB == 'F', the matrix QB contains the Schur vectors of B. If FACTB == 'H', the matrix QB is an empty M-by-M matrix on input and contains the Schur vectors of B on output.
LDQB
LDQB is INTEGER The leading dimension of the array QB. LDQB >= max(1,N).
X
X is DOUBLE PRECISION array, dimension (LDX,N) On input, the matrix X contains the right hand side Y. On output, the matrix X contains the solution of Equation (1) or (2) Right hand side Y and the solution X are symmetric M-by-M matrices.
LDX
LDX is INTEGER The leading dimension of the array X. LDB >= max(1,M).
SCALE
SCALE is DOUBLE PRECISION SCALE is a scaling factor to prevent the overflow in the result. If INFO == 0 then SCALE is 1.0D0 otherwise if one of the inner systems could not be solved correctly, 0 < SCALE <= 1 holds true.
WORK
WORK is DOUBLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm. The optimal workspace is given either by \ref mepack_memory_frontend.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm counted in floating point numbers of the actual precision. The C interface does not support the workspace query by setting LDWORK == -1 on input. In this case, the \ref mepack_memory_frontend function have to be used.
INFO
INFO is INTEGER == 0: successful exit = 1: DHGEES failed = 2: DLA_SORT_EV failed = 3: DLA_TRLYAP_DAG failed < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 469 of file gesylv2.c.
void mepack_single_gesylv2_refine (const char * TRANSA, const char * TRANSB, const char * GUESS, float SGN, int M, int N, float * A, int LDA, float * B, int LDB, float * X, int LDX, float * Y, int LDY, float * AS, int LDAS, float * BS, int LDBS, float * Q, int LDQ, float * U, int LDU, int * MAXIT, float * TAU, float * CONVLOG, float * WORK, size_t LDWORK, int * INFO)
Iterative Refinement for the standard Sylvester Equations.
Purpose:
mepack_single_gesylv2_refine solves a Sylvester equation of the following forms op1(A) * X * op2(B) + X = Y (1) or op1(A) * X * op2(B) - X = Y (2) where A is a M-by-M matrix and B is a N-by-N matrix using iterative refinement. The right hand side Y and the solution X are M-by-N matrices. The matrix A and B need to be given in the original form as well as in their Schur decomposition since both are required in the iterative refinement procedure.
- Remarks
This function is a wrapper for sla_gesylv2_refine
- See also
sla_gesylv2_refine
- Parameters
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
GUESS
GUESS is String Specifies whether X contains an initial guess on input or not. = 'I': X contains an initial guess for the solution == 'N': No initial guess is provided. X is set to zero.
SGN
SGN is SINGLE PRECISION, allowed values: +/-1 Specifies the sign between both terms.
M
M is INTEGER The order of the matrix A. M >= 0.
N
N is INTEGER The order of the matrix B. N >= 0.
A
A is SINGLE PRECISION array, dimension (LDA,M) The array A contains the original matrix A defining the equation.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is SINGLE PRECISION array, dimension (LDB,N) The array B contains the original matrix B defining the equation.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
X
X is SINGLE PRECISION array, dimension (LDX,M) On input, the array X contains the initial guess. On output, the array X contains the solution X.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
Y
Y is SINGLE PRECISION array, dimension (LDY,M) On input, the array Y contains the right hand side.
LDY
LDY is INTEGER The leading dimension of the array Y. LDY >= max(1,M).
AS
AS is SINGLE PRECISION array, dimension (LDAS,M) The array AS contains the Schur decomposition of the A.
LDAS
LDAS is INTEGER The leading dimension of the array AS. LDAS >= max(1,M).
BS
BS is SINGLE PRECISION array, dimension (LDBS,N) The array AS contains the Schur decomposition of B.
LDBS
LDBS is INTEGER The leading dimension of the array BS. LDBS >= max(1,N).
Q
Q is SINGLE PRECISION array, dimension (LDQ,M) The array Q contains the Schur vectors of A as returned by DGEES.
LDQ
LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,M).
U
U is SINGLE PRECISION array, dimension (LDU,N) The array U contains the Schur vectors of B as returned by DGEES.
LDU
LDU is INTEGER The leading dimension of the array U. LDU >= max(1,N).
MAXIT
MAXIT is INTEGER On input, MAXIT contains the maximum number of iteration that are performed, MAXIT <= 100 On exit, MAXIT contains the number of iteration steps taken by the algorithm.
TAU
TAU is SINGLE PRECISION On input, TAU contains the additional security factor for the stopping criterion, typical values are 0.1 On exit, TAU contains the last relative residual when the stopping criterion got valid.
CONVLOG
CONVLOG is SINGLE PRECISION array, dimension (MAXIT) The CONVLOG array contains the convergence history of the iterative refinement. CONVLOG(I) contains the maximum relative residual before it is solved for the I-Th time.
WORK
WORK is SINGLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm. This can be determined by a call \ref mepack_memory_frontend.
INFO
INFO is INTEGER == 0: Success > 0: Iteration failed in step INFO < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 496 of file gesylv2.c.
void mepack_single_gesylv_refine (const char * TRANSA, const char * TRANSB, const char * GUESS, float SGN, int M, int N, float * A, int LDA, float * B, int LDB, float * X, int LDX, float * Y, int LDY, float * AS, int LDAS, float * BS, int LDBS, float * Q, int LDQ, float * U, int LDU, int * MAXIT, float * TAU, float * CONVLOG, float * WORK, size_t LDWORK, int * INFO)
Iterative Refinement for the standard Sylvester Equations.
Purpose:
mepack_single_gesylv_refine solves a Sylvester equation of the following forms op1(A) * X + X * op2(B) = Y (1) or op1(A) * X - X * op2(B) = Y (2) where A is a M-by-M matrix and B is a N-by-N matrix using iterative refinement. The right hand side Y and the solution X are M-by-N matrices. The matrix A and B need to be given in the original form as well as in their Schur decomposition since both are required in the iterative refinement procedure.
- Remarks
This function is a wrapper for sla_gesylv_refine
- See also
sla_gesylv_refine
- Parameters
TRANSA
TRANSA is String Specifies the form of the system of equations with respect to A: == 'N': op1(A) = A == 'T': op1(A) = A**T
TRANSB
TRANSB is String Specifies the form of the system of equations with respect to B: == 'N': op2(B) = B, == 'T': op2(B) = B**T
GUESS
GUESS is String Specifies whether X contains an initial guess on input or not. = 'I': X contains an initial guess for the solution == 'N': No initial guess is provided. X is set to zero.
SGN
SGN is SINGLE PRECISION, allowed values: +/-1 Specifies the sign between both terms.
M
M is INTEGER The order of the matrix A. M >= 0.
N
N is INTEGER The order of the matrix B. N >= 0.
A
A is SINGLE PRECISION array, dimension (LDA,M) The array A contains the original matrix A defining the equation.
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
B
B is SINGLE PRECISION array, dimension (LDB,N) The array B contains the original matrix B defining the equation.
LDB
LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N).
X
X is SINGLE PRECISION array, dimension (LDX,M) On input, the array X contains the initial guess. On output, the array X contains the solution X.
LDX
LDX is INTEGER The leading dimension of the array X. LDX >= max(1,M).
Y
Y is SINGLE PRECISION array, dimension (LDY,M) On input, the array Y contains the right hand side.
LDY
LDY is INTEGER The leading dimension of the array Y. LDY >= max(1,M).
AS
AS is SINGLE PRECISION array, dimension (LDAS,M) The array AS contains the Schur decomposition of the A.
LDAS
LDAS is INTEGER The leading dimension of the array AS. LDAS >= max(1,M).
BS
BS is SINGLE PRECISION array, dimension (LDBS,N) The array AS contains the Schur decomposition of B.
LDBS
LDBS is INTEGER The leading dimension of the array BS. LDBS >= max(1,N).
Q
Q is SINGLE PRECISION array, dimension (LDQ,M) The array Q contains the Schur vectors of A as returned by DGEES.
LDQ
LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,M).
U
U is SINGLE PRECISION array, dimension (LDU,N) The array U contains the Schur vectors of B as returned by DGEES.
LDU
LDU is INTEGER The leading dimension of the array U. LDU >= max(1,N).
MAXIT
MAXIT is INTEGER On input, MAXIT contains the maximum number of iteration that are performed, MAXIT <= 100 On exit, MAXIT contains the number of iteration steps taken by the algorithm.
TAU
TAU is SINGLE PRECISION On input, TAU contains the additional security factor for the stopping criterion, typical values are 0.1 On exit, TAU contains the last relative residual when the stopping criterion got valid.
CONVLOG
CONVLOG is SINGLE PRECISION array, dimension (MAXIT) The CONVLOG array contains the convergence history of the iterative refinement. CONVLOG(I) contains the maximum relative residual before it is solved for the I-Th time.
WORK
WORK is SINGLE PRECISION array, dimension (MAX(1,LDWORK)) Workspace for the algorithm.
LDWORK
LDWORK is INTEGER Size of the workspace for the algorithm. This can be determined by a call \ref mepack_memory_frontend.
INFO
INFO is INTEGER == 0: Success > 0: Iteration failed in step INFO < 0: if INFO == -i, the i-Th argument had an illegal value
- Attention
The Fortran/LAPACK-like workspace query with setting LDWORK=-1 on input will not work in the C interface. One have to use the mepack_memory_frontend function for this purpose.
- Author
Martin Koehler, MPI Magdeburg
- Date
January 2024
Definition at line 498 of file gesylv.c.
Author
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