hesv_aa(3)
πΈ hesv_aa(3) β Library Functions Manual πΈ
β¨ NAME β¨
hesv_aa β {he,sy}sv_aa: Aasen
π SYNOPSIS π
Functions
subroutine chesv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βCHESV_AA computes the solution to system of linear equations A * X = B for HE matricessubroutine csysv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βCSYSV_AA computes the solution to system of linear equations A * X = B for SY matricessubroutine dsysv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βDSYSV_AA computes the solution to system of linear equations A * X = B for SY matricessubroutine ssysv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βSSYSV_AA computes the solution to system of linear equations A * X = B for SY matricessubroutine zhesv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βZHESV_AA computes the solution to system of linear equations A * X = B for HE matricessubroutine zsysv_aa (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork, info)βZSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices
π Detailed Description π
π Function Documentation π
π
chesv_aa
subroutine chesv_aa (character uplo, integer n, integer nrhs, complex, dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv, complex, dimension( ldb, * ) b, integer ldb, complex, dimension( * ) work, integer lwork, integer info)
CHESV_AA computes the solution to system of linear equations A * X = B for HE matrices
π Purpose π
okay bestie, so CHESV_AA computes the solution to a complex system of linear equations
A * X = B,
where A is an N-by-N Hermitian matrix and X and B are N-by-NRHS matrices.
Aasen's algorithm is the moment here: it factors A as
A = U**H * T * U, if UPLO = 'U', or
A = L * T * L**H, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is Hermitian and tridiagonal. Then the factored form of A is used to solve the system of equations A * X = B. periodt.
π§Έ Parameters π§Έ
UPLO β UPLO is CHARACTER*1. = 'U': Upper triangle of A is stored; = 'L': Lower triangle of A is stored.
N β N is INTEGER. The number of linear equations, i.e., the order of the matrix A. N >= 0.
NRHS β NRHS is INTEGER. The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.
A β A is COMPLEX array, dimension (LDA,N). On entry, the Hermitian 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 tridiagonal matrix T and the multipliers used to obtain the factor U or L from the factorization A = U**H*T*U or A = L*T*L**H as computed by CHETRF_AA.
LDA β LDA is INTEGER. The leading dimension of the array A. LDA >= max(1,N).
IPIV β IPIV is INTEGER array, dimension (N). On exit, it contains the details of the interchanges, i.e., the row and column k of A were interchanged with the row and column IPIV(k).
B β B is COMPLEX array, dimension (LDB,NRHS). On entry, the N-by-NRHS right hand side matrix B. On exit, if INFO = 0, the N-by-NRHS solution matrix X.
LDB β LDB is INTEGER. The leading dimension of the array B. LDB >= max(1,N).
WORK β WORK is COMPLEX array, dimension (MAX(1,LWORK)). On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK β LWORK is INTEGER. The length of WORK. LWORK >= MAX(1,2*N,3*N-2), and for best performance LWORK >= MAX(1,N*NB), where NB is the optimal blocksize for CHETRF.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
INFO β INFO is INTEGER. = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value. > 0: if INFO = i, D(i,i) is exactly zero. The factorization has been completed, but the block diagonal matrix D is exactly singular, so the solution could not be computed.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 160 of file chesv_aa.f.
π¦ csysv_aa
subroutine csysv_aa (character uplo, integer n, integer nrhs, complex, dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv, complex, dimension( ldb, * ) b, integer ldb, complex, dimension( * ) work, integer lwork, integer info)
CSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices
π Purpose π
The Purpose block says CSYSV computes the solution to a complex system of linear equations
A * X = B,
where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices.
Aasen's algorithm is used to factor A as
A = U**T * T * U, if UPLO = 'U', or
A = L * T * L**T, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is symmetric tridiagonal. The factored form of A is then used to solve the system of equations A * X = B.
π§Έ Parameters π§Έ
UPLO β UPLO is CHARACTER*1. = 'U': Upper triangle of A is stored; = 'L': Lower triangle of A is stored.
N β N is INTEGER. The number of linear equations, i.e., the order of the matrix A. N >= 0.
NRHS β NRHS is INTEGER. The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.
A β A is COMPLEX array, dimension (LDA,N). 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 tridiagonal matrix T and the multipliers used to obtain the factor U or L from the factorization A = U**T*T*U or A = L*T*L**T as computed by CSYTRF.
LDA β LDA is INTEGER. The leading dimension of the array A. LDA >= max(1,N).
IPIV β IPIV is INTEGER array, dimension (N). On exit, it contains the details of the interchanges, i.e., the row and column k of A were interchanged with the row and column IPIV(k).
B β B is COMPLEX array, dimension (LDB,NRHS). On entry, the N-by-NRHS right hand side matrix B. On exit, if INFO = 0, the N-by-NRHS solution matrix X.
LDB β LDB is INTEGER. The leading dimension of the array B. LDB >= max(1,N).
WORK β WORK is COMPLEX array, dimension (MAX(1,LWORK)). On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK β LWORK is INTEGER. The length of WORK. LWORK >= MAX(2*N, 3*N-2), and for the best performance, LWORK >= max(1,N*NB), where NB is the optimal blocksize for CSYTRF_AA.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
INFO β INFO is INTEGER. = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value. > 0: if INFO = i, D(i,i) is exactly zero. The factorization has been completed, but the block diagonal matrix D is exactly singular, so the solution could not be computed.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 160 of file csysv_aa.f.
π dsysv_aa
subroutine dsysv_aa (character uplo, integer n, integer nrhs, double precision, dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv, double precision, dimension( ldb, * ) b, integer ldb, double precision, dimension( * ) work, integer lwork, integer info)
DSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices
β¨ Purpose β¨
like okay so picture this: DSYSV pulls up to the function and it's literally computing the solution to a real system of linear equations π
A * X = B,
where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices. iconic behavior, no notes.
Aasen's algorithm is the main character here, and it factors A as
A = U**T * T * U, if UPLO = 'U', or
A = L * T * L**T, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is symmetric tridiagonal. then the factored form of A gets used to solve the system of equations A * X = B. she does the work so you don't have to π«Ά
π Parameters
UPLOβCHARACTER*1, aka the vibe check for which triangle we're storing.= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
NβINTEGER. The number of linear equations, i.e., the order of the matrixA.N >= 0. (zero is allowed, bestie, it's not a problem.)NRHSβINTEGER. The number of right hand sides, i.e., the number of columns of the matrixB.NRHS >= 0.AβDOUBLE PRECISIONarray, dimension(LDA,N). On entry, the symmetric matrixA. IfUPLO = 'U', the leading N-by-N upper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leading N-by-N lower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced. (like, don't even look at the other triangle, she's not invited π«) On exit, ifINFO = 0, the tridiagonal matrixTand the multipliers used to obtain the factorUorLfrom the factorizationA = U**T*T*UorA = L*T*L**Tas computed byDSYTRF.LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1,N).IPIVβINTEGERarray, dimension(N). On exit, it contains the details of the interchanges, i.e., the row and columnkofAwere interchanged with the row and columnIPIV(k). it's giving receipts of every swap πBβDOUBLE PRECISIONarray, dimension(LDB,NRHS). On entry, the N-by-NRHS right hand side matrixB. On exit, ifINFO = 0, the N-by-NRHS solution matrixX. glow-up of the century β¨LDBβINTEGER. The leading dimension of the arrayB.LDB >= max(1,N).WORKβDOUBLE PRECISIONarray, dimension(MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβINTEGER. The length ofWORK.LWORK >= MAX(1,2*N,3*N-2), and for the best performance,LWORK >= MAX(1,N*NB), whereNBis the optimal blocksize forDSYTRF_AA.
IfLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA. it's the "just asking, not committing" ofLWORKvalues π
INFOβINTEGER. The report card:= 0: successful exit π< 0: ifINFO = -i, the i-th argument had an illegal value> 0: ifINFO = i,D(i,i)is exactly zero. The factorization has been completed, but the block diagonal matrixDis exactly singular, so the solution could not be computed. π so close yet so singular.
π· Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 160 of file dsysv_aa.f.
π ssysv_aa β¨
the signature, verbatim, because she's precise like that:
subroutine ssysv_aa (character uplo, integer n, integer nrhs, real,
dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv, real,
dimension( ldb, * ) b, integer ldb, real, dimension( * ) work, integer
lwork, integer info)
SSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices. same energy, but make it single precision π
β¨ Purpose
okay so SSYSV computes the solution to a real system of linear equations
A * X = B,
where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices.
Aasen's algorithm is used to factor A as
A = U**T * T * U, if UPLO = 'U', or
A = L * T * L**T, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is symmetric tridiagonal. The factored form of A is then used to solve the system of equations A * X = B. literally the same routine family, matching outfits π
π Parameters
UPLOβCHARACTER*1= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
NβINTEGER. The number of linear equations, i.e., the order of the matrixA.N >= 0.NRHSβINTEGER. The number of right hand sides, i.e., the number of columns of the matrixB.NRHS >= 0.AβREALarray, dimension(LDA,N). On entry, the symmetric matrixA. IfUPLO = 'U', the leading N-by-N upper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leading N-by-N lower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced. On exit, ifINFO = 0, the tridiagonal matrixTand the multipliers used to obtain the factorUorLfrom the factorizationA = U**T*T*UorA = L*T*L**Tas computed bySSYTRF.LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1,N).IPIVβINTEGERarray, dimension(N). On exit, it contains the details of the interchanges, i.e., the row and columnkofAwere interchanged with the row and columnIPIV(k).BβREALarray, dimension(LDB,NRHS). On entry, the N-by-NRHS right hand side matrixB. On exit, ifINFO = 0, the N-by-NRHS solution matrixX.LDBβINTEGER. The leading dimension of the arrayB.LDB >= max(1,N).WORKβREALarray, dimension(MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβINTEGER. The length ofWORK.LWORK >= MAX(1,2*N,3*N-2), and for the best performance,LWORK >= MAX(1,N*NB), whereNBis the optimal blocksize forSSYTRF_AA.
IfLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA.
INFOβINTEGER= 0: successful exit< 0: ifINFO = -i, the i-th argument had an illegal value> 0: ifINFO = i,D(i,i)is exactly zero. The factorization has been completed, but the block diagonal matrixDis exactly singular, so the solution could not be computed.
π· Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 160 of file ssysv_aa.f.
π¦ zhesv_aa π
signature, character for character:
subroutine zhesv_aa (character uplo, integer n, integer nrhs, complex*16,
dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv,
complex*16, dimension( ldb, * ) b, integer ldb, complex*16, dimension( *
) work, integer lwork, integer info)
ZHESV_AA computes the solution to system of linear equations A * X = B for HE matrices. complex numbers, Hermitian, and honestly? kinda iconic π
β¨ Purpose
ZHESV_AA computes the solution to a complex system of linear equations
A * X = B,
where A is an N-by-N Hermitian matrix and X and B are N-by-NRHS matrices.
Aasen's algorithm is used to factor A as
A = U**H * T * U, if UPLO = 'U', or
A = L * T * L**H, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is Hermitian and tridiagonal. The factored form of A is then used to solve the system of equations A * X = B. note the **H, bestie β conjugate transpose, not **T, she's fancy β¨
π Parameters
UPLOβCHARACTER*1= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
NβINTEGER. The number of linear equations, i.e., the order of the matrixA.N >= 0.NRHSβINTEGER. The number of right hand sides, i.e., the number of columns of the matrixB.NRHS >= 0.AβCOMPLEX*16array, dimension(LDA,N). On entry, the Hermitian matrixA. IfUPLO = 'U', the leading N-by-N upper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leading N-by-N lower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced. On exit, ifINFO = 0, the tridiagonal matrixTand the multipliers used to obtain the factorUorLfrom the factorizationA = U**H*T*UorA = L*T*L**Has computed byZHETRF_AA.LDAβLDAis INTEGER. The leading dimension of the arrayA.LDA >= max(1,N).IPIVβIPIVis INTEGER array, dimension (N). On exit, it contains the details of the interchanges, i.e., the row and columnkofAwere interchanged with the row and columnIPIV(k).BβBis COMPLEX*16 array, dimension (LDB,NRHS). On entry, theN-by-NRHSright hand side matrixB. On exit, ifINFO = 0, theN-by-NRHSsolution matrixX.LDBβLDBis INTEGER. The leading dimension of the arrayB.LDB >= max(1,N).WORKβWORKis COMPLEX*16 array, dimension (MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβLWORKis INTEGER. The length ofWORK.LWORK >= MAX(1,2*N,3*N-2), and for best performanceLWORK >= max(1,N*NB), whereNBis the optimal blocksize forZHETRF_AA.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
INFOβINFOis INTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.> 0: ifINFO = i,D(i,i)is exactly zero. The factorization has been completed, but the block diagonal matrixDis exactly singular, so the solution could not be computed.
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 160 of file zhesv_aa.f.
π¦ subroutine zsysv_aa
subroutine zsysv_aa (character uplo, integer n, integer nrhs, complex*16,
dimension( lda, * ) a, integer lda, integer, dimension( * ) ipiv,
complex*16, dimension( ldb, * ) b, integer ldb, complex*16, dimension( *
) work, integer lwork, integer info)
ZSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices.
β¨ Purpose β¨
ZSYSV computes the solution to a complex system of linear equations
A * X = B,
where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices.
Aasen's algorithm is used to factor A as
A = U**T * T * U, if UPLO = 'U', or
A = L * T * L**T, if UPLO = 'L',
where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and T is symmetric tridiagonal. The factored form of A is then used to solve the system of equations A * X = B.
π Parameters π
UPLOβUPLOis CHARACTER*1.= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.NβNis INTEGER. The number of linear equations, i.e., the order of the matrixA.N >= 0.NRHSβNRHSis INTEGER. The number of right hand sides, i.e., the number of columns of the matrixB.NRHS >= 0.AβAis COMPLEX*16 array, dimension (LDA,N). On entry, the symmetric matrixA. IfUPLO = 'U', the leadingN-by-Nupper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leadingN-by-Nlower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced.
On exit, if INFO = 0, the tridiagonal matrix T and the multipliers used to obtain the factor U or L from the factorization A = U**T*T*U or A = L*T*L**T as computed by ZSYTRF.
LDAβLDAis INTEGER. The leading dimension of the arrayA.LDA >= max(1,N).IPIVβIPIVis INTEGER array, dimension (N). On exit, it contains the details of the interchanges, i.e., the row and columnkofAwere interchanged with the row and columnIPIV(k).BβBis COMPLEX*16 array, dimension (LDB,NRHS). On entry, theN-by-NRHSright hand side matrixB. On exit, ifINFO = 0, theN-by-NRHSsolution matrixX.LDBβLDBis INTEGER. The leading dimension of the arrayB.LDB >= max(1,N).WORKβWORKis COMPLEX*16 array, dimension (MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβLWORKis INTEGER. The length ofWORK.LWORK >= MAX(1,2*N,3*N-2), and for the best performance,LWORK >= MAX(1,N*NB), whereNBis the optimal blocksize forZSYTRF_AA.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
INFOβINFOis INTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.> 0: ifINFO = i,D(i,i)is exactly zero. The factorization has been completed, but the block diagonal matrixDis exactly singular, so the solution could not be computed.
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 160 of file zsysv_aa.f.
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