ZSYSV_AA(3)
π NAME
ok so bestie, this page is from the Library Functions Manual and it's all about /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/zsysv_aa.f β yes that's the whole path, no I'm not shortening it, it's iconic and it's giving "absolute filesystem baddie" π§β¨
tl;dr: ZSYSV_AA computes the solution to the system of linear equations A * X = B for SY matrices. periodt.
β¨ SYNOPSIS
Functions/Subroutines
subroutine ZSYSV_AA (uplo, n, nrhs, a, lda, ipiv, b, ldb, work, lwork,
info)
ZSYSV_AA computes the solution to system of linear equations A * X = B for SY matrices π
π Function/Subroutine Documentation
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 π¦
πΈ Purpose
ok so the actual Purpose block, and I'm quoting it because it's literally the whole vibe:
!>
!> 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.
!>
So like β Aasen's algorithm does the factoring, T comes out symmetric tridiagonal, and then that factored form is what actually solves A * X = B. no cap, that's the whole tea ββ¨
π¦ Parameters
π UPLO
!> UPLO is CHARACTER*1
!> = 'U': Upper triangle of A is stored;
!> = 'L': Lower triangle of A is stored.
!>
UPLO is a CHARACTER*1 and you get exactly two choices, bestie: 'U' means the upper triangle of A is the one being stored, 'L' means it's the lower triangle. choose wisely π
π N
!> N is INTEGER
!> The number of linear equations, i.e., the order of the
!> matrix A. N >= 0.
!>
N is INTEGER, the number of linear equations β literally the order of the matrix A. constraint: N >= 0. β¨
π§ NRHS
!> NRHS is INTEGER
!> The number of right hand sides, i.e., the number of columns
!> of the matrix B. NRHS >= 0.
!>
NRHS is INTEGER, the number of right hand sides, a.k.a. how many columns the matrix B has. constraint: NRHS >= 0. π«Ά
π A
!> A is COMPLEX*16 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
!> ZSYTRF.
!>
A is a COMPLEX*16 array, dimension (LDA,N), and she's doing double duty:
- On entry β the symmetric matrix A. If
UPLO = 'U', the leadingN-by-Nupper triangular part of A holds the upper triangular part of the matrix A, and the strictly lower triangular part of A is not referenced. IfUPLO = 'L', the leadingN-by-Nlower triangular part of A holds the lower triangular part of the matrix A, and the strictly upper triangular part of A is not referenced. (the unreferenced half is just vibing, leave it alone π) - On exit β if
INFO = 0, you get the tridiagonal matrix T and the multipliers used to obtain the factor U or L from the factorizationA = U**T*T*UorA = L*T*L**Tas computed byZSYTRF. slay π
β LDA
!> LDA is INTEGER
!> The leading dimension of the array A. LDA >= max(1,N).
!>
LDA is INTEGER, the leading dimension of the array A. requirement: LDA >= max(1,N). π
π₯ IPIV
!> 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).
!>
IPIV is an INTEGER array, dimension (N). On exit it's holding the details of the interchanges β meaning the row and column k of A were interchanged with the row and column IPIV(k). the receipts of who swapped with whom πβ¨
πΈ B
!> B is COMPLEX*16 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.
!>
B is a COMPLEX*16 array, dimension (LDB,NRHS). On entry she's the N-by-NRHS right hand side matrix B. On exit, if INFO = 0, she IS the N-by-NRHS solution matrix X. glow-up arc, honestly ππ
π¦ LDB
!> LDB is INTEGER
!> The leading dimension of the array B. LDB >= max(1,N).
!>
LDB is INTEGER, the leading dimension of the array B. requirement: LDB >= max(1,N). β
π WORK
!> WORK is COMPLEX*16 array, dimension (MAX(1,LWORK))
!> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
!>
WORK is a COMPLEX*16 array, dimension (MAX(1,LWORK)). On exit, if INFO = 0, WORK(1) returns the optimal LWORK β she's a workspace and a messenger π«Ά
π LWORK
!> LWORK is INTEGER
!> The length of WORK. LWORK >= MAX(1,2*N,3*N-2), and for
!> the best performance, LWORK >= MAX(1,N*NB), where NB is
!> the optimal blocksize for ZSYTRF_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.
!>
LWORK is INTEGER, the length of WORK. minimum is LWORK >= MAX(1,2*N,3*N-2), but for the best performance you want LWORK >= MAX(1,N*NB), where NB is the optimal blocksize for ZSYTRF_AA. treat yourself to the extra workspace π
π¨ and listen: 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 get this β no error message related toLWORKis issued byXERBLA. it's the one time XERBLA minds her business π
π INFO
!> 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.
!>
INFO is INTEGER and it's the vibe check at the end:
= 0β successful exit, we ate π< 0β ifINFO = -i, the i-th argument had an illegal value π> 0β ifINFO = 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
πΈ Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 160 of file zsysv_aa.f. π
π Author (the other one)
Generated automatically by Doxygen for LAPACK from the source code. π€β¨
ok that's the whole page bestie, go forth and solve symmetric systems π¦π
LAPACK β Version 3.12.0 β and the file is /home/abui.../zsysv_aa.f(3), mwah π
π¦ where this page comes from
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