/home/abui...RC/cppsv.f(3)
π /home/abui...RC/cppsv.f(3) β Library Functions Manual π
okay bestie, welcome to CPPSV π this page is from the Library Functions Manual, and itβs all about a very specific little LAPACK workhorse. no cap, the facts are all here β just with way more sparkle β¨
π¦ NAME π¦
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/cppsv.f
β¨ SYNOPSIS β¨
π«Ά Functions/Subroutines π«Ά
subroutine CPPSV (uplo, n, nrhs, ap, b, ldb, info)βCPPSVcomputes the solution to system of linear equationsA * X = Bfor OTHER matrices
subroutine CPPSV (uplo, n, nrhs, ap, b, ldb, info)
CPPSV computes the solution to system of linear equations A * X = B
for OTHER matrices
π§ Function/Subroutine Documentation π§
subroutine CPPSV (character uplo, integer n, integer nrhs, complex,
dimension( * ) ap, complex, dimension( ldb, * ) b, integer ldb, integer
info)
CPPSV computes the solution to system of linear equations A * X = B for OTHER matrices. periodt π
π Purpose π
okay so hereβs the main-character energy: CPPSV computes the solution to a complex system of linear equations
A * X = B,
where A is an N-by-N Hermitian positive definite matrix stored in packed format and X and B are N-by-NRHS matrices. slay π«Ά
The Cholesky decomposition is used to factor A as
A = U**H * U, if UPLO = 'U', or
A = L * L**H, 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. iconic π₯
π Parameters π
UPLOβUPLOisCHARACTER*1= 'U':Upper triangle ofAis stored;= 'L':Lower triangle ofAis stored.
NβNisINTEGER- The number of linear equations, i.e., the order of the matrix
A.N >= 0.
- The number of linear equations, i.e., the order of the matrix
NRHSβNRHSisINTEGER- The number of right hand sides, i.e., the number of columns of the matrix
B.NRHS >= 0.
- The number of right hand sides, i.e., the number of columns of the matrix
APβAPisCOMPLEXarray, dimension(N*(N+1)/2)- On entry, the upper or lower triangle of the Hermitian matrix
A, packed columnwise in a linear array. Thej-th column ofAis stored in the arrayAPas follows:- if
UPLO = 'U',AP(i + (j-1)*j/2) = A(i,j)for1<=i<=j; - if
UPLO = 'L',AP(i + (j-1)*(2n-j)/2) = A(i,j)forj<=i<=n.
- if
- See below for further details.
- On exit, if
INFO = 0, the factorUorLfrom the Cholesky factorizationA = U**H*UorA = L*L**H, in the same storage format asA.
- On entry, the upper or lower triangle of the Hermitian matrix
BβBisCOMPLEXarray, dimension(LDB,NRHS)- On entry, the
N-by-NRHSright hand side matrixB. - On exit, if
INFO = 0, theN-by-NRHSsolution matrixX.
- On entry, the
LDBβLDBisINTEGER- The leading dimension of the array
B.LDB >= max(1,N).
- The leading dimension of the array
INFOβINFOisINTEGER= 0:successful exit< 0:ifINFO = -i, thei-th argument had an illegal value> 0:ifINFO = i, the leading principal minor of orderiofAis not positive, so the factorization could not be completed, and the solution has not been computed.
bestie, that INFO > 0 case is the βit did not work, do not trust the solutionβ vibe π the factorization could not be completed, and the solution has not been computed. no cap.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ Further Details π¦
The packed storage scheme is illustrated by the following example when N = 4, UPLO = 'U':
Two-dimensional storage of the Hermitian matrix A:
a11 a12 a13 a14
a22 a23 a24
a33 a34 (aij = conjg(aji))
a44
Packed storage of the upper triangle of A:
AP = [ a11, a12, a22, a13, a23, a33, a14, a24, a34, a44 ]
Definition at line 143 of file cppsv.f.
π Author π
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