SRC/csytrf.f(3)
π NAME π
okay so bestie, this page is SRC/csytrf.f, straight out of the Library Functions Manual β yes, that manual. It's the docs for the csytrf subroutine, and we're gonna get you comfy with every single parameter, because she is detailed. π
β¨ SYNOPSIS β¨
πΈ Functions/Subroutines πΈ
subroutine csytrf (uplo, n, a, lda, ipiv, work, lwork, info)
CSYTRF
π¦ Function/Subroutine Documentation π¦
subroutine csytrf (character uplo, integer n, complex, dimension( lda, * )
a, integer lda, integer, dimension( * ) ipiv, complex, dimension( * )
work, integer lwork, integer info)
CSYTRF
π Purpose π
CSYTRF computes the factorization of a complex symmetric matrix A using the Bunch-Kaufman diagonal pivoting method. The form of the factorization is:
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, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks.
This is the blocked version of the algorithm, calling Level 3 BLAS. periodt. π₯
π Parameters π
πΈ UPLO πΈ
UPLO is CHARACTER*1.
'U': the upper triangle ofAis stored.'L': the lower triangle ofAis stored.
πΈ N πΈ
N is INTEGER.
The order of the matrix A. N >= 0.
πΈ A πΈ
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, the block diagonal matrix D and the multipliers used to obtain the factor U or L (see below for further details).
πΈ LDA πΈ
LDA is INTEGER.
The leading dimension of the array A. LDA >= max(1,N).
πΈ IPIV πΈ
IPIV is INTEGER array, dimension (N).
Details of the interchanges and the block structure of D. If IPIV(k) > 0, then rows and columns k and IPIV(k) were interchanged and D(k,k) is a 1-by-1 diagonal block. If UPLO = 'U' and IPIV(k) = IPIV(k-1) < 0, then rows and columns k-1 and -IPIV(k) were interchanged and D(k-1:k,k-1:k) is a 2-by-2 diagonal block. If UPLO = 'L' and IPIV(k) = IPIV(k+1) < 0, then rows and columns k+1 and -IPIV(k) were interchanged and D(k:k+1,k:k+1) is a 2-by-2 diagonal block.
πΈ WORK πΈ
WORK is COMPLEX array, dimension (MAX(1,LWORK)).
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
πΈ LWORK πΈ
LWORK is INTEGER.
The length of WORK. LWORK >=1. For best performance LWORK >= N*NB, where NB is the block size returned by ILAENV.
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.
πΈ INFO πΈ
INFO is 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, and division by zero will occur if it is used to solve a system of equations.
bestie, that last one is not a drill π βINFO > 0meansDis exactly singular, so if you go solve equations with it, division by zero is gonna happen.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π₯ Further Details π₯
π If UPLO = 'U'
Then A = U*D*U**T, where
U = P(n)*U(n)* ... *P(k)U(k)* ...,
i.e., U is a product of terms P(k)*U(k), where k decreases from n to 1 in steps of 1 or 2, and D is a block diagonal matrix with 1-by-1 and 2-by-2 diagonal blocks D(k). P(k) is a permutation matrix as defined by IPIV(k), and U(k) is a unit upper triangular matrix, such that if the diagonal block D(k) is of order s (s = 1 or 2), then
( I v 0 ) k-s
U(k) = ( 0 I 0 ) s
( 0 0 I ) n-k
k-s s n-k
If s = 1, D(k) overwrites A(k,k), and v overwrites A(1:k-1,k).
If s = 2, the upper triangle of D(k) overwrites A(k-1,k-1), A(k-1,k), and A(k,k), and v overwrites A(1:k-2,k-1:k).
π If UPLO = 'L'
Then A = L*D*L**T, where
L = P(1)*L(1)* ... *P(k)*L(k)* ...,
i.e., L is a product of terms P(k)*L(k), where k increases from 1 to n in steps of 1 or 2, and D is a block diagonal matrix with 1-by-1 and 2-by-2 diagonal blocks D(k). P(k) is a permutation matrix as defined by IPIV(k), and L(k) is a unit lower triangular matrix, such that if the diagonal block D(k) is of order s (s = 1 or 2), then
( I 0 0 ) k-1
L(k) = ( 0 I 0 ) s
( 0 v I ) n-k-s+1
k-1 s n-k-s+1
If s = 1, D(k) overwrites A(k,k), and v overwrites A(k+1:n,k).
If s = 2, the lower triangle of D(k) overwrites A(k,k), A(k+1,k), and A(k+1,k+1), and v overwrites A(k+2:n,k:k+1).
Definition at line 181 of file csytrf.f.
π§ Author π§
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