SRC/chetrf.f(3)

✨ NAME ✨

SRC/chetrf.f β€” from the Library Functions Manual, bestie 🫢 (the page header calls it SRC/chetrf.f(3), but the NAME line itself is just SRC/chetrf.f).


πŸ¦‹ SYNOPSIS πŸ¦‹

🌸 Functions/Subroutines 🌸

subroutine chetrf (uplo, n, a, lda, ipiv, work, lwork, info)
    CHETRF

πŸ’… Function/Subroutine Documentation πŸ’…

okay so here's the full signature, no cap:

subroutine chetrf (character uplo, integer n, complex, dimension( lda, * )
a, integer lda, integer, dimension( * ) ipiv, complex, dimension( * )
work, integer lwork, integer info)
    CHETRF

✨ Purpose ✨

CHETRF computes the factorization of a complex Hermitian matrix A using the Bunch-Kaufman diagonal pivoting method. The form of the factorization is

A = U*D*U**H  or  A = L*D*L**H

where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and D is Hermitian 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. iconic behavior, honestly πŸ”₯

🌸 Parameters 🌸

bestie, here's the whole cast β€” every single one matters πŸ’…:

  • 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 order of the matrix A. N >= 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, the block diagonal matrix D and the multipliers used to obtain the factor U or L (see below for further details).
  • LDA β€” LDA is INTEGER
    • The leading dimension of the array A. LDA >= max(1,N).
  • IPIV β€” 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.
  • 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 >= 1. For best performance LWORK >= N*NB, where NB is the block size returned by ILAENV.
  • 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, and division by zero will occur if it is used to solve a system of equations.

πŸ’– Author πŸ’–

shoutout to the institutions behind this icon 🫢:

  • Univ. of Tennessee
  • Univ. of California Berkeley
  • Univ. of Colorado Denver
  • NAG Ltd.

πŸ¦‹ Further Details: πŸ¦‹

okay so if UPLO = 'U', then

A = U*D*U**H, 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).

and if UPLO = 'L', then

A = L*D*L**H, 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 176 of file chetrf.f.


🌟 Author 🌟

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okay that's the whole page, bestie πŸ’– β€” it's LAPACK Version 3.12.0, for SRC/chetrf.f(3), and yes, you ate this linear algebra moment βœ¨πŸŽ€πŸ«Ά

πŸ“¦ where this page comes from