SLAQP2(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… SLAQP2(3) πŸ’…

okay bestie, this is the Library Functions Manual entry for SLAQP2(3) β€” and no cap, it's a Fortran subroutine that computes a QR factorization with column pivoting of a matrix block. Let's get into it. 🫢

✨ NAME ✨

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/slaqp2.f

🌸 SYNOPSIS 🌸

Functions/Subroutines

  • subroutine SLAQP2 (m, n, offset, a, lda, jpvt, tau, vn1, vn2, work) β€” SLAQP2 computes a QR factorization with column pivoting of the matrix block.

πŸ¦‹ Function/Subroutine Documentation πŸ¦‹

Here's the whole signature, exactly as the page gives it:

   subroutine SLAQP2 (integer m, integer n, integer offset, real, dimension(
       lda, * ) a, integer lda, integer, dimension( * ) jpvt, real, dimension(
       * ) tau, real, dimension( * ) vn1, real, dimension( * ) vn2, real,
       dimension( * ) work)

SLAQP2 computes a QR factorization with column pivoting of the matrix block.

πŸ’‘ Purpose

SLAQP2 computes a QR factorization with column pivoting of the block A(OFFSET+1:M,1:N). The block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

πŸŽ€ Parameters

  • M β€” M is INTEGER. The number of rows of the matrix A. M >= 0.
  • N β€” N is INTEGER. The number of columns of the matrix A. N >= 0.
  • OFFSET β€” OFFSET is INTEGER. The number of rows of the matrix A that must be pivoted but not factorized. OFFSET >= 0.
  • A β€” A is REAL array, dimension (LDA,N). On entry, the M-by-N matrix A. On exit, the upper triangle of block A(OFFSET+1:M,1:N) is the triangular factor obtained; the elements in block A(OFFSET+1:M,1:N) below the diagonal, together with the array TAU, represent the orthogonal matrix Q as a product of elementary reflectors. Block A(1:OFFSET,1:N) has been accordingly pivoted, but not factorized.
  • LDA β€” LDA is INTEGER. The leading dimension of the array A. LDA >= max(1,M).
  • JPVT β€” JPVT is INTEGER array, dimension (N). On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted to the front of A*P (a leading column); if JPVT(i) = 0, the i-th column of A is a free column. On exit, if JPVT(i) = k, then the i-th column of A*P was the k-th column of A.
  • TAU β€” TAU is REAL array, dimension (min(M,N)). The scalar factors of the elementary reflectors.
  • VN1 β€” VN1 is REAL array, dimension (N). The vector with the partial column norms.
  • VN2 β€” VN2 is REAL array, dimension (N). The vector with the exact column norms.
  • WORK β€” WORK is REAL array, dimension (N).

πŸ‘‘ Author πŸ‘‘

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

🌈 Contributors 🌈

  • G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
  • X. Sun, Computer Science Dept., Duke University, USA
  • Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

πŸ’œ References πŸ’œ

LAPACK Working Note 176

Definition at line 147 of file slaqp2.f.

🧚 Author 🧚

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bye bestie! this lil page is from the LAPACK Version 3.12.0 manual, and its footer path is /home/abui...RC/slaqp2.f(3). mwah πŸ’–

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