DGEEQU(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… dgeequ.f(3) β€” Library Functions Manual

okay so this is the dgeequ.f(3) page from the Library Functions Manual, and we’re about to get into some matrix-equilibration business. stay with me bestie, it’s actually kinda iconic ✨

πŸŽ€ NAME

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dgeequ.f β€” that’s the file path, no cap πŸ’–

✨ SYNOPSIS

πŸ¦‹ Functions/Subroutines

  • subroutine DGEEQU (m, n, a, lda, r, c, rowcnd, colcnd, amax, info) β€” DGEEQU, our main character πŸ‘‘

🌸 Function/Subroutine Documentation

πŸ’– DGEEQU

   subroutine DGEEQU (integer m, integer n, double precision, dimension( lda, *
       ) a, integer lda, double precision, dimension( * ) r, double precision,
       dimension( * ) c, double precision rowcnd, double precision colcnd,
       double precision amax, integer info)

DGEEQU 🫢

🧚 Purpose

okay so DGEEQU computes row and column scalings intended to equilibrate an M-by-N matrix A and reduce its condition number. R returns the row scale factors and C the column scale factors, chosen to try to make the largest element in each row and column of the matrix B with elements B(i,j)=R(i)*A(i,j)*C(j) have absolute value 1. literally the goal πŸ’…

R(i) and C(j) are restricted to be between SMLNUM = smallest safe number and BIGNUM = largest safe number. Use of these scaling factors is not guaranteed to reduce the condition number of A but works well in practice.

Caveat bestie: using these scaling factors is not guaranteed to reduce the condition number of A, but it works well in practice. so like, it’s giving β€œtrust me it usually slays” 😭

🌈 Parameters

  • M β€” INTEGER; the number of rows of the matrix A. M >= 0.
  • N β€” INTEGER; the number of columns of the matrix A. N >= 0.
  • A β€” DOUBLE PRECISION array, dimension (LDA,N); the M-by-N matrix whose equilibration factors are to be computed.
  • LDA β€” INTEGER; the leading dimension of the array A. LDA >= max(1,M).
  • R β€” DOUBLE PRECISION array, dimension (M); if INFO = 0 or INFO > M, R contains the row scale factors for A.
  • C β€” DOUBLE PRECISION array, dimension (N); if INFO = 0, C contains the column scale factors for A.
  • ROWCND β€” DOUBLE PRECISION; if INFO = 0 or INFO > M, ROWCND contains the ratio of the smallest R(i) to the largest R(i). If ROWCND >= 0.1 and AMAX is neither too large nor too small, it is not worth scaling by R.
  • COLCND β€” DOUBLE PRECISION; if INFO = 0, COLCND contains the ratio of the smallest C(i) to the largest C(i). If COLCND >= 0.1, it is not worth scaling by C.
  • AMAX β€” DOUBLE PRECISION; absolute value of largest matrix element. If AMAX is very close to overflow or very close to underflow, the matrix should be scaled.
  • INFO β€” INTEGER; here’s the tea:
    • = 0: successful exit
    • < 0: if INFO = -i, the i-th argument had an illegal value
    • > 0: if INFO = i, and i is
      • <= M: the i-th row of A is exactly zero
      • > M: the (i-M)-th column of A is exactly zero

πŸ‘‘ Author

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

Definition at line 137 of file dgeequ.f.

πŸ‘‘ Author

Generated automatically by Doxygen for LAPACK from the source code.


Okay bestie, that’s the whole page! Source/version tea: LAPACK Version 3.12.0, page path /home/abui...RC/dgeequ.f(3) β€” now go equilibrate responsibly πŸ’–βœ¨

πŸ“¦ where this page comes from