SRC/cgeequ.f(3)

okay so this page is SRC/cgeequ.f(3) from the Library Functions Manual, and it's your bestie-approved guide to the cgeequ subroutine. it's giving β€œlinear algebra but make it make sense” πŸ’…βœ¨

NAME πŸŽ€

SRC/cgeequ.f β€” the page for cgeequ, the subroutine that computes row and column equilibration scale factors.

SYNOPSIS 🌸

Functions/Subroutines πŸ¦‹

  • subroutine cgeequ (m, n, a, lda, r, c, rowcnd, colcnd, amax, info) β€” CGEEQU

Function/Subroutine Documentation πŸ’–

Full signature, exactly as written:

   subroutine cgeequ (integer m, integer n, complex, dimension( lda, * ) a,
       integer lda, real, dimension( * ) r, real, dimension( * ) c, real
       rowcnd, real colcnd, real amax, integer info)

CGEEQU

Purpose πŸ’«

CGEEQU 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.

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.

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.
  • A β€” A is COMPLEX array, dimension (LDA,N); the M-by-N matrix whose equilibration factors are to be computed.
  • LDA β€” LDA is INTEGER; the leading dimension of the array A. LDA >= max(1,M).
  • R β€” R is REAL array, dimension (M); if INFO = 0 or INFO > M, R contains the row scale factors for A.
  • C β€” C is REAL array, dimension (N); if INFO = 0, C contains the column scale factors for A.
  • ROWCND β€” ROWCND is REAL; 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€” COLCND is REAL; 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€” AMAX is REAL; 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€” INFO is INTEGER
    • = 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

Author 🌈

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

πŸ“Œ Definition at line 138 of file cgeequ.f.

Author πŸ’œ

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mwah πŸ’– this page is from LAPACK Version 3.12.0, and its source is SRC/cgeequ.f(3) β€” the footer didn’t give us a date, so we’re not inventing one 🫢✨

πŸ“¦ where this page comes from