/home/abui.../sgeequb.f(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… sgeequb.f(3) πŸ’…

okay bestie, this is a Library Functions Manual page, and it's literally for /home/abui.../sgeequb.f(3). no cap, we're getting into it.


πŸŽ€ NAME πŸŽ€

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

that's the file path, periodt.


πŸ¦‹ SYNOPSIS πŸ¦‹

Functions/Subroutines

subroutine SGEEQUB (m, n, a, lda, r, c, rowcnd, colcnd, amax, info)
    SGEEQUB

πŸ’– Function/Subroutine Documentation πŸ’–

here's the full signature with types, bestie β€” copy it exactly:

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

and yes, its name is SGEEQUB. iconic.

🌈 Purpose 🌈

okay so SGEEQUB 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 an absolute value of at most the radix.

R(i) and C(j) are restricted to be a power of the radix 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.

This routine differs from SGEEQU by restricting the scaling factors to a power of the radix. Barring over- and underflow, scaling by these factors introduces no additional rounding errors. However, the scaled entries' magnitudes are no longer approximately 1 but lie between sqrt(radix) and 1/sqrt(radix).

πŸŽ€ Parameters πŸŽ€

every single one, no skipping:

  • M is INTEGER β€” the number of rows of the matrix A. M >= 0.
  • N is INTEGER β€” the number of columns of the matrix A. N >= 0.
  • A is REAL array, dimension (LDA,N) β€” the M-by-N matrix whose equilibration factors are to be computed.
  • LDA is INTEGER β€” the leading dimension of the array A. LDA >= max(1,M).
  • R is REAL array, dimension (M) β€” if INFO = 0 or INFO > M, R contains the row scale factors for A.
  • C is REAL array, dimension (N) β€” if INFO = 0, C contains the column scale factors for A.
  • ROWCND is REAL β€” 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 is REAL β€” 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 is REAL β€” absolute value of largest matrix element. If AMAX is very close to overflow or very close to underflow, the matrix should be scaled.
  • INFO is INTEGER β€” exit status 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 πŸ‘‘

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

⭐ Definition at line 144 of file sgeequb.f ⭐

yep, that's where it lives: Definition at line 144 of file sgeequb.f.


πŸ’Œ Author πŸ’Œ

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that's the whole vibe, bestie β€” this page is from LAPACK Version 3.12.0, at /home/abui.../sgeequb.f(3) 🫢✨

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