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

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… SGBEQUB β€” Library Functions Manual πŸ’…

okay bestie, welcome to the Library Functions Manual page for /home/abui.../sgbequb.f(3). We're doing Fortran LAPACK things and it's gonna be iconic. 🫢


🌸 NAME 🌸

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

like that's the file, periodt. πŸ’–


✨ SYNOPSIS ✨

πŸ¦‹ Functions/Subroutines πŸ¦‹

  • subroutine SGBEQUB (m, n, kl, ku, ab, ldab, r, c, rowcnd, colcnd, amax, info) β€” the whole routine, and yes the name is literally SGBEQUB again. iconic.
subroutine SGBEQUB (m, n, kl, ku, ab, ldab, r, c, rowcnd, colcnd, amax,
    info)

πŸŽ€ Function/Subroutine Documentation πŸŽ€

subroutine SGBEQUB (integer m, integer n, integer kl, integer ku, real,
    dimension( ldab, * ) ab, integer ldab, real, dimension( * ) r, real,
    dimension( * ) c, real rowcnd, real colcnd, real amax, integer info)

SGBEQUB πŸ’…

πŸ’– Purpose πŸ’–

okay so SGBEQUB 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 returns 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. slay. ✨

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. no cap.

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). 🫢

🌈 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.
  • KL β€” KL is INTEGER. The number of subdiagonals within the band of A. KL >= 0.
  • KU β€” KU is INTEGER. The number of superdiagonals within the band of A. KU >= 0.
  • AB β€” AB is REAL array, dimension (LDAB,N). On entry, the matrix A in band storage, in rows 1 to KL+KU+1. The j-th column of A is stored in the j-th column of the array AB as follows:
AB(KU+1+i-j,j) = A(i,j) for max(1,j-KU)<=i<=min(N,j+kl)
  • LDAB β€” LDAB is INTEGER. The leading dimension of the array A. LDAB >= 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

πŸ‘‘ Author πŸ‘‘

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

Definition at line 158 of file sgbequb.f. πŸ’…


🌟 Author 🌟

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