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πŸ’– dpoequb.f(3) πŸ’–

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🌸 NAME 🌸

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dpoequb.f β€” that's the file this page is about, no cap. It's giving "deep in the build directory" main character energy. πŸŽ€

✨ SYNOPSIS ✨

🧚 Functions/Subroutines 🧚

subroutine DPOEQUB (n, a, lda, s, scond, amax, info)

DPOEQUB

πŸ¦‹ Function/Subroutine Documentation πŸ¦‹

subroutine DPOEQUB (integer n, double precision, dimension( lda, * ) a,
       integer lda, double precision, dimension( * ) s, double precision scond,
       double precision amax, integer info)

DPOEQUB

πŸŽ€ Purpose πŸŽ€

DPOEQUB computes row and column scalings intended to equilibrate a symmetric positive definite matrix A and reduce its condition number (with respect to the two-norm). S contains the scale factors, S(i) = 1/sqrt(A(i,i)), chosen so that the scaled matrix B with elements B(i,j) = S(i)*A(i,j)*S(j) has ones on the diagonal. This choice of S puts the condition number of B within a factor N of the smallest possible condition number over all possible diagonal scalings.

This routine differs from DPOEQU 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 diagonal entries are no longer approximately 1 but lie between sqrt(radix) and 1/sqrt(radix).

bestie, that last bit is the whole plot twist: the diagonal is not chillin' at ~1 anymore, it's hanging out between sqrt(radix) and 1/sqrt(radix). 🫢

πŸ“ Parameters πŸ“

  • N β€” N is INTEGER; the order of the matrix A. N >= 0.
  • A β€” A is DOUBLE PRECISION array, dimension (LDA,N); the N-by-N symmetric positive definite matrix whose scaling factors are to be computed. Only the diagonal elements of A are referenced.
  • LDA β€” LDA is INTEGER; the leading dimension of the array A. LDA >= max(1,N).
  • S β€” S is DOUBLE PRECISION array, dimension (N); if INFO = 0, S contains the scale factors for A.
  • SCOND β€” SCOND is DOUBLE PRECISION; if INFO = 0, the page says S contains the ratio of the smallest S(i) to the largest S(i). If SCOND >= 0.1 and AMAX is neither too large nor too small, it is not worth scaling by S.
  • AMAX β€” AMAX is 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€” INFO is INTEGER; here's the full vibe check:
    • = 0: successful exit
    • < 0: if INFO = -i, the i-th argument had an illegal value
    • > 0: if INFO = i, the i-th diagonal element is nonpositive.

πŸ‘‘ Author πŸ‘‘

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

πŸ“ Definition at line 117 of file dpoequb.f.

🌈 Author 🌈

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