SRC/zpbequ.f(3)

πŸŽ€ NAME πŸŽ€

SRC/zpbequ.f β€” bestie, this is the zpbequ page from the Library Functions Manual, and we are gonna get into it. πŸ’…


✨ SYNOPSIS ✨

🧚 Functions/Subroutines 🧚

  • subroutine zpbequ (uplo, n, kd, ab, ldab, s, scond, amax, info) β€” ZPBEQU

πŸ’– Function/Subroutine Documentation πŸ’–

subroutine zpbequ (character uplo, integer n, integer kd, complex*16,
       dimension( ldab, * ) ab, integer ldab, double precision, dimension( * )
       s, double precision scond, double precision amax, integer info)

ZPBEQU β€” that's the main character, periodt. πŸ‘‘

🎯 Purpose 🎯

Okay so ZPBEQU computes row and column scalings intended to equilibrate a Hermitian positive definite band 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. The math is mathing. ✨

🌸 Parameters 🌸

  • UPLO β€” CHARACTER*1
    • = 'U': Upper triangular of A is stored;
    • = 'L': Lower triangular of A is stored.
  • N β€” INTEGER. The order of the matrix A. N >= 0.
  • KD β€” INTEGER. The number of superdiagonals of the matrix A if UPLO = 'U', or the number of subdiagonals if UPLO = 'L'. KD >= 0.
  • AB β€” COMPLEX*16 array, dimension (LDAB,N). The upper or lower triangle of the Hermitian band matrix A, stored in the first KD+1 rows of the array. The j-th column of A is stored in the j-th column of the array AB as follows:
    • if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
    • if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
  • LDAB β€” INTEGER. The leading dimension of the array A. LDAB >= KD+1.
  • S β€” DOUBLE PRECISION array, dimension (N). If INFO = 0, S contains the scale factors for A.
  • SCOND β€” DOUBLE PRECISION. If INFO = 0, 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€” 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
    • = 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 129 of file zpbequ.f

Yep, that's where it lives in the source, bestie. 🫢


🫢 Author 🫢

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Mwah πŸ’‹ β€” this page is from LAPACK Version 3.12.0, SRC/zpbequ.f(3). Bye bestie, go equilibrate something iconic! πŸ’–βœ¨

πŸ“¦ where this page comes from