SRC/zla_syamv.f(3)

🌸 SRC/zla_syamv.f 🌸

ok so this is a page from the LAPACK manual (Library Functions Manual), and bestie, it's all about one iconic little subroutine. buckle up πŸ’…


✨ NAME ✨

SRC/zla_syamv.f β€” no cap, that's the whole name, it's giving "I let my work speak for itself" πŸ’β€β™€οΈ


✨ SYNOPSIS ✨

πŸŽ€ Functions/Subroutines πŸŽ€

  • subroutine zla_syamv (uplo, n, alpha, a, lda, x, incx, beta, y, incy) β€” ZLA_SYAMV computes a matrix-vector product using a symmetric indefinite matrix to calculate error bounds. that's her job, that's what she does 🫢

✨ Function/Subroutine Documentation ✨

subroutine zla_syamv (integer uplo, integer n, double precision alpha,
    complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( *
    ) x, integer incx, double precision beta, double precision, dimension( *
    ) y, integer incy)

ZLA_SYAMV computes a matrix-vector product using a symmetric indefinite matrix to calculate error bounds. literally her whole personality πŸ”₯

πŸ’– Purpose πŸ’–

ok so ZLA_SYAMV performs the matrix-vector operation:

y := alpha*abs(A)*abs(x) + beta*abs(y),

where alpha and beta are scalars, x and y are vectors and A is an n by n symmetric matrix. slay πŸ’…

This function is primarily used in calculating error bounds. To protect against underflow during evaluation, components in the resulting vector are perturbed away from zero by (N+1) times the underflow threshold. To prevent unnecessarily large errors for block-structure embedded in general matrices, zero components are not perturbed. A zero entry is considered if all multiplications involved in computing that entry have at least one zero multiplicand. 🧠✨ (yes this is the deep lore, pay attention)


🌈 Parameters 🌈

⭐ UPLO

UPLO is INTEGER. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows:

  • UPLO = BLAS_UPPER β€” Only the upper triangular part of A is to be referenced.
  • UPLO = BLAS_LOWER β€” Only the lower triangular part of A is to be referenced.

Unchanged on exit. (she stays exactly how you left her πŸ’–)

⭐ N

N is INTEGER. On entry, N specifies the number of columns of the matrix A. N must be at least zero. Unchanged on exit.

⭐ ALPHA

ALPHA is DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha. Unchanged on exit.

⭐ A

A is COMPLEX*16 array, dimension ( LDA, n ). Before entry, the leading m by n part of the array A must contain the matrix of coefficients. Unchanged on exit.

⭐ LDA

LDA is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. LDA must be at least max( 1, n ). Unchanged on exit. don't skimp on this one bestie, it's a hard requirement 😀

⭐ X

X is COMPLEX*16 array, dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the vector x. Unchanged on exit.

⭐ INCX

INCX is INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero. Unchanged on exit. 🚨

⭐ BETA

BETA is DOUBLE PRECISION. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input. Unchanged on exit. (free pass on setting Y, we love a shortcut ✨)

⭐ Y

Y is DOUBLE PRECISION array, dimension ( 1 + ( n - 1 )*abs( INCY ) ). Before entry with BETA non-zero, the incremented array Y must contain the vector y. On exit, Y is overwritten by the updated vector y. she gets a whole glow-up on the way out πŸ’«

⭐ INCY

INCY is INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero. Unchanged on exit. 🚨


✨ Author ✨

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

the whole squad pulled up for this one πŸ«ΆπŸ‘‘


✨ Further Details ✨

Level 2 Blas routine.
-- Written on 22-October-1986. Jack Dongarra, Argonne National Lab. Jeremy Du Croz, Nag Central Office. Sven Hammarling, Nag Central Office. Richard Hanson, Sandia National Labs. -- Modified for the absolute-value product, April 2006 Jason Riedy, UC Berkeley

legends. absolute legends. the way they were doing linear algebra before some of us were even born πŸ˜­πŸ‘‘


Definition at line 177 of file zla_syamv.f.


✨ Author ✨

Generated automatically by Doxygen for LAPACK from the source code. (not a human, just a little robot doing its best πŸ€–πŸ’–)


ok that's the whole page bestie, go forth and compute those error bounds πŸ’…βœ¨ LAPACK, Version 3.12.0, dated SRC/zla_syamv.f(3) β€” mwah, bye! πŸŽ€πŸ¦‹πŸ’œ

πŸ“¦ where this page comes from