BLAS/SRC/dsymm.f(3)

πŸ’– BLAS/SRC/dsymm.f β€” like, the LAPACK manual page but make it make sense πŸ’–

okay bestie, gather round, because today we're decoding BLAS/SRC/dsymm.f β€” a whole LAPACK moment, and honestly? it's giving linear algebra main character energy ✨


✨ NAME ✨

BLAS/SRC/dsymm.f β€” no cap, that's literally the whole name. short, iconic, to the point πŸ’…


🌸 SYNOPSIS 🌸

Functions/Subroutines

  • subroutine dsymm (side, uplo, m, n, alpha, a, lda, b, ldb, beta, c, ldc)
    • and the subroutine is called DSYMM, yes queen, say it with your chest πŸ‘‘

πŸ¦‹ Function/Subroutine Documentation πŸ¦‹

subroutine dsymm (character side, character uplo, integer m, integer n,
     double precision alpha, double precision, dimension(lda,*) a, integer
     lda, double precision, dimension(ldb,*) b, integer ldb, double precision
     beta, double precision, dimension(ldc,*) c, integer ldc)

DSYMM πŸ’« (this is the whole personality of the file, fr fr)

πŸŽ€ Purpose:

so the tea is: DSYMM performs one of the matrix-matrix operations

C := alpha*A*B + beta*C,

or

C := alpha*B*A + beta*C,

where alpha and beta are scalars, A is a symmetric matrix and B and C are m by n matrices. lowkey that's the whole vibe 🫢

πŸ‘‘ Parameters

  • SIDE β€” SIDE is CHARACTER*1. On entry, SIDE specifies whether the symmetric matrix A appears on the left or right in the operation, like so:
    • SIDE = 'L' or 'l' β†’ C := alpha*A*B + beta*C,
    • SIDE = 'R' or 'r' β†’ C := alpha*B*A + beta*C,
  • UPLO β€” UPLO is CHARACTER*1. On entry, UPLO specifies whether the upper or lower triangular part of the symmetric matrix A is to be referenced, as follows:
    • UPLO = 'U' or 'u' β†’ Only the upper triangular part of the symmetric matrix is to be referenced.
    • UPLO = 'L' or 'l' β†’ Only the lower triangular part of the symmetric matrix is to be referenced.
  • M β€” M is INTEGER. On entry, M specifies the number of rows of the matrix C. M must be at least zero. (zero is allowed, she's generous like that πŸ’œ)
  • N β€” N is INTEGER. On entry, N specifies the number of columns of the matrix C. N must be at least zero.
  • ALPHA β€” ALPHA is DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha. just a lil scalar, doing her thing 🌸
  • A β€” A is DOUBLE PRECISION array, dimension ( LDA, ka ), where ka is m when SIDE = 'L' or 'l' and is n otherwise.
    • Before entry with SIDE = 'L' or 'l', the m by m part of the array A must contain the symmetric matrix, such that when UPLO = 'U' or 'u', the leading m by m upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced, and when UPLO = 'L' or 'l', the leading m by m lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced.
    • Before entry with SIDE = 'R' or 'r', the n by n part of the array A must contain the symmetric matrix, such that when UPLO = 'U' or 'u', the leading n by n upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced, and when UPLO = 'L' or 'l', the leading n by n lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced.
    • > bestie the "not referenced" parts are not referenced. do not touch them. they are not your business πŸ™ˆ
  • LDA β€” LDA is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. When SIDE = 'L' or 'l' then LDA must be at least max( 1, m ), otherwise LDA must be at least max( 1, n ).
  • B β€” B is DOUBLE PRECISION array, dimension ( LDB, N ). Before entry, the leading m by n part of the array B must contain the matrix B.
  • LDB β€” LDB is INTEGER. On entry, LDB specifies the first dimension of B as declared in the calling (sub) program. LDB must be at least max( 1, m ).
  • BETA β€” BETA is DOUBLE PRECISION. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then C need not be set on input. (free pass, we love to see it 😌)
  • C β€” C is DOUBLE PRECISION array, dimension ( LDC, N ). Before entry, the leading m by n part of the array C must contain the matrix C, except when beta is zero, in which case C need not be set on entry. On exit, the array C is overwritten by the m by n updated matrix. πŸ”₯
  • LDC β€” LDC is INTEGER. On entry, LDC specifies the first dimension of C as declared in the calling (sub) program. LDC must be at least max( 1, m ).

πŸ’« Author

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

the whole squad, periodt 🫢

🌈 Further Details:

  • Level 3 Blas routine.
  • -- Written on 8-February-1989.
    • Jack Dongarra, Argonne National Laboratory.
    • Iain Duff, AERE Harwell.
    • Jeremy Du Croz, Numerical Algorithms Group Ltd.
    • Sven Hammarling, Numerical Algorithms Group Ltd.

1989?? and still serving looks. legends only πŸ‘‘

Definition at line 188 of file dsymm.f. (line 188, mark it, bestie ⭐)


🧚 Author 🧚

Generated automatically by Doxygen for LAPACK from the source code. yes, a robot wrote this and honestly it ate πŸ’…


and that's the whole page!! mwah πŸ’–

Version 3.12.0 Β· Tue Nov 28 2023 12:08:41 Β· and we were all in the BLAS/SRC/dsymm.f(3) section together the whole time 🌸✨ go forth and multiply your matrices, bestie πŸ¦‹