SRC/ilaslr.f(3)
π SRC/ilaslr.f(3) β the Library Functions Manual page for ilaslr π
okay so bestie, this is the Library Functions Manual entry for SRC/ilaslr.f. Itβs a whole little function page, and weβre gonna read it together. no skipping, iykyk π
πΈ NAME πΈ
SRC/ilaslr.f β thatβs the name on the page. periodt. π
β¨ SYNOPSIS β¨
π Functions/Subroutines π
integer function ilaslr (m, n, a, lda)β ILASLR scans a matrix for its last non-zero row.
π Function/Subroutine Documentation π
πΈ integer function ilaslr πΈ
Hereβs the full signature, bestie β donβt let the line wrap scare you:
integer function ilaslr (integer m, integer n, real, dimension( lda, * ) a,
integer lda)
ILASLR scans a matrix for its last non-zero row.
Thatβs it. Thatβs the whole function vibe. π«Ά
β¨ Purpose β¨
The source doc comment says, verbatim:
!>
!> ILASLR scans A for its last non-zero row.
!>
So yeah: it scans A for its last non-zero row. iconic behavior, honestly π¦
π Parameters π
π M
!> M is INTEGER
!> The number of rows of the matrix A.
M is an INTEGER, and itβs literally the number of rows of the matrix A. slay. π
π N
!> N is INTEGER
!> The number of columns of the matrix A.
N is an INTEGER β the number of columns of A. periodt. β¨
π A
!> A is REAL array, dimension (LDA,N)
!> The m by n matrix A.
A is a REAL array with dimension (LDA,N), and itβs the m by n matrix A. no cap. π
π LDA
!> LDA is INTEGER
!> The leading dimension of the array A. LDA >= max(1,M).
LDA is an INTEGER β the leading dimension of the array A, and it has to satisfy LDA >= max(1,M). important βΌοΈ
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 77 of file ilaslr.f.
π¦ Author π¦
Generated automatically by Doxygen for LAPACK from the source code.
And thatβs the whole page, bestie. Signing off from LAPACK Version 3.12.0, page SRC/ilaslr.f(3) β go scan something fabulous. π
β¨
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms