PZPTSV(l)
π PZPTSV β bestie's guide to solving tridiagonal systems π
okay so real talk, this is a LAPACK routine (version 1.5, she's vintage, she's iconic) and she does exactly one thing but she does it flawlessly. no cap.
β¨ NAME β¨
PZPTSV β solves a system of linear equations
A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)
like. that's it. that's her whole job. and she ate. π
πΈ SYNOPSIS πΈ
SUBROUTINE PZPTSV( UPLO, N, NRHS, D, E, JA, DESCA, B, IB, DESCB, WORK,
LWORK, INFO )
CHARACTER UPLO
INTEGER IB, INFO, JA, LWORK, N, NRHS
INTEGER DESCA( * ), DESCB( * )
COMPLEX*16 B( * ), E( * ), WORK( * )
DOUBLE PRECISION D( * )
(and yes, that DOUBLE PRECISION is split across two lines like that in the original β we don't touch the code, bestie, we only admire it π«Ά)
π¦ PURPOSE π¦
okay so here's the tea β β PZPTSV solves a system of linear equations
where A(1:N, JA:JA+N-1) is an N-by-N complex tridiagonal symmetric positive definite distributed matrix. yes, that's a lot of adjectives. she's complex, she's tridiagonal, she's symmetric, she's positive definite, she's distributed. main character energy fr fr π
Cholesky factorization is used to factor a reordering of the matrix into L L'. slay.
π‘ if you wanna know the details details (and you do, you're nosy, I love that for you), go check outPZPTTRFandPZPTTRS. they're the besties who handle the behind-the-scenes lore.
π a lil sign-off π
so this was LAPACK routine version 1.5, dated 12 May 1997 β yeah she's older than most of us and still serving π. go forth, solve your tridiagonal systems, and remember: the vibe is immaculate, the math is immaculate, and you're doing amazing sweetie. πβ¨π¦π
π¦ where this page comes from
- ubuntu jammy: scalapack-doc 1.5-11
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms