SRC/dsytd2.f(3)
π NAME
SRC/dsytd2.f β yep, thatβs the source file, bestie. And yo, this page is from the Library Functions Manual, so you know itβs giving official-library energy β¨
β¨ SYNOPSIS
π§ Functions/Subroutines
subroutine dsytd2 (uplo, n, a, lda, d, e, tau, info)βDSYTD2reduces a symmetric matrix to real symmetric tridiagonal form by an orthogonal similarity transformation (unblocked algorithm). π
π«Ά Function/Subroutine Documentation
subroutine dsytd2 (character uplo, integer n, double precision, dimension(
lda, * ) a, integer lda, double precision, dimension( * ) d, double
precision, dimension( * ) e, double precision, dimension( * ) tau,
integer info)
DSYTD2 reduces a symmetric matrix to real symmetric tridiagonal form by an orthogonal similarity transformation (unblocked algorithm). No cap, thatβs the whole vibe of this subroutine π¦
π― Purpose
!>
!> DSYTD2 reduces a real symmetric matrix A to symmetric tridiagonal
!> form T by an orthogonal similarity transformation: Q**T * A * Q = T.
!>
So basically: symmetric matrix A walks in, tridiagonal form T walks out, and Q is the orthogonal similarity transformation doing the heavy lifting. Main character energy, honestly π
πΈ Parameters
UPLOβ isCHARACTER*1. Specifies whether the upper or lower triangular part of the symmetric matrixAis stored:= 'U': Upper triangular= 'L': Lower triangular
Nβ isINTEGER. The order of the matrixA.N >= 0.Aβ isDOUBLE PRECISIONarray, dimension(LDA,N). On entry, this is the symmetric matrixA. IfUPLO = 'U', the leadingn-by-nupper triangular part ofAcontains the upper triangular part of the matrixA, and the strictly lower triangular part ofAis not referenced. IfUPLO = 'L', the leadingn-by-nlower triangular part ofAcontains the lower triangular part of the matrixA, and the strictly upper triangular part ofAis not referenced. On exit, ifUPLO = 'U', the diagonal and first superdiagonal ofAare overwritten by the corresponding elements of the tridiagonal matrixT, and the elements above the first superdiagonal, with the arrayTAU, represent the orthogonal matrixQas a product of elementary reflectors; ifUPLO = 'L', the diagonal and first subdiagonal ofAare overwritten by the corresponding elements of the tridiagonal matrixT, and the elements below the first subdiagonal, with the arrayTAU, represent the orthogonal matrixQas a product of elementary reflectors. See Further Details.LDAβ isINTEGER. The leading dimension of the arrayA.LDA >= max(1,N).Dβ isDOUBLE PRECISIONarray, dimension(N). The diagonal elements of the tridiagonal matrixT:D(i) = A(i,i).Eβ isDOUBLE PRECISIONarray, dimension(N-1). The off-diagonal elements of the tridiagonal matrixT:E(i) = A(i,i+1)ifUPLO = 'U',E(i) = A(i+1,i)ifUPLO = 'L'.TAUβ isDOUBLE PRECISIONarray, dimension(N-1). The scalar factors of the elementary reflectors (see Further Details).INFOβ isINTEGER.= 0: successful exit< 0: ifINFO = -i, the i-th argument had an illegal value.
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ Further Details
If UPLO = 'U', the matrix Q is represented as a product of elementary reflectors:
Q = H(n-1) . . . H(2) H(1).
Each H(i) has the form:
H(i) = I - tau * v * v**T
where tau is a real scalar, and v is a real vector with v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in A(1:i-1,i+1), and tau in TAU(i).
If UPLO = 'L', the matrix Q is represented as a product of elementary reflectors:
Q = H(1) H(2) . . . H(n-1).
Each H(i) has the form:
H(i) = I - tau * v * v**T
where tau is a real scalar, and v is a real vector with v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(i+2:n,i), and tau in TAU(i).
The contents of A on exit are illustrated by the following examples with n = 5:
if UPLO = 'U': if UPLO = 'L':
( d e v2 v3 v4 ) ( d )
( d e v3 v4 ) ( e d )
( d e v4 ) ( v1 e d )
( d e ) ( v1 v2 e d )
( d ) ( v1 v2 v3 e d )
where d and e denote diagonal and off-diagonal elements of T, and vi denotes an element of the vector defining H(i).
Definition at line 172 of file dsytd2.f.
π Author
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