SRC/DEPRECATED/zlahrd.f(3)
πΈ SRC/DEPRECATED/zlahrd.f π
okay bestie, gather round, because this is a page from the LAPACK manual (Version 3.12.0, if we're being nosy) and it's lowkey a little nostalgic β it's one of those deprecated girlies. Let's get into it β¨
β¨ NAME β¨
SRC/DEPRECATED/zlahrd.f β the file, the moment, the legend. It's giving "I was replaced but I still have main character energy" π
π¦ SYNOPSIS π¦
Functions/Subroutines
subroutine zlahrd (n, k, nb, a, lda, tau, t, ldt, y, ldy)β ZLAHRD reduces the first nb columns of a general rectangular matrix A so that elements below the k-th subdiagonal are zero, and returns auxiliary matrices which are needed to apply the transformation to the unreduced part of A.
π Function/Subroutine Documentation π
subroutine zlahrd (integer n, integer k, integer nb, complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( nb ) tau, complex*16, dimension( ldt, nb ) t, integer ldt, complex*16, dimension( ldy, nb ) y, integer ldy)
ZLAHRD reduces the first nb columns of a general rectangular matrix A so that elements below the k-th subdiagonal are zero, and returns auxiliary matrices which are needed to apply the transformation to the unreduced part of A.
π§ Purpose:
!> This routine is deprecated and has been replaced by routine ZLAHR2.
fr fr, she's deprecated β ZLAHR2 is the one you should be calling now, no cap. But let's still stan what she does π
ZLAHRD reduces the first NB columns of a complex general n-by-(n-k+1) matrix A so that elements below the k-th subdiagonal are zero. The reduction is performed by a unitary similarity transformation Q**H * A * Q. The routine returns the matrices V and T which determine Q as a block reflector I - V*T*V**H, and also the matrix Y = A * V * T.
so basically: zero out the stuff below the k-th subdiagonal, and hand back V, T, and Y so you can do the same glow-up to the part of A you haven't touched yet. iconic behavior honestly π
β Parameters β
N
N is INTEGER The order of the matrix A.
the size of the whole situation, bestie π«Ά
K
K is INTEGER The offset for the reduction. Elements below the k-th subdiagonal in the first NB columns are reduced to zero.
she's the offset β everything below the k-th subdiagonal in the first NB columns gets sent to zero π«₯
NB
NB is INTEGER The number of columns to be reduced.
how many columns are getting the treatment. yes ma'am π
A
A is COMPLEX*16 array, dimension (LDA,N-K+1) On entry, the n-by-(n-k+1) general matrix A. On exit, the elements on and above the k-th subdiagonal in the first NB columns are overwritten with the corresponding elements of the reduced matrix; the elements below the k-th subdiagonal, with the array TAU, represent the matrix Q as a product of elementary reflectors. The other columns of A are unchanged. See Further Details.
the main character herself. on entry she's just a general matrix; on exit the first NB columns are transformed, and the bits below the k-th subdiagonal (together with TAU) become the recipe for Q. the rest of her columns? untouched, unbothered, thriving β¨
LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N).
leading dimension of A, and she must satisfy LDA >= max(1,N). rules are rules π
TAU
TAU is COMPLEX*16 array, dimension (NB) The scalar factors of the elementary reflectors. See Further Details.
the scalar factors of the elementary reflectors β the little sparkles that make the reflectors work π«
T
T is COMPLEX*16 array, dimension (LDT,NB) The upper triangular matrix T.
upper triangular, serving structure, we love to see it πΊ
LDT
LDT is INTEGER The leading dimension of the array T. LDT >= NB.
leading dimension of T, and LDT >= NB, periodt.
Y
Y is COMPLEX*16 array, dimension (LDY,NB) The n-by-nb matrix Y.
the n-by-nb matrix Y, exactly as advertised π¦
LDY
LDY is INTEGER The leading dimension of the array Y. LDY >= max(1,N).
leading dimension of Y, and LDY >= max(1,N). don't skip the vibe check on this one π
πΈ Author πΈ
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
(the whole committee said "we made this" and honestly? credit where credit is due π)
π Further Details:
The matrix Q is represented as a product of nb elementary reflectors
Q = H(1) H(2) . . . H(nb).
Each H(i) has the form
H(i) = I - tau * v * v**H
where tau is a complex scalar, and v is a complex vector withv(1:i+k-1) = 0,v(i+k) = 1;v(i+k+1:n)is stored on exit inA(i+k+1:n,i), and tau inTAU(i).
okay so each H(i) is I - tau * v * v**H, where tau is a complex scalar and v is a complex vector. v starts out with a bunch of zeros, has a 1 sitting at v(i+k), and the tail v(i+k+1:n) lives in A(i+k+1:n,i) after the routine runs β with tau chilling in TAU(i). precise, elegant, no notes π
The elements of the vectors v together form the (n-k+1)-by-nb matrix V which is needed, with T and Y, to apply the transformation to the unreduced part of the matrix, using an update of the form: A := (I - V*T*V**H) * (A - Y*V**H).
all the little v vectors team up into V, an (n-k+1)-by-nb matrix, and together with T and Y she's everything you need to update the unreduced chunk of the matrix. the update is:
A := (I - V*T*V**H) * (A - Y*V**H).
The contents of A on exit are illustrated by the following example withn = 7,k = 3andnb = 2:
( a h a a a )
( a h a a a )
( a h a a a )
( h h a a a )
( v1 h a a a )
( v1 v2 a a a )
( v1 v2 a a a )
where a denotes an element of the original matrix A, h denotes a modified element of the upper Hessenberg matrix H, and vi denotes an element of the vector defining H(i).
so in that lil diagram: a = a survivor from the original A, h = a modified element of the upper Hessenberg matrix H, and vi = an element of the vector that defines H(i). visual learners stay winning π
π Definition at line 166 of file zlahrd.f.
β Author β
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π«Ά
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
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