/home/abui...D/clahrd.f(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

okay so bestie πŸ’– welcome to the clahrd.f page in the Library Functions Manual β€” this one is a whole deprecated LAPACK mood, and we're gonna get into it. No cap.

🌸 NAME 🌸

This page is for this exact file path, character for character:

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/DEPRECATED/clahrd.f

✨ SYNOPSIS ✨

🫢 Functions/Subroutines 🫢

Here's the subroutine vibe check:

subroutine CLAHRD (n, k, nb, a, lda, tau, t, ldt, y, ldy)

CLAHRD 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. Slay.

πŸ’– Function/Subroutine Documentation πŸ’–

The full signature is giving main-character energy:

   subroutine CLAHRD (integer n, integer k, integer nb, complex, dimension(
       lda, * ) a, integer lda, complex, dimension( nb ) tau, complex,
       dimension( ldt, nb ) t, integer ldt, complex, dimension( ldy, nb ) y,
       integer ldy)

CLAHRD 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. Yes, bestie, that's the whole assignment. Fr fr.

πŸŽ€ Purpose πŸŽ€

⚠️ deprecated alert ⚠️ This routine is deprecated and has been replaced by routine CLAHR2.

So here's the tea: CLAHRD 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. Iconic behavior, honestly. Periodt.

🌈 Parameters 🌈

  • N β€” N is INTEGER. It's the order of the matrix A.
  • K β€” K is INTEGER. It's the offset for the reduction. Elements below the k-th subdiagonal in the first NB columns are reduced to zero.
  • NB β€” NB is INTEGER. The number of columns to be reduced.
  • A β€” A is COMPLEX 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.
  • LDA β€” LDA is INTEGER. The leading dimension of the array A. LDA >= max(1,N).
  • TAU β€” TAU is COMPLEX array, dimension (NB). The scalar factors of the elementary reflectors. See Further Details.
  • T β€” T is COMPLEX array, dimension (LDT,NB). The upper triangular matrix T.
  • LDT β€” LDT is INTEGER. The leading dimension of the array T. LDT >= NB.
  • Y β€” Y is COMPLEX array, dimension (LDY,NB). The n-by-nb matrix Y.
  • LDY β€” LDY is INTEGER. The leading dimension of the array Y. LDY >= max(1,N).

πŸ‘‘ Author πŸ‘‘

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

πŸ¦‹ Further Details πŸ¦‹

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 with v(1:i+k-1) = 0, v(i+k) = 1; v(i+k+1:n) is stored on exit in A(i+k+1:n,i), and tau in TAU(i). Obsessed with this notation? Maybe not, but it's literally what's happening.

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).

The contents of A on exit are illustrated by the following example with n = 7, k = 3 and nb = 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).

πŸ“Œ Definition at line 166 of file clahrd.f.

Yep, that's where it's defined, bestie.

πŸ‘‘ Author πŸ‘‘

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