PZLAHRD(l)
β¨ PZLAHRD β¨
okay so bestie, sit down, hydrate, because today we're getting into PZLAHRD β a LAPACK auxiliary routine from the l corner of the manual π
it's giving linear algebra, it's giving distributed matrix energy, and yes it's a supporting character in somebody else's redemption arc (we'll get to that, bestie, don't worry) π«Ά
πΈ NAME πΈ
PZLAHRD β the routine that reduces the first NB columns of a complex general N-by-(N-K+1) distributed matrix A(IA:IA+N-1,JA:JA+N-K) so that elements below the k-th subdiagonal are zero β¨ like, that's the whole assignment and she ate π₯
π SYNOPSIS π
SUBROUTINE PZLAHRD( N, K, NB, A, IA, JA, DESCA, TAU, T, Y, IY, JY,
DESCY, WORK )
INTEGER IA, IY, JA, JY, K, N, NB
INTEGER DESCA( * ), DESCY( * )
COMPLEX*16 A( * ), T( * ), TAU( * ), WORK( * ), Y( * )
π« PURPOSE π«
So here's the vibe: PZLAHRD reduces the first NB columns of a complex general N-by-(N-K+1) distributed matrix A(IA:IA+N-1,JA:JA+N-K) so that elements below the k-th subdiagonal are zero. Periodt. π
The reduction is performed by an unitary similarity transformation Q' * A * Q. The routine returns the matrices V and T which determine Q as a block reflector I - V*T*V', and also the matrix Y = A * V * T π
And yes, she's an auxiliary routine β called by PZGEHRD, bestie. Supporting role, main character performance π In the following comments sub( A ) denotes A(IA:IA+N-1,JA:JA+N-1).
π ARGUMENTS π
N(global input)INTEGERβ the number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ). And listen,N >= 0. no cap π«‘K(global input)INTEGERβ the offset for the reduction. Elements below thek-th subdiagonal in the firstNBcolumns are reduced to zero π§NB(global input)INTEGERβ the number of columns to be reduced. iconic, love that for her β¨A(local input/local output)COMPLEX*16pointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-K)). On entry, this array contains the local pieces of theN-by-(N-K+1)general distributed matrixA(IA:IA+N-1,JA:JA+N-K). On exit, the elements on and above thek-th subdiagonal in the firstNBcolumns are overwritten with the corresponding elements of the reduced distributed matrix; the elements below thek-th subdiagonal, with the arrayTAU, represent the matrixQas a product of elementary reflectors. The other columns ofA(IA:IA+N-1,JA:JA+N-K)are unchanged. See Further Details πIA(global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ). (yeah bestie,IAgot squished inside theAentry in the original and we are honoring the canon π)
JA(global input)INTEGERβ the column index in the global arrayAindicating the first column ofsub( A )π¦DESCA(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixAβ she's the vibe check for where everything lives πTAU(local output)COMPLEX*16array, dimensionLOCc(JA+N-2)β the scalar factors of the elementary reflectors (see Further Details).TAUis tied to the distributed matrixAπT(local output)COMPLEX*16array, dimension(NB_A,NB_A)β the upper triangular matrixTβY(local output)COMPLEX*16pointer into the local memory to an array of dimension(LLD_Y,NB_A). On exit, this array contains the local pieces of theN-by-NBdistributed matrixY. And bestie,LLD_Y >= LOCr(IA+N-1)β respect the constraint or perish πIY(global input)INTEGERβ the row index in the global arrayYindicating the first row ofsub( Y )πJY(global input)INTEGERβ the column index in the global arrayYindicating the first column ofsub( Y )πDESCY(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixYπWORK(local workspace)COMPLEX*16array, dimension(NB)β the little scratch pad, tiny but mighty π
π FURTHER DETAILS π
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'
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(ia+i+k:ia+n-1,ja+i-1), and tau in TAU(ja+i-1) 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(ia:ia+n-1,ja:ja+n-k) := (I-V*T*V')*(A(ia:ia+n-1,ja:ja+n-k)-Y*V').
The contents of A(ia:ia+n-1,ja:ja+n-k) 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(ia:ia+n-1,ja:ja+n-k), h denotes a modified element of the upper Hessenberg matrix H, and vi denotes an element of the vector defining H(i) πΈ
fr fr, stare at that little grid for a sec. it's literally the whole personality of the routine. theas are untouched, thehs got a glow-up, and thevs are the receipts π
and that's the whole page, bestie π«Ά this was LAPACK version 1.5, dated 12 May 1997 β yes, she's vintage, she's classic, she's still running on machines that were built before you were born π go call PZGEHRD and be free 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