PCHETRD(l)
π PCHETRD π
okay bestie, welcome to the PCHETRD page from the LAPACK routine manual (that's the l in PCHETRD(l), iykyk). buckle up, this one is a whole vibe and also extremely precise, so we're doing both. π
β¨ NAME β¨
PCHETRD β reduces a complex Hermitian matrix sub( A ) to Hermitian tridiagonal form T by an unitary similarity transformation. glow up via math, periodt. π
πΈ SYNOPSIS πΈ
SUBROUTINE PCHETRD( UPLO, N, A, IA, JA, DESCA, D, E, TAU, WORK, LWORK,
INFO )
CHARACTER UPLO
INTEGER IA, INFO, JA, LWORK, N
INTEGER DESCA( * )
REAL D( * ), E( * )
COMPLEX A( * ), TAU( * ), WORK( * )
π¦ PURPOSE π¦
PCHETRD reduces a complex Hermitian matrix sub( A ) to Hermitian tridiagonal form T by an unitary similarity transformation:
Q' * sub( A ) * Q = T
where sub( A ) = A(IA:IA+N-1,JA:JA+N-1). iconic behavior honestly. π
π Notes π
Every global data object is described by an associated description vector. That vector stores all the info you need to establish the mapping between an object element and its corresponding process and memory location. bestie it's the group chat of metadata.
Let A be a generic term for any 2D block cyclicly distributed array. Such a global array has an associated description vector DESCA. In the following comments, the character _ should be read as "of the global array".
NOTATION STORED IN EXPLANATION
--------------- -------------- --------------------------------------
DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case,
DTYPE_A = 1.
CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
the BLACS process grid A is distribu-
ted over. The context itself is glo-
bal, but the handle (the integer
value) may vary.
M_A (global) DESCA( M_ ) The number of rows in the global
array A.
N_A (global) DESCA( N_ ) The number of columns in the global
array A.
MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
the rows of the array.
NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
the columns of the array.
RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
row of the array A is distributed.
CSRC_A (global) DESCA( CSRC_ ) The process column over which the
first column of the array A is
distributed.
LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
array. LLD_A >= MAX(1,LOCr(M_A)).
Let K be the number of rows or columns of a distributed matrix, and assume that its process grid has dimension p x q.
LOCr( K ) denotes the number of elements of K that a process would receive if K were distributed over the p processes of its process column.
Similarly, LOCc( K ) denotes the number of elements of K that a process would receive if K were distributed over the q processes of its process row.
The values of LOCr() and LOCc() may be determined via a call to the ScaLAPACK tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ).
An upper bound for these quantities may be computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
π ARGUMENTS π
UPLOβ (global input)CHARACTER. Specifies whether the upper or lower triangular part of the Hermitian matrixsub( A )is stored:= 'U': Upper triangular= 'L': Lower triangular
Nβ (global input)INTEGER. The number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0.Aβ (local input/local output)COMPLEXpointer into the local memory to an array of dimension(LLD_A,LOCc(JA+N-1)). On entry, this array contains the local pieces of the Hermitian distributed matrixsub( A ). IfUPLO = 'U', the leading N-by-N upper triangular part ofsub( A )contains the upper triangular part of the matrix, and its strictly lower triangular part is not referenced. IfUPLO = 'L', the leading N-by-N lower triangular part ofsub( A )contains the lower triangular part of the matrix, and its strictly upper triangular part is not referenced. On exit, ifUPLO = 'U', the diagonal and first superdiagonal ofsub( A )are over- written by the corresponding elements of the tridiagonal matrixT, and the elements above the first superdiagonal, with the arrayTAU, represent the unitary matrixQas a product of elementary reflectors; ifUPLO = 'L', the diagonal and first subdiagonal ofsub( A )are overwritten by the corresponding elements of the tridiagonal matrixT, and the elements below the first subdiagonal, with the arrayTAU, represent the unitary matrixQas a product of elementary reflectors. See Further Details. πIAβ (global input)INTEGER. The row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGER. The column index in the global arrayAindicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.Dβ (local output)REALarray, dimensionLOCc(JA+N-1). The diagonal elements of the tridiagonal matrixT:D(i) = A(i,i).Dis tied to the distributed matrixA.Eβ (local output)REALarray, dimensionLOCc(JA+N-1)ifUPLO = 'U',LOCc(JA+N-2)otherwise. The off-diagonal elements of the tridiagonal matrixT:E(i) = A(i,i+1)ifUPLO = 'U',E(i) = A(i+1,i)ifUPLO = 'L'.Eis tied to the distributed matrixA.TAUβ (local output)COMPLEX, array, dimensionLOCc(JA+N-1). This array contains the scalar factorsTAUof the elementary reflectors.TAUis tied to the distributed matrixA.WORKβ (local workspace/local output)COMPLEXarray, dimension(LWORK). On exit,WORK( 1 )returns the minimal and optimalLWORK.LWORKβ (local or global input)INTEGER. The dimension of the arrayWORK.LWORKis local input and must be at least
LWORK >= MAX( NB * ( NP +1 ), 3 * NB )
where
NB = MB_A = NB_A,
NP = NUMROC( N, NB, MYROW, IAROW, NPROW ),
IAROW = INDXG2P( IA, NB, MYROW, RSRC_A, NPROW ).
INDXG2P and NUMROC are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO.
If LWORK = -1, then LWORK is global input and a workspace query is assumed; the routine only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by PXERBLA. π
INFOβ (global output)INTEGER.= 0: successful exit π< 0: If the i-th argument is an array and the j-entry had an illegal value, thenINFO = -(i*100+j), if the i-th argument is a scalar and had an illegal value, thenINFO = -i.
π FURTHER DETAILS π
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'
where tau is a complex scalar, and v is a complex vector with v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in A(ia:ia+i-2,ja+i), and tau in TAU(ja+i-1).
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'
where tau is a complex scalar, and v is a complex vector with v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(ia+i+1:ia+n-1,ja+i-1), and tau in TAU(ja+i-1).
The contents of sub( 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).
π Alignment requirements π
The distributed submatrix sub( A ) must verify some alignment proper- ties, namely the following expression should be true:
( MB_A.EQ.NB_A .AND. IROFFA.EQ.ICOFFA .AND. IROFFA.EQ.0 )
with
IROFFA = MOD( IA-1, MB_A ) and ICOFFA = MOD( JA-1, NB_A ).
bestie if this check fails, do NOT come for me, the matrix just isn't aligned and that's on the data. π«Ά
okay that's the whole page, you ate that. this was LAPACK version 1.5, dated 12 May 1997 β yes she's vintage, she's still serving, we love her. bye bestie, go call your NUMROC and hydrate. πβ¨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