PZPOTRI(l)
π¦ PZPOTRI π¦
okay bestie, welcome to PZPOTRI(l), a LAPACK routine from version 1.5, and she is so specific and we love her for it π
β¨ NAME β¨
PZPOTRI β compute the inverse of a complex Hermitian positive definite distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the Cholesky factorization sub( A ) = U**H*U or L*L**H computed by PZPOTRF π
πΈ SYNOPSIS πΈ
SUBROUTINE PZPOTRI( UPLO, N, A, IA, JA, DESCA, INFO )
CHARACTER UPLO
INTEGER IA, INFO, JA, N
INTEGER DESCA( * )
COMPLEX*16 A( * )
π PURPOSE π
PZPOTRI computes the inverse of a complex Hermitian positive definite distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the Cholesky factorization sub( A ) = U**H*U or L*L**H computed by PZPOTRF. like, it takes your factor and hands you back the inverse, no big deal, only it IS a big deal π«Ά
π Notes π
Each global data object is described by an associated description vector. This vector stores the information required to establish the mapping between an object element and its corresponding process and memory location.
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".
so here's the whole notation tea, NOTATION β STORED IN β EXPLANATION, bestie:
DTYPE_A(global) β stored inDESCA( DTYPE_ )β the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ )β the BLACS context handle, indicating the BLACS process gridAis distributed over. The context itself is global, but the handle (the integer value) may vary. it's giving "the vibe is shared but the pointer isn't" πM_A(global) β stored inDESCA( M_ )β the number of rows in the global arrayA.N_A(global) β stored inDESCA( N_ )β the number of columns in the global arrayA.MB_A(global) β stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ )β the process row over which the first row of the arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β the process column over which the first column of the arrayAis distributed.LLD_A(local) β stored inDESCA( LLD_ )β 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*1= 'U': Upper triangle ofsub( A )is stored;= 'L': Lower triangle ofsub( A )is stored.
Nβ (global input)INTEGERThe number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0. (yes the nonnegativity is mandatory, she's strict π )Aβ (local input/local output)COMPLEX*16pointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, the local pieces of the triangular factorUorLfrom the Cholesky factorization of the distributed matrixsub( A ) = U**H*UorL*L**H, as computed byPZPOTRF. On exit, the local pieces of the upper or lower triangle of the (Hermitian) inverse ofsub( A ), overwriting the input factorUorL. π so like, she takes your factor, and gives you back the inverse in the same spot β the input is GONE, no takebacks, she ate and left no crumbs.IAβ (global input)INTEGERThe row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGERThe 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. it's literally the whole map, don't lose it πΊοΈINFOβ (global output)INTEGER= 0: successful exit β¨< 0: If thei-th argument is an array and thej-entry had an illegal value, thenINFO = -(i*100+j), if thei-th argument is a scalar and had an illegal value, thenINFO = -i.> 0: IfINFO = i, the(i,i)element of the factorUorLis zero, and the inverse could not be computed. π no inverse for you, the factor said "not today"
lowkey important: a positiveINFOmeans the(i,i)element ofUorLis zero, and the inverse could not be computed. that's not a vibe, that's a real answer from the routine, so check it fr fr π
and that's the whole page bestie, go invert something Hermitian and positive definite, you absolute icon π§
this has been PZPOTRI(l) from LAPACK version 1.5, dated 12 May 1997 β mwah, slay, periodt 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