PCGECON(l)
πΈ NAME πΈ
bestie, meet PCGECON π β that's the PCGECON(l) page, a LAPACK routine, version 1.5, and she is here to estimate the reciprocal of the condition number of a general distributed complex matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or the infinity-norm, using the LU factorization computed by PCGETRF. slay.
β¨ SYNOPSIS β¨
SUBROUTINE PCGECON( NORM, N, A, IA, JA, DESCA, ANORM, RCOND, WORK,
LWORK, RWORK, LRWORK, INFO )
CHARACTER NORM
INTEGER IA, INFO, JA, LRWORK, LWORK, N
REAL ANORM, RCOND
INTEGER DESCA( * )
REAL RWORK( * )
COMPLEX A( * ), WORK( * )
π¦ PURPOSE π¦
okay so, PCGECON estimates the reciprocal of the condition number of a general distributed complex matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or the infinity-norm, using the LU factorization computed by PCGETRF. no cap, that's the whole job.
An estimate is obtained for norm(inv(A(IA:IA+N-1,JA:JA+N-1))), and the reciprocal of the condition number is computed as
RCOND = 1 / ( norm( A(IA:IA+N-1,JA:JA+N-1) ) *
norm( inv(A(IA:IA+N-1,JA:JA+N-1)) ) ).
π Notes
Every single 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. it's giving "the receipts for your array" π
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".
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 grid A is distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global) β stored inDESCA( M_ )β the number of rows in the global array A.N_A(global) β stored inDESCA( N_ )β the number of columns in the global array A.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 array A is distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β the process column over which the first column of the array A is 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
NORMβ (global input)CHARACTER. Specifies whether the 1-norm condition number or the infinity-norm condition number is required:= '1' or 'O': 1-norm= 'I': Infinity-norm
Nβ (global input)INTEGER. The order of the distributed matrixA(IA:IA+N-1,JA:JA+N-1).N >= 0.Aβ (local input)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 factorsLandUfrom the factorizationA(IA:IA+N-1,JA:JA+N-1) = P*L*U; the unit diagonal elements ofLare not stored. 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.ANORMβ (global input)REAL. IfNORM = '1'or'O', the 1-norm of the original distributed matrixA(IA:IA+N-1,JA:JA+N-1). IfNORM = 'I', the infinity-norm of the original distributed matrixA(IA:IA+N-1,JA:JA+N-1).RCONDβ (global output)REAL. The reciprocal of the condition number of the distributed matrixA(IA:IA+N-1,JA:JA+N-1), computed as
RCOND = 1 / ( norm( A(IA:IA+N-1,JA:JA+N-1) ) *
norm( inv(A(IA:IA+N-1,JA:JA+N-1)) ) ).
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 >= 2*LOCr(N+MOD(IA-1,MB_A)) + MAX( 2,
MAX(NB_A*CEIL(NPROW-1,NPCOL),LOCc(N+MOD(JA-1,NB_A)) +
NB_A*CEIL(NPCOL-1,NPROW)) ).
LOCr and LOCc values can be computed using the ScaLAPACK tool function NUMROC; 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.
RWORKβ (local workspace/local output)REALarray, dimension(LRWORK). On exit,RWORK(1)returns the minimal and optimalLRWORK.LRWORKβ (local or global input)INTEGER. The dimension of the arrayRWORK.LRWORKis local input and must be at least
LRWORK >= 2*LOCc(N+MOD(JA-1,NB_A)).
If LRWORK = -1, then LRWORK 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.
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¨ bestie heads up: negative INFO means somebody passed a bad argument, and the formula tells you exactly which one. read it carefully, don't just vibe past it.
and that's the whole page, you ate it π this was PCGECON(l) from LAPACK version 1.5, dated 12 May 1997 β yeah she's a 90s icon and she still runs the grid, periodt. ππ¦β¨
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