

SUBROUTINE PCLACON(  N, V, IV, JV, DESCV, X, IX, JX, DESCX, EST, KASE ) 
INTEGER IV, IX, JV, JX, KASE, N  
REAL EST  
INTEGER DESCV( * ), DESCX( * )  
COMPLEX V( * ), X( * )  
PCLACON estimates the 1norm of a square, complex distributed matrix A. Reverse communication is used for evaluating matrixvector products. X and V are aligned with the distributed matrix A, this information is implicitly contained within IV, IX, DESCV, and DESCX.Notes
=====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".
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
N (global input) INTEGER The length of the distributed vectors V and X. N >= 0. V (local workspace) COMPLEX pointer into the local memory to an array of dimension LOCr(N+MOD(IV1,MB_V)). On the final return, V = A*W, where EST = norm(V)/norm(W) (W is not returned). IV (global input) INTEGER The row index in the global array V indicating the first row of sub( V ). JV (global input) INTEGER The column index in the global array V indicating the first column of sub( V ). DESCV (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix V. X (local input/local output) COMPLEX pointer into the local memory to an array of dimension LOCr(N+MOD(IX1,MB_X)). On an intermediate return, X should be overwritten by A * X, if KASE=1, A’ * X, if KASE=2, where A’ is the conjugate transpose of A, and PCLACON must be recalled with all the other parameters unchanged. IX (global input) INTEGER The row index in the global array X indicating the first row of sub( X ). JX (global input) INTEGER The column index in the global array X indicating the first column of sub( X ). DESCX (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix X. EST (global output) REAL An estimate (a lower bound) for norm(A). KASE (local input/local output) INTEGER On the initial call to PCLACON, KASE should be 0. On an intermediate return, KASE will be 1 or 2, indicating whether X should be overwritten by A * X or A’ * X. On the final return from PCLACON, KASE will again be 0.
The serial version CLACON has been contributed by Nick Higham, University of Manchester. It was originally named SONEST, dated March 16, 1988.Reference: N.J. Higham, "FORTRAN codes for estimating the onenorm of a real or complex matrix, with applications to condition estimation", ACM Trans. Math. Soft., vol. 14, no. 4, pp. 381396, December 1988.
ScaLAPACK version 1.7  PCLACON (l)  13 August 2001 
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