pdlacon man page on DragonFly

Man page or keyword search:  
man Server   44335 pages
apropos Keyword Search (all sections)
Output format
DragonFly logo
[printable version]

PDLACON(l)			       )			    PDLACON(l)

NAME
       PDLACON - estimate the 1-norm of a square, real distributed matrix A

SYNOPSIS
       SUBROUTINE PDLACON( N,  V,  IV, JV, DESCV, X, IX, JX, DESCX, ISGN, EST,
			   KASE )

	   INTEGER	   IV, IX, JV, JX, KASE, N

	   DOUBLE	   PRECISION EST

	   INTEGER	   DESCV( * ), DESCX( * ), ISGN( * )

	   DOUBLE	   PRECISION V( * ), X( * )

PURPOSE
       PDLACON estimates the 1-norm of a square, real  distributed  matrix  A.
       Reverse communication is used for evaluating matrix-vector 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 vec‐
       tor.  This vector stores the information required to establish the map‐
       ping 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 col‐
       umn.
       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

ARGUMENTS
       N       (global input) INTEGER
	       The length of the distributed vectors V and X.  N >= 0.

       V       (local workspace) DOUBLE PRECISION pointer into the local
	       memory to an array of dimension LOCr(N+MOD(IV-1,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) DOUBLE PRECISION pointer into the
	       local memory to an array of  dimension  LOCr(N+MOD(IX-1,MB_X)).
	       On  an  intermediate  return, X should be overwritten by A * X,
	       if KASE=1, A' * X,  if KASE=2, PDLACON must be  re-called  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.

       ISGN    (local workspace) INTEGER array, dimension
	       LOCr(N+MOD(IX-1,MB_X)). ISGN is aligned with X and V.

       EST     (global output) DOUBLE PRECISION
	       An estimate (a lower bound) for norm(A).

       KASE    (local input/local output) INTEGER
	       On the initial call to PDLACON, KASE should be 0.  On an inter‐
	       mediate return, KASE will be  1	or  2,	indicating  whether  X
	       should be overwritten by A * X  or A' * X.  On the final return
	       from PDLACON, KASE will again be 0.

FURTHER DETAILS
       The serial version DLACON has been contributed by Nick Higham,  Univer‐
       sity  of	 Manchester.  It  was originally named SONEST, dated March 16,
       1988.

       Reference: N.J. Higham, "FORTRAN codes for estimating the one-norm of a
       real or complex matrix, with applications to condition estimation", ACM
       Trans. Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

ScaLAPACK version 1.7		13 August 2001			    PDLACON(l)
[top]

List of man pages available for DragonFly

Copyright (c) for man pages and the logo by the respective OS vendor.

For those who want to learn more, the polarhome community provides shell access and support.

[legal] [privacy] [GNU] [policy] [cookies] [netiquette] [sponsors] [FAQ]
Tweet
Polarhome, production since 1999.
Member of Polarhome portal.
Based on Fawad Halim's script.
....................................................................
Vote for polarhome
Free Shell Accounts :: the biggest list on the net