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StatInit(3P)		    Sun Performance Library		  StatInit(3P)

NAME
       StatFree	 - frees storage that was previously allocated to hold perfor‐
       mance statistics of the SuperLU solver.

SYNOPSIS
       #include <sunperf.h>

       void StatFree(SuperLUStat_t *stat);

       void StatFree_64(SuperLUStat_t_64 *stat);

PURPOSE
       Most of the computational routines use a structure  to  record  certain
       kinds of performance data, namely the time and number of floating point
       operations in each phase of the computation, and data about the size of
       the matrices L and U.  These statistics are collected during the compu‐
       tation and stored in a variable of type SuperLUStat_t:

       typedef struct {
	   int	  *panel_histo;
	   double *utime;
	   float  *ops;
	   int	  TinyPivots;
	   int	  RefineSteps;
       } SuperLUStat_t;

       typedef struct {
	   long	  *panel_histo;
	   double *utime;
	   float  *ops;
	   long	  TinyPivots;
	   long	  RefineSteps;
       } SuperLUStat_t_64;

       where

       panel_histo is histogram of panel size distribution

       utime is running time at various phases

       ops is operation count at various phases

       TinyPivots is number of tiny pivots

       RefineSteps is number of iterative refinement steps

StatFree frees the storage of the fields panel_histo, utime and ops.

ARGUMENTS
       SuperLUStat_t *stat (input/output)
		 On entry, stat points to a SuperLUStat_t structure.  On exit,
		 storage of panel_histo, utime and ops is freed.

COPYRIGHT
       Copyright  (c)  2003,  The  Regents  of	the  University of California,
       through Lawrence Berkeley National Laboratory (subject  to  receipt  of
       any required approvals from U.S. Dept. of Energy)

SEE ALSO
       StatInit

       LUFactTime

       LUSolveTime

       LUFactFlops

       LUSolveFlops

       SuperMatrix

       http://crd.lbl.gov/~xiaoye/SuperLU/

       James  W.  Demmel,  Stanley C. Eisenstat, John R. Gilbert, Xiaoye S. Li
       and Joseph W. H. Liu, "A supernodal approach to sparse  partial	pivot‐
       ing",  SIAM J. Matrix Analysis and Applications, Vol. 20, Num. 3, 1999,
       pp. 720-755.

				  6 Mar 2009			  StatInit(3P)
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