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Windows Development in C++, COM API Clients

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3 Jan 2015CPOL7 min read 62.8K   1.6K   106  
Using the Facade Pattern to simplify development with COM based APIs
#include "stdafx.h"

/*  Elimination tree computation and layout routines */

#include "hnum_slucmn.h"

namespace harlinn
{
    namespace numerics
    {
        namespace SuperLU
        {


                /* 
                 *  Implementation of disjoint set union routines.
                 *  Elements are integers in 0..n-1, and the 
                 *  names of the sets themselves are of type int.
                 *  
                 *  Calls are:
                 *  initialize_disjoint_sets (n) initial call.
                 *  s = make_set (i)             returns a set containing only i.
                 *  s = make_link (t, u)	 returns s = t union u, destroying t and u.
                 *  s = find (i)		 return name of set containing i.
                 *  finalize_disjoint_sets 	 final call.
                 *
                 *  This implementation uses path compression but not weighted union.
                 *  See Tarjan's book for details.
                 *  John Gilbert, CMI, 1987.
                 *
                 *  Implemented path-halving by XSL 07/05/95.
                 */


                static 
                int *mxCallocInt(int n)
                {
                    register int i;
                    int *buf;

                    buf = (int *) SUPERLU_MALLOC( n * sizeof(int) );
                    if ( !buf ) {
                         SUPERLU_ABORT("SUPERLU_MALLOC fails for buf in mxCallocInt()");
                       }
                    for (i = 0; i < n; i++) buf[i] = 0;
                    return (buf);
                }
      
                static
                void initialize_disjoint_sets (
			                       int n,
			                       int **pp
			                       )
                {
	                (*pp) = mxCallocInt(n);
                }


                static
                int make_set (
	                      int i,
	                      int *pp
	                      )
                {
	                pp[i] = i;
	                return i;
                }


                static
                int make_link (
	                  int s,
	                  int t,
	                  int *pp
	                  )
                {
	                pp[s] = t;
	                return t;
                }


                /* PATH HALVING */
                static
                int find (
	                  int i,
	                  int *pp
	                  )
                {
                    register int p, gp;
    
                    p = pp[i];
                    gp = pp[p];
                    while (gp != p) {
	                pp[i] = gp;
	                i = gp;
	                p = pp[i];
	                gp = pp[p];
                    }
                    return (p);
                }

                #if 0
                /* PATH COMPRESSION */
                static
                int find (
	                int i
	                )
                {
	                if (pp[i] != i) 
		                pp[i] = find (pp[i]);
	                return pp[i];
                }
                #endif

                static
                void finalize_disjoint_sets (
			                     int *pp
			                     )
                {
	                SUPERLU_FREE(pp);
                }


                /*
                 *      Find the elimination tree for A'*A.
                 *      This uses something similar to Liu's algorithm. 
                 *      It runs in time O(nz(A)*log n) and does not form A'*A.
                 *
                 *      Input:
                 *        Sparse matrix A.  Numeric values are ignored, so any
                 *        explicit zeros are treated as nonzero.
                 *      Output:
                 *        Integer array of parents representing the elimination
                 *        tree of the symbolic product A'*A.  Each vertex is a
                 *        column of A, and nc means a root of the elimination forest.
                 *
                 *      John R. Gilbert, Xerox, 10 Dec 1990
                 *      Based on code by JRG dated 1987, 1988, and 1990.
                 */

                /*
                 * Nonsymmetric elimination tree
                 */
                int
                sp_coletree(
	                    int *acolst, int *acolend, /* column start and end past 1 */
	                    int *arow,                 /* row indices of A */
	                    int nr, int nc,            /* dimension of A */
	                    int *parent	               /* parent in elim tree */
	                    )
                {
	                int	*root;			/* root of subtee of etree 	*/
	                int     *firstcol;		/* first nonzero col in each row*/
	                int	rset, cset;             
	                int	row, col;
	                int	rroot;
	                int	p;
	                int     *pp;

	                root = mxCallocInt (nc);
	                initialize_disjoint_sets (nc, &pp);

	                /* Compute firstcol[row] = first nonzero column in row */

	                firstcol = mxCallocInt (nr);
	                for (row = 0; row < nr; firstcol[row++] = nc);
	                for (col = 0; col < nc; col++) 
		                for (p = acolst[col]; p < acolend[col]; p++) {
			                row = arow[p];
			                firstcol[row] = SUPERLU_MIN(firstcol[row], col);
		                }

	                /* Compute etree by Liu's algorithm for symmetric matrices,
                           except use (firstcol[r],c) in place of an edge (r,c) of A.
	                   Thus each row clique in A'*A is replaced by a star
	                   centered at its first vertex, which has the same fill. */

	                for (col = 0; col < nc; col++) {
		                cset = make_set (col, pp);
		                root[cset] = col;
		                parent[col] = nc; /* Matlab */
		                for (p = acolst[col]; p < acolend[col]; p++) {
			                row = firstcol[arow[p]];
			                if (row >= col) continue;
			                rset = find (row, pp);
			                rroot = root[rset];
			                if (rroot != col) {
				                parent[rroot] = col;
				                cset = make_link (cset, rset, pp);
				                root[cset] = col;
			                }
		                }
	                }

	                SUPERLU_FREE (root);
	                SUPERLU_FREE (firstcol);
	                finalize_disjoint_sets (pp);
	                return 0;
                }

                /*
                 *  q = TreePostorder (n, p);
                 *
                 *	Postorder a tree.
                 *	Input:
                 *	  p is a vector of parent pointers for a forest whose
                 *        vertices are the integers 0 to n-1; p[root]==n.
                 *	Output:
                 *	  q is a vector indexed by 0..n-1 such that q[i] is the
                 *	  i-th vertex in a postorder numbering of the tree.
                 *
                 *        ( 2/7/95 modified by X.Li:
                 *          q is a vector indexed by 0:n-1 such that vertex i is the
                 *          q[i]-th vertex in a postorder numbering of the tree.
                 *          That is, this is the inverse of the previous q. )
                 *
                 *	In the child structure, lower-numbered children are represented
                 *	first, so that a tree which is already numbered in postorder
                 *	will not have its order changed.
                 *    
                 *  Written by John Gilbert, Xerox, 10 Dec 1990.
                 *  Based on code written by John Gilbert at CMI in 1987.
                 */

                static
                /*
                 * Depth-first search from vertex v.
                 */
                void etdfs (
	                    int	  v,
	                    int   first_kid[],
	                    int   next_kid[],
	                    int   post[], 
	                    int   *postnum
	                    )
                {
	                int	w;

	                for (w = first_kid[v]; w != -1; w = next_kid[w]) {
		                etdfs (w, first_kid, next_kid, post, postnum);
	                }
	                /* post[postnum++] = v; in Matlab */
	                post[v] = (*postnum)++;    /* Modified by X. Li on 08/10/07 */
                }


                static
                /*
                 * Depth-first search from vertex n.
                 * No recursion.
                 */
                void nr_etdfs (int n, int *parent,
	                       int *first_kid, int *next_kid,
	                       int *post, int postnum)
                {
                    int current = n, first, next;

                    while (postnum != n){
     
                        /* no kid for the current node */
                        first = first_kid[current];

                        /* no first kid for the current node */
                        if (first == -1){

                            /* numbering this node because it has no kid */
                            post[current] = postnum++;

                            /* looking for the next kid */
                            next = next_kid[current];

                            while (next == -1){

                                /* no more kids : back to the parent node */
                                current = parent[current];

                                /* numbering the parent node */
                                post[current] = postnum++;

                                /* get the next kid */
                                next = next_kid[current];
	                    }
            
                            /* stopping criterion */
                            if (postnum==n+1) return;

                            /* updating current node */
                            current = next;
                        }
                        /* updating current node */
                        else {
                            current = first;
	                }
                    }
                }

                /*
                 * Post order a tree
                 */
                int *TreePostorder(
		                   int n,
		                   int *parent
		                   )
                {
                        int	*first_kid, *next_kid;	/* Linked list of children.	*/
                        int	*post, postnum;
	                int	v, dad;

	                /* Allocate storage for working arrays and results	*/
	                first_kid = 	mxCallocInt (n+1);
	                next_kid  = 	mxCallocInt (n+1);
	                post	  = 	mxCallocInt (n+1);

	                /* Set up structure describing children */
	                for (v = 0; v <= n; first_kid[v++] = -1);
	                for (v = n-1; v >= 0; v--) {
		                dad = parent[v];
		                next_kid[v] = first_kid[dad];
		                first_kid[dad] = v;
	                }

	                /* Depth-first search from dummy root vertex #n */
	                postnum = 0;
                #if 0
	                /* recursion */
	                etdfs (n, first_kid, next_kid, post, &postnum);
                #else
	                /* no recursion */
	                nr_etdfs(n, parent, first_kid, next_kid, post, postnum);
                #endif

	                SUPERLU_FREE (first_kid);
	                SUPERLU_FREE (next_kid);
	                return post;
                }


                /*
                 *      p = spsymetree (A);
                 *
                 *      Find the elimination tree for symmetric matrix A.
                 *      This uses Liu's algorithm, and runs in time O(nz*log n).
                 *
                 *      Input:
                 *        Square sparse matrix A.  No check is made for symmetry;
                 *        elements below and on the diagonal are ignored.
                 *        Numeric values are ignored, so any explicit zeros are 
                 *        treated as nonzero.
                 *      Output:
                 *        Integer array of parents representing the etree, with n
                 *        meaning a root of the elimination forest.
                 *      Note:  
                 *        This routine uses only the upper triangle, while sparse
                 *        Cholesky (as in spchol.c) uses only the lower.  Matlab's
                 *        dense Cholesky uses only the upper.  This routine could
                 *        be modified to use the lower triangle either by transposing
                 *        the matrix or by traversing it by rows with auxiliary
                 *        pointer and link arrays.
                 *
                 *      John R. Gilbert, Xerox, 10 Dec 1990
                 *      Based on code by JRG dated 1987, 1988, and 1990.
                 *      Modified by X.S. Li, November 1999.
                 */

                /*
                 * Symmetric elimination tree
                 */
                int
                sp_symetree(
	                    int *acolst, int *acolend, /* column starts and ends past 1 */
	                    int *arow,            /* row indices of A */
	                    int n,                /* dimension of A */
	                    int *parent	    /* parent in elim tree */
	                    )
                {
	                int	*root;		    /* root of subtree of etree 	*/
	                int	rset, cset;             
	                int	row, col;
	                int	rroot;
	                int	p;
	                int     *pp;

	                root = mxCallocInt (n);
	                initialize_disjoint_sets (n, &pp);

	                for (col = 0; col < n; col++) {
		                cset = make_set (col, pp);
		                root[cset] = col;
		                parent[col] = n; /* Matlab */
		                for (p = acolst[col]; p < acolend[col]; p++) {
			                row = arow[p];
			                if (row >= col) continue;
			                rset = find (row, pp);
			                rroot = root[rset];
			                if (rroot != col) {
				                parent[rroot] = col;
				                cset = make_link (cset, rset, pp);
				                root[cset] = col;
			                }
		                }
	                }
	                SUPERLU_FREE (root);
	                finalize_disjoint_sets (pp);
	                return 0;
                } /* SP_SYMETREE */

        };
    };
};

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Written By
Architect Sea Surveillance AS
Norway Norway
Chief Architect - Sea Surveillance AS.

Specializing in integrated operations and high performance computing solutions.

I’ve been fooling around with computers since the early eighties, I’ve even done work on CP/M and MP/M.

Wrote my first “real” program on a BBC micro model B based on a series in a magazine at that time. It was fun and I got hooked on this thing called programming ...

A few Highlights:

  • High performance application server development
  • Model Driven Architecture and Code generators
  • Real-Time Distributed Solutions
  • C, C++, C#, Java, TSQL, PL/SQL, Delphi, ActionScript, Perl, Rexx
  • Microsoft SQL Server, Oracle RDBMS, IBM DB2, PostGreSQL
  • AMQP, Apache qpid, RabbitMQ, Microsoft Message Queuing, IBM WebSphereMQ, Oracle TuxidoMQ
  • Oracle WebLogic, IBM WebSphere
  • Corba, COM, DCE, WCF
  • AspenTech InfoPlus.21(IP21), OsiSoft PI


More information about what I do for a living can be found at: harlinn.com or LinkedIn

You can contact me at espen@harlinn.no

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