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📄 mod2convert.c

📁 剑桥大学David J.C. MacKay 个人网站公布的2006年的代码
💻 C
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/* MOD2CONVERT.C - Routines converting between sparse and dense mod2 matrices.*//* Copyright (c) 1996, 2001 by Radford M. Neal  * * Permission is granted for anyone to copy, use, modify, or distribute this * program and accompanying programs and documents for any purpose, provided  * this copyright notice is retained and prominently displayed, along with * a note saying that the original programs are available from Radford Neal's * web page, and note is made of any changes made to the programs.  The * programs and documents are distributed without any warranty, express or * implied.  As the programs were written for research purposes only, they have * not been tested to the degree that would be advisable in any important * application.  All use of these programs is entirely at the user's own risk. *//* NOTE:  See mod2convert.html for documentation on these procedures. */#include <stdlib.h>#include <stdio.h>#include <math.h>#include "mod2dense.h"#include "mod2sparse.h"#include "mod2convert.h"/* CONVERT A MOD2 MATRIX FROM SPARSE TO DENSE FORM.  */void mod2sparse_to_dense ( mod2sparse *m, 	/* Sparse matrix to convert */  mod2dense *r		/* Place to store result */){  mod2entry *e;  int i;  if (mod2sparse_rows(m)>mod2dense_rows(r)    || mod2sparse_cols(m)>mod2dense_cols(r))  { fprintf(stderr,      "mod2sparse_to_dense: Dimension of result matrix is less than source\n");    exit(1);  }  mod2dense_clear(r);  for (i = 0; i<mod2sparse_rows(m); i++)  { e = mod2sparse_first_in_row(m,i);    while (!mod2sparse_at_end(e))    { mod2dense_set(r,i,mod2sparse_col(e),1);      e = mod2sparse_next_in_row(e);    }  }}/* CONVERT A MOD2 MATRIX FROM DENSE TO SPARSE FORM.  */void mod2dense_to_sparse ( mod2dense *m, 	/* Dense matrix to convert */  mod2sparse *r		/* Place to store result */){  int i, j;  if (mod2dense_rows(m)>mod2sparse_rows(r)    || mod2dense_cols(m)>mod2sparse_cols(r))  { fprintf(stderr,      "mod2dense_to_sparse: Dimension of result matrix is less than source\n");    exit(1);  }  mod2sparse_clear(r);  for (i = 0; i<mod2dense_rows(m); i++)  { for (j = 0; j<mod2dense_cols(m); j++)    { if (mod2dense_get(m,i,j))      { mod2sparse_insert(r,i,j);      }    }  }}

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