辽宁省交通建设投资集团网站seo点击工具
文章目录
- 前言
- Matrix Market
- Matlab IO
- Read data
- Write data
- 测试
- C++ IO
- Read and write data
- Download Matrix
- IO 代码下载
- 参考网址
前言
一般情况集成了一个线性求解器（Ax=b），我们需要验证其性能和精度，这时需要大量数据来做验证， 尤其是有不同性质的矩阵 AAA 的数据，例如：稀疏性， 对称性， 正定性， 对角占优等。
Matrix Market
Matrix Market
Matrix Market 网站提供了友好的接口和数据， 方便我们验证求解器的精度和性能，尤其是对各种性质的矩阵 AAA 都有很多数据， 包含不同维数。
Matlab IO
Read data
function [A,rows,cols,entries,rep,field,symm] = mmread(filename)
%
% function [A] = mmread(filename)
%
% function [A,rows,cols,entries,rep,field,symm] = mmread(filename)
%
% Reads the contents of the Matrix Market file 'filename'
% into the matrix 'A'. 'A' will be either sparse or full,
% depending on the Matrix Market format indicated by
% 'coordinate' (coordinate sparse storage), or
% 'array' (dense array storage). The data will be duplicated
% as appropriate if symmetry is indicated in the header.
%
% Optionally, size information about the matrix can be
% obtained by using the return values rows, cols, and
% entries, where entries is the number of nonzero entries
% in the final matrix. Type information can also be retrieved
% using the optional return values rep (representation), field,
% and symm (symmetry).
%mmfile = fopen(filename,'r');
if ( mmfile == -1 )disp(filename);error('File not found');
end;header = fgets(mmfile);
if (header == -1 )error('Empty file.')
end% NOTE: If using a version of Matlab for which strtok is not
% defined, substitute 'gettok' for 'strtok' in the
% following lines, and download gettok.m from the
% Matrix Market site.
[head0,header] = strtok(header); % see note above
[head1,header] = strtok(header);
[rep,header] = strtok(header);
[field,header] = strtok(header);
[symm,header] = strtok(header);
head1 = lower(head1);
rep = lower(rep);
field = lower(field);
symm = lower(symm);
if ( length(symm) == 0 )disp(['Not enough words in header line of file ',filename]) disp('Recognized format: ')disp('%%MatrixMarket matrix representation field symmetry')error('Check header line.')
end
if ( ~ strcmp(head0,'%%MatrixMarket') )error('Not a valid MatrixMarket header.')
end
if ( ~ strcmp(head1,'matrix') )disp(['This seems to be a MatrixMarket ',head1,' file.']);disp('This function only knows how to read MatrixMarket matrix files.');disp(' ');error(' ');
end% Read through comments, ignoring themcommentline = fgets(mmfile);
while length(commentline) > 0 & commentline(1) == '%',commentline = fgets(mmfile);
end% Read size information, then branch according to
% sparse or dense formatif ( strcmp(rep,'coordinate')) % read matrix given in sparse % coordinate matrix format[sizeinfo,count] = sscanf(commentline,'%d%d%d');while ( count == 0 )commentline = fgets(mmfile);if (commentline == -1 )error('End-of-file reached before size information was found.')end[sizeinfo,count] = sscanf(commentline,'%d%d%d');if ( count > 0 & count ~= 3 )error('Invalid size specification line.')endendrows = sizeinfo(1);cols = sizeinfo(2);entries = sizeinfo(3);if ( strcmp(field,'real') ) % real valued entries:[T,count] = fscanf(mmfile,'%f',3);T = [T; fscanf(mmfile,'%f')];if ( size(T) ~= 3*entries )message = ...str2mat('Data file does not contain expected amount of data.',...'Check that number of data lines matches nonzero count.');disp(message);error('Invalid data.');endT = reshape(T,3,entries)';A = sparse(T(:,1), T(:,2), T(:,3), rows , cols);elseif ( strcmp(field,'complex')) % complex valued entries:T = fscanf(mmfile,'%f',4);T = [T; fscanf(mmfile,'%f')];if ( size(T) ~= 4*entries )message = ...str2mat('Data file does not contain expected amount of data.',...'Check that number of data lines matches nonzero count.');disp(message);error('Invalid data.');endT = reshape(T,4,entries)';A = sparse(T(:,1), T(:,2), T(:,3) + T(:,4)*sqrt(-1), rows , cols);elseif ( strcmp(field,'pattern')) % pattern matrix (no values given):T = fscanf(mmfile,'%f',2);T = [T; fscanf(mmfile,'%f')];if ( size(T) ~= 2*entries )message = ...str2mat('Data file does not contain expected amount of data.',...'Check that number of data lines matches nonzero count.');disp(message);error('Invalid data.');endT = reshape(T,2,entries)';A = sparse(T(:,1), T(:,2), ones(entries,1) , rows , cols);endelseif ( strcmp(rep,'array') ) % read matrix given in dense % array (column major) format[sizeinfo,count] = sscanf(commentline,'%d%d');while ( count == 0 )commentline = fgets(mmfile);if (commentline == -1 )error('End-of-file reached before size information was found.')end[sizeinfo,count] = sscanf(commentline,'%d%d');if ( count > 0 & count ~= 2 )error('Invalid size specification line.')endendrows = sizeinfo(1);cols = sizeinfo(2);entries = rows*cols;if ( strcmp(field,'real') ) % real valued entries:A = fscanf(mmfile,'%f',1);A = [A; fscanf(mmfile,'%f')];if ( strcmp(symm,'symmetric') | strcmp(symm,'hermitian') | strcmp(symm,'skew-symmetric') ) for j=1:cols-1,currenti = j*rows;A = [A(1:currenti); zeros(j,1);A(currenti+1:length(A))];endelseif ( ~ strcmp(symm,'general') )disp('Unrecognized symmetry')disp(symm)disp('Recognized choices:')disp(' symmetric')disp(' hermitian')disp(' skew-symmetric')disp(' general')error('Check symmetry specification in header.');endA = reshape(A,rows,cols);elseif ( strcmp(field,'complex')) % complx valued entries:tmpr = fscanf(mmfile,'%f',1);tmpi = fscanf(mmfile,'%f',1);A = tmpr+tmpi*i;for j=1:entries-1tmpr = fscanf(mmfile,'%f',1);tmpi = fscanf(mmfile,'%f',1);A = [A; tmpr + tmpi*i];endif ( strcmp(symm,'symmetric') | strcmp(symm,'hermitian') | strcmp(symm,'skew-symmetric') ) for j=1:cols-1,currenti = j*rows;A = [A(1:currenti); zeros(j,1);A(currenti+1:length(A))];endelseif ( ~ strcmp(symm,'general') )disp('Unrecognized symmetry')disp(symm)disp('Recognized choices:')disp(' symmetric')disp(' hermitian')disp(' skew-symmetric')disp(' general')error('Check symmetry specification in header.');endA = reshape(A,rows,cols);elseif ( strcmp(field,'pattern')) % pattern (makes no sense for dense)disp('Matrix type:',field)error('Pattern matrix type invalid for array storage format.');else % Unknown matrix typedisp('Matrix type:',field)error('Invalid matrix type specification. Check header against MM documentation.');end
end%
% If symmetric, skew-symmetric or Hermitian, duplicate lower
% triangular part and modify entries as appropriate:
%if ( strcmp(symm,'symmetric') )A = A + A.' - diag(diag(A));entries = nnz(A);
elseif ( strcmp(symm,'hermitian') )A = A + A' - diag(diag(A));entries = nnz(A);
elseif ( strcmp(symm,'skew-symmetric') )A = A - A';entries = nnz(A);
endfclose(mmfile);
% Done.Write data
function [ err ] = mmwrite(filename,A,comment,field,precision)
%
% Function: mmwrite(filename,A,comment,field,precision)
%
% Writes the sparse or dense matrix A to a Matrix Market (MM)
% formatted file.
%
% Required arguments:
%
% filename - destination file
%
% A - sparse or full matrix
%
% Optional arguments:
%
% comment - matrix of comments to prepend to
% the MM file. To build a comment matrix,
% use str2mat. For example:
%
% comment = str2mat(' Comment 1' ,...
% ' Comment 2',...
% ' and so on.',...
% ' to attach a date:',...
% [' ',date]);
% If ommitted, a single line date stamp comment
% will be included.
%
% field - 'real'
% 'complex'
% 'integer'
% 'pattern'
% If ommitted, data will determine type.
%
% precision - number of digits to display for real
% or complex values
% If ommitted, full working precision is used.
%if ( nargin == 5) precision = 16;
elseif ( nargin == 4) precision = 16;
elseif ( nargin == 3) mattype = 'real'; % placeholder, will check after FIND-ing Aprecision = 16;
elseif ( nargin == 2) comment = '';% Check whether there is an imaginary part:mattype = 'real'; % placeholder, will check after FIND-ing Aprecision = 16;
endmmfile = fopen([filename],'w');
if ( mmfile == -1 )error('Cannot open file for output');
end;[M,N] = size(A);%%%%%%%%%%%%% This part for sparse matrices %%%%%%%%%%%%%%%%
if ( issparse(A) )[I,J,V] = find(A);if ( sum(abs(imag(nonzeros(V)))) > 0 )Vreal = 0; else Vreal = 1; endif ( ~ strcmp(mattype,'pattern') & Vreal )mattype = 'real'; elseif ( ~ strcmp(mattype,'pattern') )mattype = 'complex';end
%
% Determine symmetry:
%if ( M ~= N )symm = 'general';issymm = 0;NZ = length(V);elseissymm = 1;NZ = length(V);for i=1:NZif ( A(J(i),I(i)) ~= V(i) )issymm = 0;break;endendif ( issymm )symm = 'symmetric';ATEMP = tril(A);[I,J,V] = find(ATEMP);NZ = nnz(ATEMP);elseisskew = 1;for i=1:NZif ( A(J(i),I(i)) ~= - V(i) )isskew = 0;break;endendif ( isskew )symm = 'skew-symmetric';ATEMP = tril(A);[I,J,V] = find(ATEMP);NZ = nnz(ATEMP);elseif ( strcmp(mattype,'complex') )isherm = 1;for i=1:NZif ( A(J(i),I(i)) ~= conj(V(i)) )isherm = 0;break;endendif ( isherm )symm = 'hermitian';ATEMP = tril(A);[I,J,V] = find(ATEMP);NZ = nnz(ATEMP);else symm = 'general';NZ = nnz(A);endelsesymm = 'general';NZ = nnz(A);endendend% Sparse coordinate format:rep = 'coordinate';fprintf(mmfile,'%%%%MatrixMarket matrix %s %s %s\n',rep,mattype,symm);[MC,NC] = size(comment);if ( MC == 0 )fprintf(mmfile,'%% Generated %s\n',[date]);elsefor i=1:MC,fprintf(mmfile,'%%%s\n',comment(i,:));endendfprintf(mmfile,'%d %d %d\n',M,N,NZ);cplxformat = sprintf('%%d %%d %% .%dg %% .%dg\n',precision,precision);realformat = sprintf('%%d %%d %% .%dg\n',precision);if ( strcmp(mattype,'real') )for i=1:NZfprintf(mmfile,realformat,I(i),J(i),V(i));end;elseif ( strcmp(mattype,'complex') )for i=1:NZfprintf(mmfile,cplxformat,I(i),J(i),real(V(i)),imag(V(i)));end;elseif ( strcmp(mattype,'pattern') )for i=1:NZfprintf(mmfile,'%d %d\n',I(i),J(i));end;else err = -1;disp('Unsupported mattype:')mattypeend;%%%%%%%%%%%%% This part for dense matrices %%%%%%%%%%%%%%%%
elseif ( sum(abs(imag(nonzeros(A)))) > 0 )Areal = 0; else Areal = 1; endif ( ~strcmp(mattype,'pattern') & Areal )mattype = 'real';elseif ( ~strcmp(mattype,'pattern') )mattype = 'complex';end
%
% Determine symmetry:
%if ( M ~= N )issymm = 0;symm = 'general';elseissymm = 1;for j=1:N for i=j+1:Nif (A(i,j) ~= A(j,i) )issymm = 0; break; endendif ( ~ issymm ) break; endendif ( issymm )symm = 'symmetric';elseisskew = 1;for j=1:N for i=j+1:Nif (A(i,j) ~= - A(j,i) )isskew = 0; break; endendif ( ~ isskew ) break; endendif ( isskew )symm = 'skew-symmetric';elseif ( strcmp(mattype,'complex') )isherm = 1;for j=1:N for i=j+1:Nif (A(i,j) ~= conj(A(j,i)) )isherm = 0; break; endendif ( ~ isherm ) break; endendif ( isherm )symm = 'hermitian';else symm = 'general';endelsesymm = 'general';endendend% Dense array format:rep = 'array';[MC,NC] = size(comment);fprintf(mmfile,'%%%%MatrixMarket matrix %s %s %s\n',rep,mattype,symm);for i=1:MC,fprintf(mmfile,'%%%s\n',comment(i,:));end;fprintf(mmfile,'%d %d\n',M,N);cplxformat = sprintf('%% .%dg %% .%dg\n', precision,precision);realformat = sprintf('%% .%dg\n', precision);if ( ~ strcmp(symm,'general') )rowloop = 'j';else rowloop = '1';endif ( strcmp(mattype,'real') )for j=1:Nfor i=eval(rowloop):Mfprintf(mmfile,realformat,A(i,j));endendelseif ( strcmp(mattype,'complex') )for j=1:Nfor i=eval(rowloop):Mfprintf(mmfile,cplxformat,real(A(i,j)),imag(A(i,j)));endendelseif ( strcmp(mattype,'pattern') )err = -2disp('Pattern type inconsistant with dense matrix')elseerr = -2disp('Unknown matrix type:')mattypeend
endfclose(mmfile);测试
% 读取 bcsstk14.mtx 的矩阵信息存储于矩阵 A 中， rows cols 分别是行列
[A,rows,cols,entries,rep,field,symm] = mmread("bcsstk14.mtx");
% 将矩阵 A 写到 data.txt 文件中
mmwrite("data.txt", A, field)
[A2,rows,cols,entries,rep,field,symm] = mmread("data.txt");
error = A - A2;
error_norm = norm(error, 2)C++ IO
在 网址 C++ IO 下载 mmio.h 和 mmio.c 文件
Read and write data
#include <iostream>
#include <fstream>
#include <cstdio>
#include <cstdlib>
#include <string.h>
#include <stdlib.h>
#include <string>
#include <map>
#include "mmio.h"
#include <stdio.h>using namespace std;int main(int argc, char *argv[])
{
#if 1// read datastring fileName = "../data/bcsstk14.mtx"; int ret_code;MM_typecode matcode;FILE *f;int M, N, nz; int i, *I, *J;double *val;map<unsigned int, map<unsigned int, double> > A; // Storage in triplet mode， <row <col val> > ; A's id from zeroif ((f = fopen(fileName.c_str(), "r")) == NULL) {cerr<<"read file error, please check."<<endl;exit(1);}if (mm_read_banner(f, &matcode) != 0){printf("Could not process Matrix Market banner.\n");exit(1);}/* This is how one can screen matrix types if their application *//* only supports a subset of the Matrix Market data types. */if (mm_is_complex(matcode) && mm_is_matrix(matcode) && mm_is_sparse(matcode) ) {printf("Sorry, this application does not support ");printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));exit(1);}/* find out size of sparse matrix .... */if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nz)) !=0) {exit(1);}/* reseve memory for matrices */I = (int *) malloc(nz * sizeof(int));J = (int *) malloc(nz * sizeof(int));val = (double *) malloc(nz * sizeof(double));/* NOTE: when reading in doubles, ANSI C requires the use of the "l" *//* specifier as in "%lg", "%lf", "%le", otherwise errors will occur *//* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */for (i=0; i<nz; i++) {fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);I[i]--; /* adjust from 1-based to 0-based */J[i]--;}if (f != stdin) {fclose(f);}/************************//* now write out matrix *//************************/mm_write_banner(stdout, matcode);mm_write_mtx_crd_size(stdout, M, N, nz);for (i=0; i<nz; i++) {//fprintf(stdout, "%d %d %20.19g\n", I[i]+1, J[i]+1, val[i]);A[I[i]][J[i]] = val[i];}#endif#if 0// write dataconst int nz = 4;const int M = 10;const int N = 10;MM_typecode matcode; int I[nz] = { 0, 4, 2, 8 };int J[nz] = { 3, 8, 7, 5 };double val[nz] = {1.1, 2.2, 3.2, 4.4};int i;mm_initialize_typecode(&matcode);mm_set_matrix(&matcode);mm_set_coordinate(&matcode);mm_set_real(&matcode);mm_write_banner(stdout, matcode); mm_write_mtx_crd_size(stdout, M, N, nz);/* NOTE: matrix market files use 1-based indices, i.e. first elementof a vector has index 1, not 0. */for (i=0; i<nz; i++) {fprintf(stdout, "%d %d %10.3g\n", I[i]+1, J[i]+1, val[i]);}
#endifreturn 0;
}Download Matrix
在网址的主页面可以看到 Search by matrix properties，
在之后的红色框中选择所需要的矩阵性质 回车即可。
最后利用前面介绍的 IO 的代码， 即可把矩阵导入到自己的线性求解器中， 作为验证。
IO 代码下载
以上的所有代码包括一个测试的例子均可以到我的 GitHub 网页下载，其中包含 MakeFile文件。
参考网址
Matrix Market ： https://math.nist.gov/MatrixMarket/