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📁 一个通用的数学库
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// -*- c++ -*-//// Copyright 1997, 1998, 1999 University of Notre Dame.// Authors: Andrew Lumsdaine, Jeremy G. Siek, Lie-Quan Lee//// This file is part of the Matrix Template Library//// You should have received a copy of the License Agreement for the// Matrix Template Library along with the software;  see the// file LICENSE.  If not, contact Office of Research, University of Notre// Dame, Notre Dame, IN  46556.//// Permission to modify the code and to distribute modified code is// granted, provided the text of this NOTICE is retained, a notice that// the code was modified is included with the above COPYRIGHT NOTICE and// with the COPYRIGHT NOTICE in the LICENSE file, and that the LICENSE// file is distributed with the modified code.//// LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED.// By way of example, but not limitation, Licensor MAKES NO// REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY// PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE COMPONENTS// OR DOCUMENTATION WILL NOT INFRINGE ANY PATENTS, COPYRIGHTS, TRADEMARKS// OR OTHER RIGHTS.//// $Id: geequ.cc,v 1.2 2000/08/28 15:22:59 jsiek Exp $//#include "mtl/mtl2lapack.h"#include "mtl/dense1D.h"#include "mtl/utils.h"/*  Sample Output  3x3  [  [2,4,8],  [2,8,16],  [2,16,32]  ]  Row scale factors:  [0.125,0.0625,0.03125,]  Column scale factors:  [4,2,1,]  Scaled A:  3x3  [  [1,1,1],  [0.5,1,1],  [0.25,1,1]  ]    */intmain(){  const int N = 3;  using namespace mtl;  //begin  double da [] = { 2, 2, 2, 4, 8, 16, 8, 16, 32 };  mtl2lapack::lapack_matrix<double,external>::type A(da, N, N);  double rowcond, colcond;  double amax;  dense1D<double> rowsca(N), colsca(N);  int info;  //end  print_all_matrix(A);  // Compute and print the scale factors that will  //   equilibrate A  //begin  info = mtl2lapack::geequ(A, rowsca, colsca, rowcond, colcond, amax);   if (info > N) {    std::cout << "Column " << info - N << " of A is exactly zero." << std::endl;    return 0;  } else if (info > 0)    std::cout << "Row " << info << " of A is exactly zero." << std::endl;  //end  std::cout << "Row scale factors:" << std::endl;  print_vector(rowsca);  std::cout << "Column scale factors:" << std::endl;  print_vector(colsca);  // Use the scale factors to equilibrate A and print  //   the equilibrated A.  for (int i = 0; i < N; ++i)    for (int j = 0; j < N; ++j)      A(i,j) *= rowsca[i] * colsca[j];  std::cout << "Scaled A:" << std::endl;  print_all_matrix(A);  return 0;}

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