utils.h
来自「强大的矩阵模版类」· C头文件 代码 · 共 668 行
H
668 行
//// Software License for MTL// // Copyright (c) 2001-2005 The Trustees of Indiana University. All rights reserved.// Copyright (c) 1998-2001 University of Notre Dame. All rights reserved.// Authors: Andrew Lumsdaine, Jeremy G. Siek, Lie-Quan Lee// // This file is part of the Matrix Template Library// // See also license.mtl.txt in the distribution.#ifndef MTL_UTILS_H#define MTL_UTILS_H#include "mtl/mtl_config.h"#include "mtl/not_at.h"#include "mtl/entry.h"#include "mtl/matrix_traits.h"#include "mtl/dimension.h"#include <utility>#include "mtl/mtl_complex.h"#include <algorithm>#include <iostream>namespace mtl {using std::complex;/* Utility Functions */template <class Vector>inline voidprint_partitioned_vector(Vector x){ for (typename Vector::iterator i = x.begin(); i != x.end(); ++i) { print_vector(*i); }}template <class Matrix>inline voidprint_partitioned_matrix(const Matrix& A){ std::cout << "Top mat: " << A.nrows() << "x" << A.ncols() << std::endl; typedef typename mtl::matrix_traits<Matrix>::size_type Int; Int i,j; for (i=0; i < A.nrows(); ++i) { for (j=0; j < A.ncols(); ++j) print_all_matrix( A(i,j) ); std::cout << std::endl; }}template <class Matrix>inline voidprint_partitioned_by_row(const Matrix& A){ std::cout << "Top mat: " << A.nrows() << "x" << A.ncols() << std::endl; typename Matrix::const_iterator A_kk; typename Matrix::Row::const_iterator A_i, A_iend; A_kk = A.begin(); while (not_at(A_kk, A.end())) { A_i = (*A_kk).begin(); A_iend = (*A_kk).end(); while (not_at(A_i, A_iend)) { print_all_matrix( *A_i ); ++A_i; } ++A_kk; } }template <class Matrix>inline voidprint_partitioned_by_column(const Matrix& A){ std::cout << "Top mat: " << A.nrows() << "x" << A.ncols() << std::endl; typename Matrix::const_iterator A_kk; typename Matrix::Column::const_iterator A_i, A_iend; A_kk = A.begin(); while (not_at(A_kk, A.end())) { A_i = (*A_kk).begin(); A_iend = (*A_kk).end(); while (not_at(A_i, A_iend)) { print_all_matrix( *A_i ); ++A_i; } ++A_kk; } }//: utility function for banded// should use this in a couple more places//!noindex:template <class size_type>dimension<size_type>calc_start_fini(int i, int minor, dimension<size_type> bandwidth){ int start = MTL_MAX(i - int(bandwidth.first()), 0); int fini = MTL_MIN(i + int(bandwidth.second()) + 1, minor); if (start > fini) start = fini; return dimension<size_type>(start,fini);}template <class Iterator>inline voidprint_vector(Iterator y, Iterator y_end){ std::cout << "["; while (not_at(y, y_end)) { std::cout << *y << ","; ++y; } std::cout << "]" << std::endl;}///template <class Vector>inline voidprint_vector(Vector x){ typename Vector::iterator i = x.begin(); std::cout << "["; while (not_at(i, x.end())) { std::cout << *i << ","; ++i; } std::cout << "]" << std::endl;}template <class Vector>inline voidprint_vector_index(Vector x){ typename Vector::iterator i = x.begin(); std::cout << "["; while (not_at(i, x.end())) { std::cout << i.index() << ","; ++i; } std::cout << "]" << std::endl;}///template <class Matrix>inline voidprint_coord(const Matrix& A){ typename Matrix::const_iterator A_kk; typename Matrix::OneD::const_iterator A_i; A_kk = A.begin(); while (not_at(A_kk, A.end())) { A_i = (*A_kk).begin(); while (not_at(A_i, (*A_kk).end())) { std::cout << "(" << A_kk.row() << "," << A_i.column() << ") = " << *A_i << std::endl; ++A_i; } ++A_kk; } }///template <class Matrix>inline voidprint_all_matrix(const Matrix& A){ typedef typename matrix_traits<Matrix>::size_type Int; Int i,j; std::cout << A.nrows() << "x" << A.ncols() << std::endl; std::cout << "[" << std::endl; for (i=0; i < A.nrows(); ++i) { std::cout << "["; for (j=0; j < A.ncols(); ++j) { std::cout << A(i,j); if (j < A.ncols() - 1) std::cout << ","; } std::cout << "]"; if (i < A.nrows() - 1) std::cout << "," << std::endl; else std::cout << std::endl; } std::cout << "]" << std::endl;}///template <class Matrix>inline voidprint_all_banded(const Matrix& A, int lo, int up){ typedef typename matrix_traits<Matrix>::size_type Int; Int i, j; std::cout << A.nrows() << "x" << A.ncols() << std::endl; std::cout << "[" << std::endl; for (i = 0; i < A.nrows(); ++i) { Int first = MTL_MAX(0, int(i) - lo); Int last = MTL_MIN(int(A.ncols()), int(i) + up + 1); std::cout << "["; for (j = 0; j < A.ncols(); ++j) { if (j < first || j >= last) std::cout << 0; else { std::cout << A(i,j); } if (j < A.ncols() - 1) std::cout << ","; } std::cout << "]"; if (i < A.nrows() - 1) std::cout << "," << std::endl; else std::cout << std::endl; } std::cout << "]" << std::endl;}///template <class Matrix>void print_minor(const Matrix& A){ typename Matrix::const_minor_iterator A_kk; typename Matrix::MinorVector::const_iterator A_i; A_kk = A.begin_minor(); std::cout << "[" << std::endl; while (not_at(A_kk, A.end_minor())) { std::cout << "["; A_i = (*A_kk).begin(); while (not_at(A_i, (*A_kk).end())) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}///template <class Matrix>void print_row(const Matrix& A){ typename Matrix::const_iterator A_kk; typename Matrix::Row::const_iterator A_i, A_iend; A_kk = A.begin(); std::cout << "[" << std::endl; while (not_at(A_kk, A.end())) { std::cout << "["; A_i = (*A_kk).begin(); A_iend = (*A_kk).end(); while (not_at(A_i, A_iend)) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}///template <class Matrix>void print_rev_row(const Matrix& A){ typename Matrix::const_reverse_iterator A_kk; typename Matrix::Row::const_reverse_iterator A_i; typename Matrix::Row::const_reverse_iterator A_iend; A_kk = A.rbegin(); std::cout << "[" << std::endl; while (not_at(A_kk, A.rend())) { std::cout << "["; A_i = (*A_kk).rbegin(); A_iend = (*A_kk).rend(); while (not_at(A_i, A_iend)) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}///template <class Matrix>void print_column(const Matrix& A){ typename Matrix::const_iterator A_kk; typename Matrix::Column::const_iterator A_i; A_kk = A.begin(); std::cout << "[" << std::endl; while (not_at(A_kk, A.end())) { std::cout << "["; A_i = (*A_kk).begin(); while (not_at(A_i, (*A_kk).end())) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}///template <class Matrix>void print_rev_column(const Matrix& A){ typename Matrix::const_reverse_iterator A_kk; typename Matrix::Column::const_reverse_iterator A_i; A_kk = A.rbegin(); std::cout << "[" << std::endl; while (not_at(A_kk, A.rend())) { std::cout << "["; A_i = (*A_kk).rbegin(); while (not_at(A_i, (*A_kk).rend())) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}///template <class Matrix>void print_major(const Matrix& A){ typename Matrix::const_iterator A_kk; typename Matrix::OneD::const_iterator A_i; A_kk = A.begin(); std::cout << "[" << std::endl; while (not_at(A_kk, A.end())) { std::cout << "["; A_i = (*A_kk).begin(); while (not_at(A_i, (*A_kk).end())) { std::cout << *A_i; ++A_i; std::cout << ","; } std::cout << "]"; std::cout << "," << std::endl; ++A_kk; } std::cout << "]" << std::endl;}#if 1template <class MatrixA, class MatrixB>inline boolmatrix_equal(const MatrixA& A, const MatrixB& B){ typedef typename matrix_traits<MatrixA>::size_type Int; if (A.nrows() != Int(B.nrows()) || A.ncols() != Int(B.ncols())) return false; for (Int i = 0; i < A.nrows(); ++i) for (Int j = 0; j < A.ncols(); ++j) if (A(i,j) != B(i,j)) {#if !defined(_MSVCPP_) std::cout << "(" << i << "," << j << ") " << A(i,j) << " != " << B(i,j) << std::endl;#endif return false; } return true;}#elsetemplate <class MatrixA, class MatrixB>inline bool__matrix_equal(const MatrixA& A, const MatrixB& B, row_tag){ typename MatrixA::const_row_2Diterator A_ii = A.begin_rows(); while (not_at(A_ii, A.end_rows())) { typename MatrixA::RowVector::const_iterator A_j = (*A_ii).begin(); while (not_at(A_j, (*A_ii).end())) { if (abs(*A_j - B(A_ii.index(), A_j.index())) > 0.00001) {#if !defined(_MSVCPP_) std::cout << "(" << A_ii.index() << "," << A_j.index() << ")=" << *A_j << " != " << B(A_ii.index(), A_j.index()) << std::endl;#endif return false; } ++A_j; } ++A_ii; } return true;}template <class MatrixA, class MatrixB>inline bool__matrix_equal(const MatrixA& A, const MatrixB& B, column_tag){ typename MatrixA::const_column_2Diterator A_jj = A.begin_columns(); while (A_jj < A.end_columns()) { typename MatrixA::ColumnVector::const_iterator A_i = (*A_jj).begin(); while (A_i != (*A_jj).end()) { if (abs(*A_i - B(A_i.index(), A_jj.index())) > 0.00001) {#if !defined(_MSVCPP_) std::cout << "(" << A_i.index() << "," << A_jj.index() << ")=" << *A_i << " != " << B(A_i.index(), A_jj.index()) << std::endl;#endif return false; } ++A_i; } ++A_jj; } return true;}template <class MatrixA, class MatrixB>inline boolmatrix_row_equal(const MatrixA& A, const MatrixB& B) { return __matrix_equal(A, B, row_tag());}template <class MatrixA, class MatrixB>inline boolmatrix_column_equal(const MatrixA& A, const MatrixB& B) { return __matrix_equal(A, B, column_tag());}///template <class MatrixA, class MatrixB>inline boolmatrix_equal(const MatrixA& A, const MatrixB& B){ typedef typename MatrixA::orientation orien; return __matrix_equal(A, B, orien());}#endif/*********************************************************//* Functions to get random numbers to fill the matrices *//*********************************************************/ inline floatmake_rand_element(float){ float r = float(rand()); return r/float(RAND_MAX)*10.0f;}inline doublemake_rand_element(double){ double r = double(rand()); return r/double(RAND_MAX)*10.0L;}inline complex<float>make_rand_element(complex<float>){ return complex<float>(make_rand_element(float()), make_rand_element(float()));}inline complex<double>make_rand_element(complex<double>){ return complex<double>(make_rand_element(double()), make_rand_element(double()));}#if 0template <class Orien>inline voidprint_matrix(const matrix<Orien>& mA){#if 0 const Orien& A = mA.two_d(); Orien::const_row_2Diterator row_iter = A.begin_rows(); std::cout << "["; while (row_iter < A.end_rows()) { Orien::RowVector::const_iterator ri = (*row_iter).begin(); std::cout << "["; while (ri < (*row_iter).end()) { std::cout << *ri; std::cout << ","; ++ri; } std::cout << "]," << std::endl;; ++row_iter; } std::cout << "]" << std::endl;#endif#if 1 // good one const Orien& A = mA.two_d(); typename Orien::const_row_2Diterator row_iter = A.begin_rows(); while (row_iter < A.end_rows()) { typename Orien::RowVector::const_iterator ri = (*row_iter).begin(); while (ri < (*row_iter).end()) { if (*ri != 0) std::cout << "(" << row_iter.index() << "," << ri.index() << ") = " << *ri << std::endl;; ++ri; } ++row_iter; }#endif#if 0 int i, j; for (i=0; i < mA.nrows(); ++i) for (j=0; j < mA.ncols(); ++j) if (mA(i,j) != 0) std::cout << "(" << i << "," << j << ") = " << mA(i,j) << std::endl;;#endif#if 0 int i,j; std::cout << "["; for (i=0; i < A.nrows(); ++i) { std::cout << "["; for (j=0; j < A.ncols(); ++j) { std::cout << A(i,j); if (j < A.ncols() - 1) std::cout << ","; } std::cout << "]"; if (i < A.nrows() - 1) std::cout << "," << std::endl; } std::cout << "]" << std::endl;#endif}template <class Orien>inline voiddense_init(matrix<Orien>& A){ int i, j; for(i = 0; i < A.nrows(); ++i) for (j = 0; j < A.ncols(); ++j) A(i,j) = i * A.ncols() + j;}#endiftemplate <class Mat>inline voidinsert_zero_matrix(Mat& A){ typedef typename matrix_traits<Mat>::size_type Int; // idea, for sparse matrices, just zero the non zeroes // which should remove them Int i, j; for (i = 0; i < A.nrows(); ++i) { Int first = MTL_MAX(0, int(i) - int(A.sub())); Int last = MTL_MIN(int(A.ncols()), int(i) + int(A.super()) + 1); for (j = 0; j < A.ncols(); ++j) if (j >= first && j < last) A(i,j) = 0.0; }}template <class Matrix>inline voidzero_matrix(Matrix& A){ typedef typename matrix_traits<Matrix>::value_type T; typename Matrix::iterator oneD_iter = A.begin(); while (oneD_iter < A.end()) { typename Matrix::OneD::iterator i = (*oneD_iter).begin(); while (i < (*oneD_iter).end()) { *i = T(0); ++i; } ++oneD_iter; }} #if 0template <class Orien>inline voidsparse_init(matrix<Orien>& A, int c){ int i; for (i=0; i < A.nrows(); ++i) A(i, i) = 4; for (i=0; i < A.nrows() - 1; ++i) { A(i, i + 1) = -1.0; A(i + 1, i) = -1.0; } for (i=0; i < A.nrows() - 2; ++i) { A(i, i + 2) = -1.0; A(i + 2, i) = -1.0; } for (i=0; i < A.nrows() - 3; ++i) { A(i, i + 3) = -1.0; A(i + 3, i) = -1.0; } for (i=0; i < A.nrows() - c; ++i) { A(i, i + c) = -1.0; A(i + c, i) = -1.0; }}//// mat_mat_multiply//template <class OA, class OB, class OC>inline voidcalc_correct(const matrix<OA>& mA, const matrix<OB>& mB, matrix<OC>& mC2){ int i, j, k; for (k = 0; k < mA.ncols(); ++k) for (j = 0; j < mB.ncols(); ++j) for (i = 0; i < mA.nrows(); ++i) { mC2(i,j) += mA(i,k) * mB(k,j); }}template <class OA>inline int calc_nonzeroes(const matrix<OA>& mA){ int nonzeroes = 0; const OA& A = mA.two_d(); typename OA::const_row_2Diterator row_iter = A.begin_rows(); while (row_iter < A.end_rows()) { typename OA::RowVector::const_iterator ri = (*row_iter).begin(); while (ri.not_at((*row_iter).end())) { if (*ri != 0.0) ++nonzeroes; ++ri; } ++row_iter; } return nonzeroes;}#endif} /* namespace mtl */#endif
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