2019-09-03 04:58:29 +03:00
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//
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// Created by 顾涵彬 on 2019-08-28.
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//
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#ifndef MATRIX_MATRIX_H
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#define MATRIX_MATRIX_H
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#include <cstring>
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#include <iostream>
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#include <cmath>
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namespace Ctain {
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template<typename _Scalar>
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class Matrix {
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public:
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Matrix(int Rows, int Cols) :
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_Rows(Rows), _Cols(Cols), _isSub(0), input_id(0) {
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_startRow = 0;
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_startCol = 0;
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_Rows_raw = Rows;
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_Cols_raw = Cols;
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data = new _Scalar [_Rows * _Cols];
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memset(data, 0, _Rows * _Cols * sizeof(_Scalar));
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}
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Matrix() :
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_Rows(0), _Cols(0), _isSub(0), input_id(0) {
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_startRow = 0;
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_startCol = 0;
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_Rows_raw = 0;
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_Cols_raw = 0;
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}
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Matrix(_Scalar _data[], int Rows, int Cols) :
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_Rows(Rows), _Cols(Cols), _isSub(0), input_id(0) {
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_startRow = 0;
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_startCol = 0;
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_Rows_raw = Rows;
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_Cols_raw = Cols;
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data = new _Scalar [_Rows * _Cols];
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memcpy(data, _data, _Rows * _Cols * sizeof(_Scalar));
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}
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Matrix(_Scalar **_data, int Rows, int Cols) :
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_Rows(Rows), _Cols(Cols), _isSub(0), input_id(0) {
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_startRow = 0;
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_startCol = 0;
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_Rows_raw = Rows;
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_Cols_raw = Cols;
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data = new _Scalar [_Rows * _Cols];
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for (int i = 0; i < _Rows; ++i) {
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memcpy(data + i * _Cols, *(_data + i), _Cols * sizeof(_Scalar));
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}
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}
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template<typename T>
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Matrix<T> cast() {
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Matrix<T> res(_Rows, _Cols);
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for (int i = 0; i < _Rows; i++) {
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for (int j = 0; j < _Cols; j++) {
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res(i,j) = cData(i, j);
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}
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}
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return res;
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}
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void setIdentity() {
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for (int i = 0; i < _Rows; i++) {
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for (int j = 0; j < _Cols; j++) {
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if(i == j) {
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Data(i,j) = 1;
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}else {
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Data(i,j) = 0;
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}
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}
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}
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}
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void setZero() {
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for (int i = 0; i < _Rows; i++) {
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for (int j = 0; j < _Cols; j++) {
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Data(i, j) = 0;
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}
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}
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}
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inline int cols() const { return _Cols; }
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inline int rows() const { return _Rows; }
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inline int size() const { return cols() * rows(); }
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_Scalar * addr() {
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return data;
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}
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friend Matrix<_Scalar> &operator <<(Matrix<_Scalar> &m,_Scalar val) {
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m.Data(m.input_id++) = val;
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return m;
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}
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friend std::ostream &operator <<(std::ostream &os,const Matrix<_Scalar> &m) {
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// os << std::endl;
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for (int i = 0; i < m._Rows; i++) {
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for (int j = 0; j < m._Cols - 1; j++) {
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std::cout.width(10);
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std::cout.setf(std::ios::left);
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std::cout.precision(6);
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os << m.cData(i,j) ;
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}
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std::cout.width(9);
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std::cout.setf(std::ios::left);
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std::cout.precision(8);
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os << m.cData(i,m._Cols - 1) << std::endl;
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}
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return os;
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}
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friend Matrix<_Scalar> operator *(
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double a, const Matrix<_Scalar> &m) {
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Matrix<_Scalar> res;
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res = m;
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for(int i = 0; i < m._Rows; i++) {
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for(int j = 0; j < m._Cols; j++) {
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res.Data(i,j) *= a;
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}
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}
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return res;
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}
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2019-09-04 12:03:22 +03:00
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friend Matrix<_Scalar> operator *(
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const Matrix<_Scalar> &m, double a) {
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Matrix<_Scalar> res;
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res = m;
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for(int i = 0; i < m._Rows; i++) {
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for(int j = 0; j < m._Cols; j++) {
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res.Data(i,j) *= a;
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}
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}
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return res;
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}
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2019-09-03 04:58:29 +03:00
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friend Matrix<_Scalar> operator -(
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const Matrix<_Scalar> &m) {
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Matrix<_Scalar> res;
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res = m;
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for(int i = 0; i < m._Rows; i++) {
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for(int j = 0; j < m._Cols; j++) {
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res.Data(i,j) *= -1;
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}
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}
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return res;
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}
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friend Matrix<_Scalar> operator +(
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double a, const Matrix<_Scalar> &m) {
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Matrix<_Scalar> res;
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res = m;
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for(int i = 0; i < m._Rows; i++) {
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for(int j = 0; j < m._Cols; j++) {
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res.Data(i,j) += a;
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}
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}
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return res;
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}
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void operator =(Matrix<_Scalar> m);
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// void operator =(Matrix<_Scalar> &m);
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Matrix<_Scalar> operator +(const Matrix<_Scalar> &m) const;
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Matrix<_Scalar> operator -(const Matrix<_Scalar> &m) const;
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Matrix<_Scalar> operator *(const Matrix<_Scalar> &m) const;
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Matrix<_Scalar> operator /(double m) const;
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_Scalar &operator()(int i, int j) {
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return Data(i,j);
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}
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_Scalar &operator()(int id) {
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return Data(id);
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}
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_Scalar operator()(int id) const {
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return cData(id);
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}
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Matrix<_Scalar> transpose() const;
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Matrix<_Scalar> col(int Col) {
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return block(0, Col, _Rows, 1);
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}
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Matrix<_Scalar> row(int Row) {
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return block(Row, 0, 1, _Cols);
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}
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Matrix<_Scalar> block(int sRow, int sCol, int Rows, int Cols) {
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Matrix<_Scalar> sub;
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sub = *this;
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sub.setSub(sRow, sCol, Rows, Cols, data);
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return sub;
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}
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template<int Rows, int Cols>
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Matrix<_Scalar> topLeftCorner() const {
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Matrix<_Scalar> sub;
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sub = *this;
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sub.setSub(0, 0, Rows, Cols, data);
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return sub;
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}
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template<int Rows, int Cols>
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Matrix<_Scalar> topRightCorner() const {
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Matrix<_Scalar> sub;
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sub = *this;
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2019-09-04 09:01:28 +03:00
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sub.setSub(0, _Cols-Cols, Rows, Cols, data);
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2019-09-03 04:58:29 +03:00
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return sub;
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}
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void setSub(int sRow, int sCol, int Rows, int Cols, _Scalar *Data) {
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_isSub = true;
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_Rows_raw = _Rows;
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_Cols_raw = _Cols;
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_Rows = Rows;
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_Cols = Cols;
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_startRow = sRow;
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_startCol = sCol;
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data = Data;
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}
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void normalize();
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double norm() const;
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virtual ~Matrix() {
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if(!data)
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delete[] data;
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}
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// template<int _Rows, int _Cols>
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// inline Matrix<_Scalar, _Rows, _Cols> block<_Rows, _Cols>(Index i,Index j) {
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//
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// }
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inline _Scalar *Data() {
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return data;
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}
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protected:
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_Scalar *data;
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int _Rows;
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int _Cols;
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bool _isSub;
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int _startRow;
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int _startCol;
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int _Rows_raw;
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int _Cols_raw;
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int input_id ;
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inline int id(int i, int j) const {
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if(_isSub)
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return (i + _startRow) * _Cols_raw + j + _startCol;
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else
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return i * _Cols + j;
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}
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inline _Scalar &Data(int i,int j) {
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return data[id(i,j)];
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}
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inline _Scalar &Data(int id) {
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int i = id / _Cols;
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int j = id % _Cols;
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int index;
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if(_isSub)
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index = (i + _startRow) * _Cols_raw + j + _startCol;
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else
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index = i * _Cols + j;
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return data[index];
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}
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inline _Scalar cData(int id) const{
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int i = id / _Cols;
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int j = id % _Cols;
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int index;
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if(_isSub)
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index = (i + _startRow) * _Cols_raw + j + _startCol;
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else
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index = i * _Cols + j;
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return data[index];
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}
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inline _Scalar cData (int i,int j) const{
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return data[id(i,j)];
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}
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}; //class Matrix end
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template<typename _Scalar>
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void Matrix<_Scalar>::operator =(Matrix<_Scalar> m) {
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if(m._isSub) {
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2019-09-04 12:03:22 +03:00
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if(_isSub) {
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for (int i = 0; i < m._Rows; i++) {
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for (int j = 0; j < m._Cols; j++) {
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Data(i,j) = m.cData(i, j);
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}
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}
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return;
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}
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_isSub = true;
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_Rows = m._Rows;
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_Cols = m._Cols;
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_Rows_raw = m._Rows_raw;
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_Cols_raw = m._Cols_raw;
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_startRow = m._startRow;
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_startCol = m._startCol;
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data = m.Data();
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return;
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}
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if(!_isSub) {
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if(size() != m.size()) {
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if(size() > 0) {
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delete[] data;
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}
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_Rows = m._Rows;
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_Cols = m._Cols;
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data = new _Scalar[_Rows * _Cols];
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}else {
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_Rows = m._Rows;
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_Cols = m._Cols;
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}
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}
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for (int i = 0; i < m._Rows; i++) {
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for (int j = 0; j < m._Cols; j++) {
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Data(i,j) = m.cData(i, j);
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}
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}
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}
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template<typename _Scalar>
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Matrix<_Scalar> Matrix<_Scalar>::operator +(const Matrix<_Scalar> &m) const{
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Matrix<_Scalar> sum;
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sum = *this;
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for(int i = 0; i < _Rows * _Cols; i++) {
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sum.data[i] += m.data[i];
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}
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return sum;
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}
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template<typename _Scalar>
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Matrix<_Scalar> Matrix<_Scalar>::operator -(const Matrix<_Scalar> &m) const{
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Matrix<_Scalar> sum;
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sum = *this;
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for(int i = 0; i < _Rows * _Cols; i++) {
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sum.data[i] -= m.data[i];
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}
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return sum;
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}
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template<typename _Scalar>
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Matrix<_Scalar> Matrix<_Scalar>::transpose() const
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{
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Matrix<_Scalar> res(_Cols, _Rows);
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for(int i = 0; i < _Rows; i++) {
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for (int j = 0; j < _Cols; j++) {
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res.Data(j, i) = cData(i, j);
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}
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}
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return res;
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}
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template<typename _Scalar>
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Matrix<_Scalar> Matrix<_Scalar>::operator *(const Matrix<_Scalar> &m) const {
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if(_Cols != m._Rows) {
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//todo:output err
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return m;
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}
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Matrix<_Scalar> res(_Rows, m._Cols);
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for(int i = 0; i < _Rows; i++) {
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for(int j = 0; j < m._Cols; j++) {
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2019-09-04 09:01:28 +03:00
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_Scalar sum = 0;
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2019-09-03 04:58:29 +03:00
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for(int k = 0; k < _Cols; k++) {
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sum += cData(i, k) * m.cData(k, j);
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}
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res.Data(i,j) = sum;
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}
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}
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return res;
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}
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template<typename _Scalar>
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Matrix<_Scalar> Matrix<_Scalar>::operator /(double m) const {
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2019-09-04 12:03:22 +03:00
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Matrix<_Scalar> res;
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res = *this;
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2019-09-03 04:58:29 +03:00
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for(int i = 0; i < _Rows; i++) {
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for(int j = 0; j < _Cols; j++) {
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res.Data(i,j) /= m;
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}
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}
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return res;
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}
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template<typename _Scalar>
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|
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void Matrix<_Scalar>::normalize() {
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|
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double sum = 0;
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|
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for(int i = 0; i < _Rows; i++) {
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|
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for(int j = 0; j < _Cols; j++) {
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|
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sum += Matrix::cData(i, j);
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|
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}
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|
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}
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|
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sum = sqrt(sum);
|
|
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|
for(int i = 0; i < _Rows; i++) {
|
|
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|
for(int j = 0; j < _Cols; j++) {
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|
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Matrix::Data(i, j) /= sum;
|
|
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|
}
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|
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}
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|
|
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}
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|
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template<typename _Scalar>
|
|
|
|
double Matrix<_Scalar>::norm() const{
|
|
|
|
double sum = 0;
|
|
|
|
for(int i = 0; i < _Rows; i++) {
|
|
|
|
for(int j = 0; j < _Cols; j++) {
|
2019-09-04 09:01:28 +03:00
|
|
|
sum += Matrix::cData(i, j) * Matrix::cData(i, j);
|
2019-09-03 04:58:29 +03:00
|
|
|
}
|
|
|
|
}
|
|
|
|
sum = sqrt(sum);
|
|
|
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|
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return sum;
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|
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}
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} //namespace Ctain end
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#endif //MATRIX_MATRIX_H
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