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Copy pathMatrix.cpp
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Copy pathMatrix.cpp
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executable file
·439 lines (354 loc) · 7.73 KB
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#include <iostream>
#include <cmath>
#include <cassert>
#include "Vect.hpp"
#include "Matrix.hpp"
//#include <mpi.h>
//Overwritten copy constructor
Matrix::Matrix(const Matrix& otherMatrix)
{
mNoRows = otherMatrix.mNoRows;
mNoCols = otherMatrix.mNoCols;
mData = new double* [mNoRows];
for(int i = 0; i < mNoRows; i++)
{
mData[i] = new double [mNoCols];
}
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mData[i][j] = otherMatrix.mData[i][j];
}
}
}
//Constructor for vectors of given length
//Allocates memory and initializes entries to zero
Matrix::Matrix(int NoRows, int NoCols)
{
assert(NoRows>0);
assert(NoCols>0);
mNoRows = NoRows;
mNoCols = NoCols;
mData = new double* [mNoRows];
for(int i = 0; i < NoRows; i++)
{
mData[i] = new double [mNoCols];
}
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mData[i][j] = 0.0;
}
}
}
//Overwrite destructor to free memory
Matrix::~Matrix()
{
for(int i = 0; i < mNoRows; i++)
{
delete[] mData[i];
}
delete[] mData;
}
//Get the No of Rows
int Matrix::GetNoRows() const
{
return mNoRows;
}
//Get the No of Cols
int Matrix::GetNoCols() const
{
return mNoCols;
}
//Calculate the Determinant
double Matrix::CalcDet() const
{
assert(mNoRows == mNoCols);
double det = 0.0;
if(mNoRows == 1)
det = mData[0][0];
else
{
//For more than one entry
for(int i_out = 0; i_out < mNoRows; i_out++)
{
Matrix sub_matrix(mNoRows-1,mNoCols-1);
for(int i = 0; i < mNoRows-1; i++)
{
for(int j = 0; j < i_out; j++)
{
sub_matrix(i,j) = mData[i+1][j];
}
for(int j = i_out; j < mNoRows-1; j++)
{
sub_matrix(i,j) = mData[i+1][j+1];
}
}
double sub_matrix_det = sub_matrix.CalcDet();
det += pow(-1.0, i_out)*mData[0][i_out]*sub_matrix_det;
}
}
return det;
}
//Overload Operators
//Overloading the square brackets
double& Matrix::operator()(int i, int j)
{
assert(i > -1);
assert(i < mNoRows);
assert(j > -1);
assert(j < mNoCols);
return mData[i][j];
}
//Overloading the assignment operator
Matrix& Matrix::operator = (const Matrix& otherMatrix)
{
assert(mNoRows == otherMatrix.mNoRows);
assert(mNoCols == otherMatrix.mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mData[i][j] = otherMatrix.mData[i][j];
}
}
return *this;
}
//Overloading the unary + operator
Matrix Matrix::operator+() const
{
Matrix mat(mNoRows,mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = mData[i][j];
}
}
return mat;
}
//Overloading the unary - operator
Matrix Matrix::operator-() const
{
Matrix mat(mNoRows,mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = -mData[i][j];
}
}
return mat;
}
//Overloading the binary + operator
Matrix Matrix::operator+(const Matrix& m1) const
{
assert(mNoRows == m1.mNoRows);
assert(mNoCols == m1.mNoCols);
Matrix mat(mNoRows, mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = mData[i][j] + m1.mData[i][j];
}
}
return mat;
}
//Overloading the binary - operator
Matrix Matrix::operator-(const Matrix& m1) const
{
assert(mNoRows == m1.mNoRows);
assert(mNoCols == m1.mNoCols);
Matrix mat(mNoRows, mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = mData[i][j] - m1.mData[i][j];
}
}
return mat;
}
//Overloading scalar multiplication
Matrix Matrix::operator*(double a) const
{
Matrix mat(mNoRows, mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = mData[i][j]*a;
}
}
return mat;
}
//Overloading division per scalar
Matrix Matrix::operator/(double a) const
{
assert(a!=0);
Matrix mat(mNoRows, mNoCols);
for(int i = 0; i < mNoRows; i++)
{
for(int j = 0; j < mNoCols; j++)
{
mat(i,j) = mData[i][j]/a;
}
}
return mat;
}
//Overloading Matrix multiplied by a vector
Vect operator*(const Matrix& m, const Vect& v)
{
int original_vect_size = v.GetSize();
assert(m.GetNoCols() == original_vect_size);
int new_vect_length = m.GetNoRows();
Vect new_vect(new_vect_length);
for(int i = 0; i < new_vect_length; i++)
{
for(int j = 0; j < original_vect_size; j++)
{
new_vect[i] += m.mData[i][j]*v.Read(j);
}
}
return new_vect;
}
//Overload Vect multiplied by matrix
Vect operator*(const Vect& v, const Matrix& m)
{
int original_vect_size = v.GetSize();
assert(m.GetNoRows()==original_vect_size);
int new_vect_length = m.GetNoCols();
Vect new_vect(new_vect_length);
for(int i = 0; i < new_vect_length; i++)
{
for(int j = 0; j < original_vect_size; j++)
{
new_vect[i] += v.Read(j)*m.mData[j][i];
}
}
return new_vect;
}
// Scalar x Matrix
Matrix operator*(double a, const Matrix& m)
{
Matrix mat(m.mNoRows, m.mNoCols);
for(int i = 0; i < m.mNoRows; i++)
{
for(int j = 0; j < m.mNoCols; j++)
{
mat(i,j) = a*m.mData[i][j];
}
}
return mat;
}
//MATLAB style det function
double det(const Matrix& m)
{
return m.CalcDet();
}
//MATLAB style disp function
void disp(const Matrix& m)
{
for(int i = 0; i < m.mNoRows; i++)
{
std::cout << "[ ";
for(int j = 0; j < m.mNoCols; j++)
{
std::cout << m.mData[i][j] << " ";
}
std::cout << "]" << std::endl;
}
}
//MATLAB style inv function
Matrix inv(const Matrix& m)
{
assert(m.mNoRows == m.mNoCols);
assert(m.mNoRows < 4);
Matrix m_inv(m.mNoRows,m.mNoCols);
switch(m.mNoRows)
{
case 2:
m_inv(0,0) = m.mData[1][1];
m_inv(0,1) = -m.mData[0][1];
m_inv(1,0) = -m.mData[1][0];
m_inv(1,1) = m.mData[0][0];
m_inv = m_inv/det(m);
break;
case 3:
m_inv(0,0) = m.mData[1][1]*m.mData[2][2] - m.mData[2][1]*m.mData[1][2];
m_inv(0,1) = m.mData[0][2]*m.mData[2][1] - m.mData[2][2]*m.mData[0][1];
m_inv(0,2) = m.mData[0][1]*m.mData[1][2] - m.mData[1][1]*m.mData[0][2];
m_inv(1,0) = m.mData[1][2]*m.mData[2][0] - m.mData[2][2]*m.mData[1][0];
m_inv(1,1) = m.mData[0][0]*m.mData[2][2] - m.mData[2][0]*m.mData[0][2];
m_inv(1,2) = m.mData[0][2]*m.mData[1][0] - m.mData[1][2]*m.mData[0][0];
m_inv(2,0) = m.mData[1][0]*m.mData[2][1] - m.mData[2][0]*m.mData[1][1];
m_inv(2,1) = m.mData[0][1]*m.mData[2][0] - m.mData[2][1]*m.mData[0][0];
m_inv(2,2) = m.mData[0][0]*m.mData[1][1] - m.mData[1][0]*m.mData[0][1];
m_inv = m_inv/det(m);
break;
}
return m_inv;
}
//MATLAB style reshape function
Matrix reshape(const Matrix& m, int NoRows, int NoCols)
{
assert(m.mNoRows*m.mNoCols == NoRows*NoCols);
int N = m.mNoRows*m.mNoCols;
Vect rshp(N);
int k = 0;
for(int i = 0; i < m.mNoRows; i++)
{
for(int j = 0; j < m.mNoCols; j++)
{
rshp[k] = m.mData[i][j];
k++;
}
}
Matrix m1(NoRows,NoCols);
k = 0;
for(int i = 0; i < NoRows; i++)
{
for(int j = 0; j < NoCols; j++)
{
m1(i,j) = rshp.Read(k);
k++;
}
}
return m1;
}
Matrix reshape(const Vect& m, int NoRows, int NoCols)
{
assert(length(m) == NoRows*NoCols);
Matrix m1(NoRows,NoCols);
int k = 0;
for(int i = 0; i < NoRows; i++)
{
for(int j = 0; j < NoCols; j++)
{
m1(i,j) = m.Read(k);
k++;
}
}
return m1;
}
// MATLAB style transpose function
Matrix transpose(const Matrix&m)
{
int NoRows, NoCols;
NoCols = m.GetNoRows();
NoRows = m.GetNoCols();
assert(NoRows > 0);
assert(NoCols > 0);
Matrix mat(NoCols, NoRows);
for(int i = 0; i < NoRows; i++)
{
for(int j = 0; j < NoCols; j++)
{
mat(i,j) = m.mData[j][i];
}
}
return mat;
}