C++ - Matrix Adjoint
To find out the adjoint of a matrix, you need to follow the follwing steps:
- Find the cofactor of matrix. It involves lots of determinant calculation.
- Do the transpose of cofactor of the matrix.
Source Code
#if !defined(MATRIX_H)
#define MATRIX_H
#include <stdio.h>
#include <iostream>
#include <tchar.h>
#include <math.h>
class CMatrix
{
private:
int m_rows;
int m_cols;
char m_name[128];
CMatrix();
public:
double **m_pData;
CMatrix(const char *name, int rows, int cols) : m_rows(rows), m_cols(cols)
{
strcpy(m_name, name);
m_pData = new double*[m_rows];
for(int i = 0; i < m_rows; i++)
m_pData[i] = new double[m_cols];
for(int i = 0; i < m_rows; i++)
{
for(int j = 0; j < m_cols; j++)
{
m_pData[i][j] = 0.0;
}
}
}
CMatrix(const CMatrix &other)
{
strcpy(m_name, other.m_name);
m_rows = other.m_rows;
m_cols = other.m_cols;
m_pData = new double*[m_rows];
for(int i = 0; i < m_rows; i++)
m_pData[i] = new double[m_cols];
for(int i = 0; i < m_rows; i++)
{
for(int j = 0; j < m_cols; j++)
{
m_pData[i][j] = other.m_pData[i][j];
}
}
}
~CMatrix()
{
for(int i = 0; i < m_rows; i++)
delete [] m_pData[i];
delete [] m_pData;
m_rows = m_cols = 0;
}
void SetName(const char *name) { strcpy(m_name, name); }
const char* GetName() const { return m_name; }
void GetInput()
{
std::cin >> *this;
}
void FillSimulatedInput()
{
static int factor1 = 1, factor2 = 2;
std::cout << "\n\nEnter Input For Matrix : " << m_name << " Rows: " << m_rows << " Cols: " << m_cols << "\n";
for(int i = 0; i < m_rows; i++)
{
for(int j = 0; j < m_cols; j++)
{
std::cout << "Input For Row: " << i + 1 << " Col: " << j + 1 << " = ";
int data = ((i + 1) * factor1) + (j + 1) * factor2;
m_pData[i][j] = data / 10.2;
std::cout << m_pData[i][j] << "\n";
factor1 += (rand() % 4);
factor2 += (rand() % 3);
}
std::cout << "\n";
}
std::cout << "\n";
}
double Determinant()
{
double det = 0;
double **pd = m_pData;
switch(m_rows)
{
case 2:
{
det = pd[0][0] * pd[1][1] - pd[0][1] * pd[1][0];
return det;
}
break;
case 3:
{
/***
a b c
d e f
g h i
a b c a b c
d e f d e f
g h i g h i
// det (A) = aei + bfg + cdh - afh - bdi - ceg.
***/
double a = pd[0][0];
double b = pd[0][1];
double c = pd[0][2];
double d = pd[1][0];
double e = pd[1][1];
double f = pd[1][2];
double g = pd[2][0];
double h = pd[2][1];
double i = pd[2][2];
double det = (a*e*i + b*f*g + c*d*h);
det = det - a*f*h;
det = det - b*d*i;
det = det - c*e*g;
return det;
}
break;
case 4:
{
CMatrix *temp[4];
for(int i = 0; i < 4; i++)
temp[i] = new CMatrix("", 3,3);
for(int k = 0; k < 4; k++)
{
for(int i = 1; i < 4; i++)
{
int j1 = 0;
for(int j = 0; j < 4; j++)
{
if(k == j)
continue;
temp[k]->m_pData[i-1][j1++] = this->m_pData[i][j];
}
}
}
double det = this->m_pData[0][0] * temp[0]->Determinant() -
this->m_pData[0][1] * temp[1]->Determinant() +
this->m_pData[0][2] * temp[2]->Determinant() -
this->m_pData[0][3] * temp[3]->Determinant();
return det;
}
break;
case 5:
{
CMatrix *temp[5];
for(int i = 0; i < 5; i++)
temp[i] = new CMatrix("", 4,4);
for(int k = 0; k < 5; k++)
{
for(int i = 1; i < 5; i++)
{
int j1 = 0;
for(int j = 0; j < 5; j++)
{
if(k == j)
continue;
temp[k]->m_pData[i-1][j1++] = this->m_pData[i][j];
}
}
}
double det = this->m_pData[0][0] * temp[0]->Determinant() -
this->m_pData[0][1] * temp[1]->Determinant() +
this->m_pData[0][2] * temp[2]->Determinant() -
this->m_pData[0][3] * temp[3]->Determinant() +
this->m_pData[0][4] * temp[4]->Determinant();
return det;
}
case 6:
case 7:
case 8:
case 9:
case 10:
case 11:
case 12:
default:
{
int DIM = m_rows;
CMatrix **temp = new CMatrix*[DIM];
for(int i = 0; i < DIM; i++)
temp[i] = new CMatrix("", DIM - 1,DIM - 1);
for(int k = 0; k < DIM; k++)
{
for(int i = 1; i < DIM; i++)
{
int j1 = 0;
for(int j = 0; j < DIM; j++)
{
if(k == j)
continue;
temp[k]->m_pData[i-1][j1++] = this->m_pData[i][j];
}
}
}
double det = 0;
for(int k = 0; k < DIM; k++)
{
if( (k %2) == 0)
det = det + (this->m_pData[0][k] * temp[k]->Determinant());
else
det = det - (this->m_pData[0][k] * temp[k]->Determinant());
}
for(int i = 0; i < DIM; i++)
delete temp[i];
delete [] temp;
return det;
}
break;
}
}
CMatrix& operator = (const CMatrix &other)
{
if( this->m_rows != other.m_rows ||
this->m_cols != other.m_cols)
{
std::cout << "WARNING: Assignment is taking place with by changing the number of rows and columns of the matrix";
}
for(int i = 0; i < m_rows; i++)
delete [] m_pData[i];
delete [] m_pData;
m_rows = m_cols = 0;
strcpy(m_name, other.m_name);
m_rows = other.m_rows;
m_cols = other.m_cols;
m_pData = new double*[m_rows];
for(int i = 0; i < m_rows; i++)
m_pData[i] = new double[m_cols];
for(int i = 0; i < m_rows; i++)
{
for(int j = 0; j < m_cols; j++)
{
m_pData[i][j] = other.m_pData[i][j];
}
}
return *this;
}
CMatrix CoFactor()
{
CMatrix cofactor("COF", m_rows, m_cols);
if(m_rows != m_cols)
return cofactor;
if(m_rows < 2)
return cofactor;
else if(m_rows == 2)
{
cofactor.m_pData[0][0] = m_pData[1][1];
cofactor.m_pData[0][1] = -m_pData[1][0];
cofactor.m_pData[1][0] = -m_pData[0][1];
cofactor.m_pData[1][1] = m_pData[0][0];
return cofactor;
}
else if(m_rows >= 3)
{
int DIM = m_rows;
CMatrix ***temp = new CMatrix**[DIM];
for(int i = 0; i < DIM; i++)
temp[i] = new CMatrix*[DIM];
for(int i = 0; i < DIM; i++)
for(int j = 0; j < DIM; j++)
temp[i][j] = new CMatrix("", DIM - 1,DIM - 1);
for(int k1 = 0; k1 < DIM; k1++)
{
for(int k2 = 0; k2 < DIM; k2++)
{
int i1 = 0;
for(int i = 0; i < DIM; i++)
{
int j1 = 0;
for(int j = 0; j < DIM; j++)
{
if(k1 == i || k2 == j)
continue;
temp[k1][k2]->m_pData[i1][j1++] = this->m_pData[i][j];
}
if(k1 != i)
i1++;
}
}
}
bool flagPositive = true;
for(int k1 = 0; k1 < DIM; k1++)
{
flagPositive = ( (k1 % 2) == 0);
for(int k2 = 0; k2 < DIM; k2++)
{
if(flagPositive == true)
{
cofactor.m_pData[k1][k2] = temp[k1][k2]->Determinant();
flagPositive = false;
}
else
{
cofactor.m_pData[k1][k2] = -temp[k1][k2]->Determinant();
flagPositive = true;
}
}
}
for(int i = 0; i < DIM; i++)
for(int j = 0; j < DIM; j++)
delete temp[i][j];
for(int i = 0; i < DIM; i++)
delete [] temp[i];
delete [] temp;
}
return cofactor;
}
CMatrix Adjoint()
{
CMatrix cofactor("COF", m_rows, m_cols);
CMatrix adj("ADJ", m_rows, m_cols);
if(m_rows != m_cols)
return adj;
cofactor = this->CoFactor();
// adjoint is transpose of a cofactor of a matrix
for(int i = 0; i < m_rows; i++)
{
for(int j = 0; j < m_cols; j++)
{
adj.m_pData[j][i] = cofactor.m_pData[i][j];
}
}
return adj;
}
friend std::istream& operator >> (std::istream &is, CMatrix &m);
friend std::ostream& operator << (std::ostream &os, const CMatrix &m);
};
std::istream& operator >> (std::istream &is, CMatrix &m)
{
std::cout << "\n\nEnter Input For Matrix : " << m.m_name << " Rows: " << m.m_rows << " Cols: " << m.m_cols << "\n";
for(int i = 0; i < m.m_rows; i++)
{
for(int j = 0; j < m.m_cols; j++)
{
std::cout << "Input For Row: " << i + 1 << " Col: " << j + 1 << " = ";
is >> m.m_pData[i][j];
}
std::cout << "\n";
}
std::cout << "\n";
return is;
}
std::ostream& operator << (std::ostream &os,const CMatrix &m)
{
os << "\n\nMatrix : " << m.m_name << " Rows: " << m.m_rows << " Cols: " << m.m_cols << "\n\n";
for(int i = 0; i < m.m_rows; i++)
{
os << " | ";
for(int j = 0; j < m.m_cols; j++)
{
char buf[32];
double data = m.m_pData[i][j];
if( m.m_pData[i][j] > -0.00001 &&
m.m_pData[i][j] < 0.00001)
data = 0;
sprintf(buf, "%10.2lf ", data);
os << buf;
}
os << "|\n";
}
os << "\n\n";
return os;
}
#endif
int main()
{
CMatrix a("A", 5,5);
a.FillSimulatedInput();
//CMatrix a("A", 3,3);
//std::cin >> a;
CMatrix aadj = a.Adjoint();
std::cout << a;
std::cout << aadj;
Output
Enter Input For Matrix : A Rows: 3 Cols: 3
Input For Row: 1 Col: 1 = 2
Input For Row: 1 Col: 2 = 3
Input For Row: 1 Col: 3 = -1
Input For Row: 2 Col: 1 = 4
Input For Row: 2 Col: 2 = -3
Input For Row: 2 Col: 3 = 2
Input For Row: 3 Col: 1 = 7
Input For Row: 3 Col: 2 = 5
Input For Row: 3 Col: 3 = 6
Matrix : A Rows: 3 Cols: 3
| 2.00 3.00 -1.00 |
| 4.00 -3.00 2.00 |
| 7.00 5.00 6.00 |
Matrix : ADJ Rows: 3 Cols: 3
| -28.00 -23.00 3.00 |
| -10.00 19.00 -8.00 |
| 41.00 11.00 -18.00 |
Press any key to continue . . .
Enter Input For Matrix : A Rows: 5 Cols: 5
Input For Row: 1 Col: 1 = 0.294118
Input For Row: 1 Col: 2 = 0.980392
Input For Row: 1 Col: 3 = 1.86275
Input For Row: 1 Col: 4 = 2.84314
Input For Row: 1 Col: 5 = 3.62745
Input For Row: 2 Col: 1 = 2.54902
Input For Row: 2 Col: 2 = 3.92157
Input For Row: 2 Col: 3 = 5.09804
Input For Row: 2 Col: 4 = 7.05882
Input For Row: 2 Col: 5 = 9.80392
Input For Row: 3 Col: 1 = 6.66667
Input For Row: 3 Col: 2 = 8.92157
Input For Row: 3 Col: 3 = 10.8824
Input For Row: 3 Col: 4 = 12.6471
Input For Row: 3 Col: 5 = 15.3922
Input For Row: 4 Col: 1 = 12.0588
Input For Row: 4 Col: 2 = 15.098
Input For Row: 4 Col: 3 = 18.1373
Input For Row: 4 Col: 4 = 20.7843
Input For Row: 4 Col: 5 = 24.4118
Input For Row: 5 Col: 1 = 21.1765
Input For Row: 5 Col: 2 = 24.7059
Input For Row: 5 Col: 3 = 27.7451
Input For Row: 5 Col: 4 = 31.0784
Input For Row: 5 Col: 5 = 34.3137
Matrix : A Rows: 5 Cols: 5
| 0.29 0.98 1.86 2.84 3.63 |
| 2.55 3.92 5.10 7.06 9.80 |
| 6.67 8.92 10.88 12.65 15.39 |
| 12.06 15.10 18.14 20.78 24.41 |
| 21.18 24.71 27.75 31.08 34.31 |
Matrix : ADJ Rows: 5 Cols: 5
| -7.39 6.31 -29.55 22.64 -3.87 |
| 2.90 -2.50 42.29 -38.80 9.04 |
| -6.13 -7.32 -11.57 23.39 -8.71 |
| 18.73 -0.78 1.94 -13.03 6.64 |
| -9.54 4.54 -4.61 6.85 -2.86 |
Press any key to continue . . .
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