C++ replacing matrix values with sub-matrix values - c++

Question

I have a University assignment whereby I have a 1D array, containing 262144 values. I've created a matrix class which places these values into an object with the datasource being the double* list of 262144 values.
I need to be able to obtain a sub-matrix (which I'm able to do) from ANOTHER set of 262144 values (which I've also placed into a matrix object).
However, I'm having serious trouble and I've been trying so hard for the last 3 days to try and replace original matrix values from a sub-matrix. I've tried passing by reference, creating Matrix*'s. I've tried everything we've been taught and even researched a few more methods, all of which I haven't understood. I'll throw my code in here to see if anyone can explain a method to me which will be able to do this.
Matrix::Matrix()
{
"Matrix::Matrix() is invoked";
}
Matrix::Matrix(const Matrix& m)
{
"Matrix::Matrix(const Matrix&) is invoked";
_M = m._M;
_N = m._N;
_data = new double[_M*_N];
for (int i = 0; i < _M*_N; i++)
{
_data[i] = m._data[i];
}
}
Matrix::Matrix(int sizeR, int sizeC, double *input_data)
{
"Matrix::Matrix(int sizeR, int sizeC, double *input_data is invoked";
_M = sizeR;
_N = sizeC;
_data = new double[_M*_N];
for (int i = 0; i < _M*_N; i++)
{
_data[i] = input_data[i];
}
}
Matrix Matrix::get_Block(int start_row, int end_row, int start_coloumn, int end_coloumn)
{
int rows = (end_row - start_row);
int columns = (end_coloumn - start_coloumn);
int ctr = 0;
double *temp_Data = new double[rows*columns];
for (int x = start_row; x < (rows + start_row); x++)
{
for (int y = start_coloumn; y < (columns + start_coloumn); y++)
{
temp_Data[ctr] = get(x, y);
ctr++;
}
}
Matrix block(rows, columns, temp_Data);
delete[] temp_Data;
return block;
}
Matrix Matrix::operator+(const Matrix & other)
{
Matrix temp;
temp._M = other._M;
temp._N = other._N;
temp._data = new double[temp._M*temp._N];
for (int x = 0; x < (temp._M*temp._N); x++)
{
temp._data[x] = this->_data[x] + other._data[x];
}
return temp;
}
Matrix Matrix::operator*(const Matrix & other)
{
Matrix temp;
temp._M = other._M;
temp._N = other._N;
temp._data = new double[temp._M*temp._N];
for (int x = 0; x < (temp._M*temp._N); x++)
{
temp._data[x] = this->_data[x] * other._data[x];
}
return temp;
}
Matrix Matrix::operator-(const Matrix & other)
{
Matrix temp;
temp._M = other._M;
temp._N = other._N;
temp._data = new double[temp._M*temp._N];
for (int x = 0; x < (temp._M*temp._N); x++)
{
temp._data[x] = this->_data[x] - other._data[x];
}
return temp;
}
void Matrix::replace_Block(Matrix& noisy, Matrix& shuffled,int k, int j, int i)
{
int val_to_replace = 0;
for (int i = 0; i < 3 * 3; i++)
{
val_to_replace = shuffled.get(i, j);
noisy.set(i, j, val_to_replace);
}
}
void Matrix::set_Block(Matrix block, Matrix& Noisy, int start_row, int end_row)
{
int ctr = 0;
int ctr2 = 0;
int ctr3 = 0;
for (int i = 0; i < 3; i++)
{
Noisy._data[(start_row*_M)+i+4] = block.get(i, ctr);
ctr++;
}
for (int j = 0; j < 3; j++)
{
Noisy._data[((start_row + 1)*_M) + j + 3] = block.get(j, ctr2);
ctr2++;
}
for (int j = 0; j < 3; j++)
{
Noisy._data[((start_row + 1)*_M) + j + 2] = block.get(j, ctr3);
ctr3++;
}
}
double Matrix::get_Sum(Matrix m)
{
double total = 0;
short row = m.get_M();
short column = m.get_N();
for (int j = 0; j < row; j++)
{
for (int i = 0; i < column; i++)
{
total += m.get(j,i);
}
}
return total;
}
double Matrix::get_Sum(Matrix* m)
{
double total = 0;
short row = m->get_M();
short column = m->get_N();
for (int j = 0; j < row; j++)
{
for (int i = 0; i < column; i++)
{
total += m->get(i, j);
}
}
return total;
}
double Matrix::get(int i, int j)
{
return _data[(i * _M) + j];
}
void Matrix::write_Block(int i, int j)
{
for (int ctr = 0; ctr < i; ctr++)
{
for (int ctr2 = 0; ctr2 < j; ctr2++)
{
std::cout << " " << this->get(ctr,ctr2);
}
std::cout << std::endl;
}
}
void Matrix::set(int i, int j, double val)
{
this->_data[(i*_M) + j] = val;
}
void Matrix::set_N(int N)
{
_N = N;
}
void Matrix::set_M(int M)
{
_M = M;
}
int Matrix::get_N()
{
return _N;
}
int Matrix::get_M()
{
return _M;
}
Matrix::~Matrix()
{
"Matrix::~Matrix() is invoked";
delete[] _data;
}
If it would be helpful to see main() I can supply that too, however all it really contains is the creation of the matrix objects using overloaded constructors.
explanation

Answer 1

Answer is only 4 years late . . .
Anyway. Maybe it will help somebody else. The secret is to use a std::valarray. With that it is utmost simple to work on a matrix. And, many many functions are available.
All the functions that you want to implement are already available.
And you sub-matrix coy can be a one liner . . .
Please see example code:
#include <iostream>
#include <algorithm>
#include <numeric>
#include <valarray>
#include <iomanip>
constexpr size_t NRows = 6;
constexpr size_t NCols = 8;
constexpr size_t SubNRows = 2;
constexpr size_t SubNCols = 3;
void debugPrint(std::valarray<int> &v, size_t nrows = NRows, size_t ncols = NCols)
{
for (int r = 0; r < nrows; ++r) {
for (int c = 0; c < ncols; ++c)
std::cout << std::setw(3) << v[r*ncols+c] << ' ';
std::cout << '\n';
}
std::cout << '\n';
}
int main()
{
std::valarray<int> v1(NRows * NCols); // Define array with given size
std::iota(std::begin(v1),std::end(v1),0); // Fill the array with consecutive nunbers
debugPrint (v1); // Print the result
std::cout << "\nSum = " << v1.sum() << "\n\n"; // Print the sum of all values in matrix
std::valarray<int> v2(v1); // Create a 2nd matrix as a copy to the first
v2 += 100; // Add 100 to each value in the matrix
debugPrint(v2);
std::valarray<int> v3(NCols); // Get one column
v3 = v1[std::slice(2,NRows,NCols)];
debugPrint(v3,NRows,1);
std::valarray<int> subV2(SubNRows*SubNCols); // So, now the sub array
subV2 = v2[std::gslice(12,{SubNRows, SubNCols},{NCols,1})]; // Slice it out
debugPrint(subV2, SubNRows, SubNCols);
v1[std::gslice(25,{SubNRows, SubNCols},{NCols,1})] = subV2; // And copy to the first array
debugPrint (v1);
return 0;
}