Matrix arithmetic operations

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I am currently attempting to implement Matrix Math for another project I am working on.

However, I am not sure whether this implementation will work. Can someone please tell me if there are any errors with my implementation?

#include <iostream>

#include <vector>

#include <cassert>



using namespace std;



typedef vector<vector<double> > Matrix;



Matrix add(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] + b[i][j];

    }

  }



  return output;

}



Matrix subtract(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] - b[i][j];

    }

  }



  return output;

}



Matrix multiply(Matrix a, double b)

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b;

    }

  }



  return output;

}



Matrix multiply(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b[i][j];

    }

  }



  return output;

}



Matrix dotProduct(Matrix a, Matrix b)

{

  assert(a[0].size() == b.size());



  int numRow = a.size(), numCol = b[0].size();

  Matrix output(numRow, vector<double>(numCol, 0));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      for(unsigned int k = 0; k < a[0].size(); k++)

      {

        output[i][j] += a[i][k] * b[k][j];

      }

    }

  }



  return output;

}



Matrix transpose(Matrix a)

{

  int numRow = a[0].size(), numCol = a.size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[j][i];

    }

  }



  return output;

}



Matrix applyFunc(Matrix a, double (*f)(double))

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = (*f)(a[i][j]);

    }

  }



  return output;

}



int main()

{



}

edited 6 mins ago

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up vote
0
down vote

favorite

I am currently attempting to implement Matrix Math for another project I am working on.

However, I am not sure whether this implementation will work. Can someone please tell me if there are any errors with my implementation?

#include <iostream>

#include <vector>

#include <cassert>



using namespace std;



typedef vector<vector<double> > Matrix;



Matrix add(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] + b[i][j];

    }

  }



  return output;

}



Matrix subtract(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] - b[i][j];

    }

  }



  return output;

}



Matrix multiply(Matrix a, double b)

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b;

    }

  }



  return output;

}



Matrix multiply(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b[i][j];

    }

  }



  return output;

}



Matrix dotProduct(Matrix a, Matrix b)

{

  assert(a[0].size() == b.size());



  int numRow = a.size(), numCol = b[0].size();

  Matrix output(numRow, vector<double>(numCol, 0));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      for(unsigned int k = 0; k < a[0].size(); k++)

      {

        output[i][j] += a[i][k] * b[k][j];

      }

    }

  }



  return output;

}



Matrix transpose(Matrix a)

{

  int numRow = a[0].size(), numCol = a.size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[j][i];

    }

  }



  return output;

}



Matrix applyFunc(Matrix a, double (*f)(double))

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = (*f)(a[i][j]);

    }

  }



  return output;

}



int main()

{



}

edited 6 mins ago

200_success

127k15148411

asked 22 mins ago

kimchiboy03

475

add a comment |

up vote
0
down vote

favorite

I am currently attempting to implement Matrix Math for another project I am working on.

However, I am not sure whether this implementation will work. Can someone please tell me if there are any errors with my implementation?

#include <iostream>

#include <vector>

#include <cassert>



using namespace std;



typedef vector<vector<double> > Matrix;



Matrix add(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] + b[i][j];

    }

  }



  return output;

}



Matrix subtract(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] - b[i][j];

    }

  }



  return output;

}



Matrix multiply(Matrix a, double b)

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b;

    }

  }



  return output;

}



Matrix multiply(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b[i][j];

    }

  }



  return output;

}



Matrix dotProduct(Matrix a, Matrix b)

{

  assert(a[0].size() == b.size());



  int numRow = a.size(), numCol = b[0].size();

  Matrix output(numRow, vector<double>(numCol, 0));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      for(unsigned int k = 0; k < a[0].size(); k++)

      {

        output[i][j] += a[i][k] * b[k][j];

      }

    }

  }



  return output;

}



Matrix transpose(Matrix a)

{

  int numRow = a[0].size(), numCol = a.size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[j][i];

    }

  }



  return output;

}



Matrix applyFunc(Matrix a, double (*f)(double))

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = (*f)(a[i][j]);

    }

  }



  return output;

}



int main()

{



}

edited 6 mins ago

200_success

127k15148411

asked 22 mins ago

kimchiboy03

475

I am currently attempting to implement Matrix Math for another project I am working on.

However, I am not sure whether this implementation will work. Can someone please tell me if there are any errors with my implementation?

#include <iostream>

#include <vector>

#include <cassert>



using namespace std;



typedef vector<vector<double> > Matrix;



Matrix add(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] + b[i][j];

    }

  }



  return output;

}



Matrix subtract(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] - b[i][j];

    }

  }



  return output;

}



Matrix multiply(Matrix a, double b)

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b;

    }

  }



  return output;

}



Matrix multiply(Matrix a, Matrix b)

{

  assert(a.size() == b.size() && a[0].size() == b[0].size());



  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[i][j] * b[i][j];

    }

  }



  return output;

}



Matrix dotProduct(Matrix a, Matrix b)

{

  assert(a[0].size() == b.size());



  int numRow = a.size(), numCol = b[0].size();

  Matrix output(numRow, vector<double>(numCol, 0));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      for(unsigned int k = 0; k < a[0].size(); k++)

      {

        output[i][j] += a[i][k] * b[k][j];

      }

    }

  }



  return output;

}



Matrix transpose(Matrix a)

{

  int numRow = a[0].size(), numCol = a.size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = a[j][i];

    }

  }



  return output;

}



Matrix applyFunc(Matrix a, double (*f)(double))

{

  int numRow = a.size(), numCol = a[0].size();

  Matrix output(numRow, vector<double>(numCol));



  for(int i = 0; i < numRow; i++)

  {

    for(int j = 0; j < numCol; j++)

    {

      output[i][j] = (*f)(a[i][j]);

    }

  }



  return output;

}



int main()

{



}

c++ c++11 matrix

edited 6 mins ago

200_success

127k15148411

asked 22 mins ago

kimchiboy03

475

edited 6 mins ago

200_success

127k15148411

asked 22 mins ago

kimchiboy03

475

edited 6 mins ago

200_success

127k15148411

edited 6 mins ago

200_success

127k15148411

edited 6 mins ago

200_success

127k15148411

asked 22 mins ago

kimchiboy03

475

asked 22 mins ago

kimchiboy03

475

asked 22 mins ago

kimchiboy03

475

add a comment |

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