public matrix_class Transpose()
{
matrix_class mReturnMartix = new matrix_class(ColumnCount, RowCount);
for (int i = 0; i <= mRowCount - 1; i++)
{
for (int j = 0; j <= mColumnCount - 1; j++)
{
mReturnMartix[j, i] = mInnerMatrix[i, j];
}
}
return(mReturnMartix);
}
public static matrix_class operator *(double scalarValue, matrix_class pMatrix)
{
matrix_class returnMartix = new matrix_class(pMatrix.RowCount, pMatrix.ColumnCount);
for (int i = 0; i <= pMatrix.RowCount - 1; i++)
{
for (int j = 0; j <= pMatrix.ColumnCount - 1; j++)
{
returnMartix[i, j] = pMatrix[i, j] * scalarValue;
}
}
return(returnMartix);
}
public bool IsSymetricMatrix()
{
if (!IsSquareMatrix())
{
return(false);
}
matrix_class transposeMatrix = Transpose();
if ((this) == transposeMatrix)
{
return(true);
}
else
{
return(false);
}
}
public static matrix_class operator +(matrix_class pMatrix1, matrix_class pMatrix2)
{
if (!(pMatrix1.RowCount == pMatrix2.RowCount && pMatrix1.ColumnCount == pMatrix2.ColumnCount))
{
throw new Exception("Size Mismatch");
}
matrix_class returnMartix = new matrix_class(pMatrix1.RowCount, pMatrix2.ColumnCount);
for (int i = 0; i <= pMatrix1.RowCount - 1; i++)
{
for (int j = 0; j <= pMatrix1.ColumnCount - 1; j++)
{
returnMartix[i, j] = pMatrix1[i, j] + pMatrix2[i, j];
}
}
return(returnMartix);
}
// Public Shared Operator +=(pMatrix As Matrix) As Matrix
// For i As Integer = 0 To pMatrix.RowCount - 1
// For j As Integer = 0 To pMatrix.ColumnCount - 1
// pMatrix(i, j) += 1
// Next
// Next
// Return pMatrix
// End Operator
// Public Shared Operator -=(pMatrix As Matrix) As Matrix
// For i As Integer = 0 To pMatrix.RowCount - 1
// For j As Integer = 0 To pMatrix.ColumnCount - 1
// pMatrix(i, j) -= 1
// Next
// Next
// Return pMatrix
// End Operator
public static matrix_class operator *(matrix_class pMatrix1, matrix_class pMatrix2)
{
if (pMatrix1.ColumnCount != pMatrix2.RowCount)
{
throw new Exception("Size Mismatch");
}
matrix_class returnMatrix = new matrix_class(pMatrix1.RowCount, pMatrix2.ColumnCount);
for (int i = 0; i <= pMatrix1.RowCount - 1; i++)
{
double[] rowValues = pMatrix1.GetRow(i);
for (int j = 0; j <= pMatrix2.ColumnCount - 1; j++)
{
double[] columnValues = pMatrix2.GetColumn(j);
double value = 0;
for (int a = 0; a <= rowValues.Length - 1; a++)
{
value += rowValues[a] * columnValues[a];
}
returnMatrix[i, j] = value;
}
}
return(returnMatrix);
}
/// <summary>
/// Function to return one dimensional matrix as double
/// </summary>
/// <param name="_inpt_matrix"></param>
/// <returns></returns>
public static double uni_dim_matrix_to_double(matrix_class _inpt_matrix)
{
return(Math.Round(_inpt_matrix[0, 0], 12));
}
