public void Add(IntegerMatrix other)
{
for (int i = 0; i < RowSize; i++)
{
for (int j = 0; j < ColumnSize; j++)
{
Replace(i, j, Get(i, j) + other.Get(i, j));
}
}
}
//TODO: classify multiplications to have the products be as explicit as possible.
//im sure theres a better way to do this lol
public SquareIntegerMatrix Multiply(SquareIntegerMatrix other)
{
IntegerMatrix product = Multiply(other as IntegerMatrix);
SquareIntegerMatrix ret = new SquareIntegerMatrix(other.RowSize);
for (int i = 0; i < RowSize; i++)
{
for (int j = 0; j < RowSize; j++)
{
ret.Replace(i, j, product.Get(i, j));
}
}
return(ret);
}
//TODO: Be able to cast a nxn as a squareintegermatrix or a 1xn as a row vector etc.
public static IntegerMatrix Sum(IntegerMatrix obj1, IntegerMatrix obj2)
{
if (!SizeParity(obj1, obj2))
{
throw new ArgumentException("The matrices were not in the same dimension.");
}
else
{
IntegerMatrix ret = new IntegerMatrix(obj1.RowSize, obj1.ColumnSize);
ret.Add(obj1);
ret.Add(obj2);
return(ret);
}
}
//TODO: Test this. Pretty sure it works?
public IntegerMatrix Multiply(IntegerMatrix other)
{
if (!CanMultiply(other))
{
throw new MultiplicationDimensionMismatchException(); //todo
}
else
{
IntegerMatrix ret = new IntegerMatrix(RowSize, other.ColumnSize);
for (int i = 0; i < RowSize; i++)
{
for (int j = 0; j < other.ColumnSize; j++)
{
int[] ro = GetRow(i).ToArray <int>();
int[] co = other.GetColumn(j).ToArray <int>();
IntegerRowVector v = new IntegerRowVector(ro);
IntegerColumnVector w = new IntegerColumnVector(co);
ret.Replace(i, j, VectorMath.DotProduct <int>(v, w));
}
}
return(ret);
}
}
