public static GenTensor <T, TWrapper> MatrixDivide(GenTensor <T, TWrapper> a, GenTensor <T, TWrapper> b)
{
#if ALLOW_EXCEPTIONS
if (!a.IsSquareMatrix || !b.IsSquareMatrix)
{
throw new InvalidShapeException("Both should be square matrices");
}
if (a.Shape != b.Shape)
{
throw new InvalidShapeException("Given matrices should be of the same shape");
}
#endif
var fwd = b.Forward();
fwd.InvertMatrix();
return(MatrixMultiplication <T, TWrapper> .Multiply(a, fwd));
}
public static GenTensor <T, TWrapper> MatrixPower(GenTensor <T, TWrapper> m, int power, Threading threading)
{
#if ALLOW_EXCEPTIONS
if (!m.IsSquareMatrix)
{
throw new InvalidShapeException("Square matrix required");
}
#endif
if (power == 0)
{
return(Constructors <T, TWrapper> .CreateIdentityMatrix(m.Shape.shape[0]));
}
if (power < 0)
{
m = m.Forward();
m.InvertMatrix();
power *= -1;
}
if (power == 1)
{
return(m);
}
if (power == 2)
{
return(MatrixMultiplication <T, TWrapper> .Multiply(m, m, threading));
}
var half = power / 2;
var m1 = MatrixPower(m, half, threading);
var dotted = MatrixMultiplication <T, TWrapper> .Multiply(m1, m1, threading);
if (power % 2 == 0)
{
return(dotted);
}
else
{
return(MatrixMultiplication <T, TWrapper> .Multiply(dotted, m, threading));
}
}
