public static VectorR GaussJordan(MatrixR A, VectorR b)
{
Triangulate(A, b);
int n = b.GetSize();
VectorR x = new VectorR(n);
for (int i = n - 1; i >= 0; i--)
{
double d = A[i, i];
if (Math.Abs(d) < 1.0e-500)
{
throw new ArgumentException("Diagonal element is too small!");
}
x[i] = (b[i] - VectorR.DotProduct(A.GetRowVector(i), x)) / d;
}
return(x);
}
public static VectorR TriVectorProduct(VectorR v1, VectorR v2, VectorR v3)
{
if (v1.size != 3)
{
throw new ArgumentOutOfRangeException(
"v1", v1, "Vector v1 must be 3 dimensional!");
}
if (v1.size != 3)
{
throw new ArgumentOutOfRangeException(
"v2", v2, "Vector v2 must be 3 dimensional!");
}
if (v1.size != 3)
{
throw new ArgumentOutOfRangeException(
"v3", v3, "Vector v3 must be 3 dimensional!");
}
return(v2 * VectorR.DotProduct(v1, v3) - v3 * VectorR.DotProduct(v1, v2));
}
public static MatrixR operator *(MatrixR m1, MatrixR m2)
{
if (m1.GetCols() != m2.GetRows())
{
throw new ArgumentOutOfRangeException(
"Columns", m1, "The numbers of columns of the first matrix must be equal to" +
" the number of rows of the second matrix!");
}
MatrixR result = new MatrixR(m1.GetRows(), m2.GetCols());
VectorR v1 = new VectorR(m1.GetCols());
VectorR v2 = new VectorR(m2.GetRows());
for (int i = 0; i < m1.GetRows(); i++)
{
v1 = m1.GetRowVector(i);
for (int j = 0; j < m2.GetCols(); j++)
{
v2 = m2.GetColVector(j);
result[i, j] = VectorR.DotProduct(v1, v2);
}
}
return(result);
}
