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Connected.Components/Components/Chart/Interpolation/MatrixSolver.cs

90 lines
2.1 KiB

/*
* Work in this file is derived from code originally written by Hans-Peter Moser:
* http://www.mosismath.com/Basics/Basics.html
* http://www.mosismath.com/Matrix_Gauss/MatrixGauss.html
*/
namespace Connected.Components;
// Matrix equation solver using the Gaussian elimination algorithm
public class MatrixSolver
{
public readonly Matrix m;
public readonly int maxOrder;
public bool calcError;
public MatrixSolver(int size, Matrix mi)
{
maxOrder = size;
m = mi;
}
void SwitchRows(int n)
{
double tempD;
int i, j;
for (i = n; i <= maxOrder - 2; i++)
{
for (j = 0; j <= maxOrder - 1; j++)
{
tempD = m.a[i, j];
m.a[i, j] = m.a[i + 1, j];
m.a[i + 1, j] = tempD;
}
tempD = m.y[i];
m.y[i] = m.y[i + 1];
m.y[i + 1] = tempD;
}
}
public bool Eliminate()
{
int i, k, l;
calcError = false;
for (k = 0; k <= maxOrder - 2; k++)
{
for (i = k; i <= maxOrder - 2; i++)
{
if (Math.Abs(m.a[i + 1, i]) < 1e-8)
{
SwitchRows(i + 1);
}
if (m.a[i + 1, k] != 0.0)
{
for (l = k + 1; l <= maxOrder - 1; l++)
{
if (!calcError)
{
m.a[i + 1, l] = m.a[i + 1, l] * m.a[k, k] - m.a[k, l] * m.a[i + 1, k];
if (m.a[i + 1, l] > 10E260)
{
m.a[i + 1, k] = 0;
calcError = true;
}
}
}
m.y[i + 1] = m.y[i + 1] * m.a[k, k] - m.y[k] * m.a[i + 1, k];
m.a[i + 1, k] = 0;
}
}
}
return !calcError;
}
public void Solve()
{
int k, l;
for (k = maxOrder - 1; k >= 0; k--)
{
for (l = maxOrder - 1; l >= k; l--)
{
m.y[k] = m.y[k] - m.x[l] * m.a[k, l];
}
if (m.a[k, k] != 0)
m.x[k] = m.y[k] / m.a[k, k];
else
m.x[k] = 0;
}
}
}