public static double Convolution(double x, FunctionLib.Function f, FunctionLib.Function g, int GridSize, double a)
{
Vector grid = Vector.CreateUniformGrid(GridSize, a, x);
Vector fg = new Vector(GridSize);
double h = grid[1] - grid[0];
for (int i = 0; i < GridSize; i++)
{
fg[i] = f(grid[i]) * g(x - grid[i]);
}
return(Integrate.Simpson(fg.ToArray, h));
}
public static double Convolution(double x, FunctionLib.Function f, FunctionLib.Function g, Grid grid)
{
int GridSize = grid.Count;
Vector fg = new Vector(GridSize);
double h = grid[1] - grid[0];
for (int i = 0; i < GridSize; i++)
{
fg[i] = f(grid[i]) * g(x - grid[i]);
}
return(Integrate.Simpson(fg.ToArray, h));
}
public static Matrix GrdientProjectionByF(Matrix f_old, Matrix KSI, double alpha, double R, double h, double tau)
{
int N = f_old.Length.n;
int M = f_old.Length.m;
double I = 0;
Matrix T = new Matrix(N, M);
Matrix f_new = new Matrix(N, M);
for (int i = 0; i < N; i++)
{
for (int j = 0; j < M; j++)
{
T[i, j] = Math.Pow(Math.Abs(f_old[i, j] - alpha * KSI[i, j]), 2);
}
}
I = Integrate.IntegrateSurface(T, tau, h);
if (I <= R * R)
{
for (int i = 0; i < N; i++)
{
for (int j = 0; j < M; j++)
{
f_new[i, j] = f_old[i, j] - alpha * KSI[i, j];
}
}
}
else
{
for (int i = 0; i < N; i++)
{
for (int j = 0; j < M; j++)
{
f_new[i, j] = R * (f_old[i, j] - alpha * KSI[i, j]) / Math.Sqrt(I);
}
}
}
return(f_new);
}
