protected void draw_gridlines(Graphics drawer)
{
Pen gridlinepen = new Pen(Color.FromArgb(130, 0, 0, 0), GRIDLINE_THICKNESS);
NCAMRNode[,] gridpoints = new NCAMRNode[settings.XGridlineCount, settings.YGridlineCount];
double coordinate_dx = (subject.Xmax - subject.Xmin) / (settings.XGridlineCount - 1);
double coordinate_dy = (subject.Ymax - subject.Ymin) / (settings.YGridlineCount - 1);
for (int i = 0; i < settings.XGridlineCount; i++)
{
for (int j = 0; j < settings.YGridlineCount; j++)
{
gridpoints[i, j] = new NCAMRNode(subject.Xmin + i * coordinate_dx, subject.Ymin + j * coordinate_dy, 0);
}
}
for (int i = 0; i < settings.XGridlineCount; i++)
{
for (int j = 0; j < settings.YGridlineCount - 1; j++)
{
//thick grid pen temporary
drawer.DrawLine(gridlinepen, mapGridNode(gridpoints[i, j]), mapGridNode(gridpoints[i, j + 1]));
}
}
for (int i = 0; i < settings.YGridlineCount; i++)
{
for (int j = 0; j < settings.XGridlineCount - 1; j++)
{
//thick grid pen temporary
drawer.DrawLine(gridlinepen, mapGridNode(gridpoints[j + 1, i]), mapGridNode(gridpoints[j, i]));
}
}
}
public static double NormDifference(NCGrid_Distribution A, NCGrid_Distribution B)
{
NCGrid_Distribution newgrid = new NCGrid_Distribution(A.Bounds, A.Xcount + 1, A.Ycount + 1);
int n = newgrid.Ycount;
int m = newgrid.Xcount;
double xmin = newgrid.Xmin;
double xmax = newgrid.Xmax;
double ymin = newgrid.Ymin;
double ymax = newgrid.Ymax;
NCAMRNode ll = new NCAMRNode(xmin, ymin, 0);
NCAMRNode lr = new NCAMRNode(xmax, ymin, 0);
NCAMRNode ul = new NCAMRNode(xmin, ymax, 0);
NCAMRNode ur = new NCAMRNode(xmax, ymax, 0);
newgrid[0, 0] = ll;
newgrid[0, n - 1] = ul;
newgrid[m - 1, 0] = lr;
newgrid[m - 1, n - 1] = ur;
for (int i = 0; i < A.Xcount - 1; i++)
{
newgrid[i + 1, 0] = xyavg(A[i, 0], A[i + 1, 0]);
newgrid[i + 1, A.Ycount] = xyavg(A[i, A.Ycount - 1], A[i + 1, A.Ycount - 1]);
}
for (int j = 0; j < A.Ycount - 1; j++)
{
newgrid[0, j + 1] = xyavg(A[0, j], A[0, j + 1]);
newgrid[A.Xcount, j + 1] = xyavg(A[A.Xcount - 1, j], A[A.Xcount - 1, j + 1]);
}
for (int i = 0; i < A.Xcount - 1; i++)
{
for (int j = 0; j < A.Ycount - 1; j++)
{
newgrid[i + 1, j + 1] = xyavg(A[i, j], A[i + 1, j], A[i, j + 1], A[i + 1, j + 1]);
}
}
double accumulator = 0;
for (int i = 0; i < m - 1; i++)
{
for (int j = 0; j < n - 1; j++)
{
NCAMRNode[] nodes =
{
newgrid[i, j],
newgrid[i + 1, j],
newgrid[i + 1, j + 1],
newgrid[i, j + 1]
};
double[] x = new double[nodes.Length];
double[] y = new double[nodes.Length];
for (int z = 0; z < nodes.Length; z++)
{
x[z] = nodes[z].X;
y[z] = nodes[z].Y;
}
accumulator += quad_area(x, y) * (A[i, j].Value - B[i, j].Value) * (A[i, j].Value - B[i, j].Value);
}
}
return(Math.Sqrt(accumulator));
}
public static NCGrid_Distribution from_file(string title, bool using_full_path)
{
string path = Paths.DistributionRepo + "\\" + title + ".dist";
if (using_full_path)
{
path = title;
}
string[] contents = File.ReadAllLines(path);
int length = contents.Length;
RBounds2D new_bounds = RBounds2D.fromstring(contents[0]);
string[] numbers = contents[1].Split(':');
int nx, ny;
if (!(int.TryParse(numbers[1], out nx) && int.TryParse(numbers[3], out ny)))
{
throw new Exception("File format error");
}
NCGrid_Distribution created = new NCGrid_Distribution(new_bounds, nx, ny);
for (int q = additional_file_lines; q < contents.Length; q++)
{
int qprime = q - additional_file_lines;
int i = qprime % nx;
int j = (qprime - i) / nx;
created[i, j] = NCAMRNode.fromstring(contents[q]);
}
return(created);
}
private void generate_nodes(double preset_value)
{
dx = (bounds.Xmax - bounds.Xmin) / (x_node_count - 1);
dy = (bounds.Ymax - bounds.Ymin) / (y_node_count - 1);
minval = preset_value;
maxval = preset_value;
for (int i = 0; i < x_node_count; i++)
{
for (int j = 0; j < y_node_count; j++)
{
NCAMRNode newnode = new NCAMRNode(bounds.Xmin + i * dx, bounds.Ymin + j * dy, preset_value);
nodes[i, j] = newnode;
}
}
}
private bool in_y_polygon_assume_right(int lowerbound, double x, double y)
{
bool odd = false;
for (int i = 0; i < Xcount; i++)
{
NCAMRNode tracker = nodes[i, lowerbound];
double track_x = tracker.X;
double track_y = tracker.Y;
if (((track_x > x) != odd) && track_y > y)
{
odd = !odd;
}
}
return(odd);
}
public double interpolate_at(double x, double y)
{
if (x < bounds.Xmin || x > bounds.Xmax || y < bounds.Ymin || y > bounds.Ymax)
{
throw new Exception("Error: Extrapolation prevented.");
}
else
{
int i = get_x_ll_index(x, y);
int j = get_y_ll_index(x, y);
if (i >= Xcount - 1)
{
i--;
}
if (j >= Ycount - 1)
{
j--;
}
NCAMRNode n1 = nodes[i, j];
NCAMRNode n2 = nodes[i + 1, j];
NCAMRNode n3 = nodes[i + 1, j + 1];
NCAMRNode n4 = nodes[i, j + 1];
double[] weights =
{
Math.Exp(-sq(x - n1.X) - sq(y - n1.Y)),
Math.Exp(-sq(x - n2.X) - sq(y - n2.Y)),
Math.Exp(-sq(x - n3.X) - sq(y - n3.Y)),
Math.Exp(-sq(x - n4.X) - sq(y - n4.Y))
};
double[] vals =
{
n1.Value,
n2.Value,
n3.Value,
n4.Value
};
double acc_top = 0;
double acc_bottom = 0;
for (int q = 0; q < vals.Length; q++)
{
acc_bottom += weights[q];
acc_top += weights[q] * vals[q];
}
return(acc_top / acc_bottom);
}
}
public Vector3 estimate_num_graident(int i, int j, DerivativeEstimationMode mode)
{
//will need to add in edge cases. Ignore for now.
switch (mode)
{
case DerivativeEstimationMode.GFDM:
{
//lacks implementation
return(Vector3.Zero);
}
case DerivativeEstimationMode.TAYLOR_SURPLUS_UPPER_RIGHT:
{
//clean this up???
NCAMRNode[] stencil =
{
nodes[i, j],
nodes[i + 1, j],
nodes[i, j + 1],
nodes[i - 1, j],
nodes[i, j - 1],
nodes[i + 1, j + 1]
};
double[] deltas_u =
{
stencil[1].Value - stencil[0].Value,
stencil[2].Value - stencil[0].Value,
stencil[3].Value - stencil[0].Value,
stencil[4].Value - stencil[0].Value,
stencil[5].Value - stencil[0].Value
};
double[] deltas_x =
{
stencil[1].X - stencil[0].X,
stencil[2].X - stencil[0].X,
stencil[3].X - stencil[0].X,
stencil[4].X - stencil[0].X,
stencil[5].X - stencil[0].X
};
double[] deltas_y =
{
stencil[1].Y - stencil[0].Y,
stencil[2].Y - stencil[0].Y,
stencil[3].Y - stencil[0].Y,
stencil[4].Y - stencil[0].Y,
stencil[5].Y - stencil[0].Y
};
double[] matrix_contents =
{
deltas_x[0], deltas_y[0], 0.5 * sq(deltas_x[0]), 0.5 * sq(deltas_x[0]), deltas_x[0] * deltas_y[0],
deltas_x[1], deltas_y[1], 0.5 * sq(deltas_x[1]), 0.5 * sq(deltas_x[1]), deltas_x[1] * deltas_y[1],
deltas_x[2], deltas_y[2], 0.5 * sq(deltas_x[2]), 0.5 * sq(deltas_x[2]), deltas_x[2] * deltas_y[2],
deltas_x[3], deltas_y[3], 0.5 * sq(deltas_x[3]), 0.5 * sq(deltas_x[3]), deltas_x[3] * deltas_y[3],
deltas_x[4], deltas_y[4], 0.5 * sq(deltas_x[4]), 0.5 * sq(deltas_x[4]), deltas_x[4] * deltas_y[4]
};
Matrix delta = new Matrix(5, 1);
return(Vector3.Zero);
}
case DerivativeEstimationMode.WEIGHTFUNCTION:
{
return(Vector3.Zero);
}
case DerivativeEstimationMode.NAIVE:
{
double delta_x = (bounds.Xmax - bounds.Xmin) / (Xcount - 1);
double delta_y = (bounds.Ymax - bounds.Ymin) / (Ycount - 1);
NCAMRNode node = nodes[i, j];
double dzdx = (this.interpolate_at(node.X + delta_x, node.Y) - this.interpolate_at(node.X - delta_x, node.Y)) / (2 * delta_x);
double dzdy = (this.interpolate_at(node.X, node.Y + delta_y) - this.interpolate_at(node.X, node.Y - delta_y)) / (2 * delta_x);
return(new Vector3(dzdx, dzdy, 0));
}
default:
{
return(Vector3.Zero);
}
}
}
protected PointF mapGridNode(NCAMRNode toMap)
{
return(new PointF(grid_xmin + pix_per_unit_x * (float)(toMap.X - subject.Xmin), grid_ymin + pix_per_unit_y * (float)((subject.Ymax - toMap.Y))));
}
public NCAMRNode Clone()
{
NCAMRNode b = new NCAMRNode(x, y, node_value);
return(b);
}
