/*
* Display
*/
public static void Print(Matrix m)
{
for (int l = 0; l < m.Height(); l++)
{
Console.Write("[ " + centeredString(m.get(l, 0).ToString(), 6));
for (int c = 1; c < m.Width(); c++)
{
Console.Write(", " + centeredString(m.get(l, c).ToString(), 6));
}
Console.Write("]\n");
}
Console.Write("\n");
}
public static Matrix GibbsSampling(Matrix GoalFunc, int tryn)
{
Random r = new Random();
int[] sample = new int[tryn];
int point = r.Next(0, 19);
int newpoint;
for (int i = 0; i < tryn; i++)
{
sample[i] = point;
newpoint = JumpPointGibbs(point, r, GoalFunc);
double ttt = GoalFunc.get(0, newpoint) / (GoalFunc.get(0, newpoint) + GoalFunc.get(0, point));
point = newpoint;
}
double[,] sumnum = new double[1, 20];
for (int i = 0; i < 20; i++)
{
sumnum[0, i] = 0;
}
for (int i = 0; i < tryn; i++)
{
if (sample[i] == -1)
{
}
else
{
sumnum[0, sample[i]]++;
}
}
Matrix getdist = new Matrix(sumnum);
getdist.toProbabilty();
return getdist;
}
public static Matrix Transpose(Matrix a)
{
Matrix result = new Matrix(a.Width(), a.Height());
for (int i = 0; i < a.Height(); i++)
{
for (int j = 0; j < a.Width(); j++)
{
result.set(j, i, a.get(i, j));
}
}
return(result);
}
public static Matrix Map(Matrix m, Func <double, double> func)
{
Matrix result = new Matrix(m.Height(), m.Width());
for (int i = 0; i < m.Height(); i++)
{
for (int j = 0; j < m.Width(); j++)
{
result.set(i, j, func(m.get(i, j)));
}
}
return(result);
}
/// <summary>
/// Add another matrix to the instance
/// </summary>
/// <param name="m">Matrix to add</param>
/// <exception cref="MatrixException">Dimension not egual</exception>
public void Add(Matrix m)
{
if (Width() != m.Width() || Height() != m.Height())
{
throw new MatrixException("Dimension not egual");
}
for (int c = 0; c < Width(); c++)
{
for (int l = 0; l < Height(); l++)
{
_matrix[l, c] += m.get(l, c);
}
}
}
public static double Dot(Matrix a, Matrix b)
{
if (!(a.Height() == 1 && b.Width() == 1 && a.Width() == b.Height()))
{
throw new MatrixException("Dot product incompatible");
}
double result = 0;
for (int i = 0; i < a.Width(); i++)
{
result += a.get(0, i) * b.get(i, 0);
}
return(result);
}
public static Matrix Sub(Matrix a, Matrix b)
{
if (a.Width() != b.Width() || a.Height() != b.Height())
{
throw new MatrixException("Dimension not egual");
}
Matrix m = new Matrix(a.Height(), a.Width());
for (int l = 0; l < a.Height(); l++)
{
for (int c = 0; c < a.Width(); c++)
{
m.set(l, c, a.get(l, c) - b.get(l, c));
}
}
return(m);
}
public static Matrix Mult(Matrix a, Matrix b)
{
if (a.Width() != b.Height())
{
throw new MatrixException("Width is not egual to the Height (" + a.Width() + ", " + b.Height() + ")");
}
Matrix tmp = new Matrix(a.Height(), b.Width());
for (int l = 0; l < tmp.Height(); l++)
{
for (int c = 0; c < tmp.Width(); c++)
{
for (int k = 0; k < b.Height(); k++)
{
tmp.set(l, c, tmp.get(l, c) + a.get(l, k) * b.get(k, c));
}
}
}
return(tmp);
}
public static int JumpPointGibbs(int point, Random r, Matrix GoalFunc)
{
RandomLi rl = new RandomLi(r);
int[] gfsize = GoalFunc.getSize();
double[] varprob = new double[gfsize[1]];
for (int i = 0; i < gfsize[1]; i++)
{
varprob[i] = GoalFunc.get(new int[] { 0, i });
}
return rl.NextfromProbMass(varprob);
}
public static Matrix RejectionSampling(Matrix GoalFunc, int tryn)
{
Random r = new Random();
int[] sample = new int[tryn];
double rejectionprob;
int point;
for (int i = 0; i < tryn; i++)
{
point = r.Next(0, 19);
rejectionprob = r.NextDouble();
if (rejectionprob > GoalFunc.get(0, point))
{
sample[i] = -1;
}
else
{
sample[i] = point;
}
}
double[,] sumnum = new double[1,20];
for (int i = 0; i < 20; i++)
{
sumnum[0,i] = 0;
}
for (int i = 0; i < tryn; i++)
{
if (sample[i] == -1)
{
}
else
{
sumnum[0,sample[i]]++;
}
}
Matrix getdist = new Matrix(sumnum);
getdist.toProbabilty();
return getdist;
}
