Java Utililty Methods Gauss

List of utility methods to do Gauss

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Description

The list of methods to do Gauss are organized into topic(s).

Method

doublegaussianPDF(double mu, double sigma, double x)
gaussian PDF 
double val_exp = -0.5 * ((x - mu) / sigma) * ((x - mu) / sigma);
double val = 1 / sigma * Math.exp(val_exp);
return _checkBounded(val);
doublegaussianWindow(double mean1, double mean2, double std)
Evaluate a Gaussian window function with the given mean range and standard deviation. 
double fraction = (mean2 - mean1) / std;
double exponent = -(fraction * fraction) / 2.0;
return Math.exp(exponent);
intgaussJordanElimination(boolean[][] matrix)
same as gaussJordanElimination(boolean[][] matrix, int upToRow, int upToCol) but on full matrix 
if (matrix == null) {
    return -1;
return gaussJordanElimination(matrix, matrix.length, matrix[0].length);
double[]gaussTable(final int steps)
Returns an array of gaussian values that add up to 1 for the number of steps Solves the problem of having using an intergral to distribute values 
final double[] table = new double[steps];
final double step = 1D / steps;
double sum = 0;
for (int i = 0; i < steps; i++) {
    sum += gaussian(i * step);
for (int i = 0; i < steps; i++) {
    table[i] = gaussian(i * step) / sum;
...