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StochasticMatrix.java
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74 lines (66 loc) · 2.11 KB
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package com.thealgorithms.matrix;
/**
* Utility class to check whether a matrix is stochastic.
* A matrix is stochastic if all its elements are non-negative
* and the sum of each row or column is equal to 1.
*Reference: https://en.wikipedia.org/wiki/Stochastic_matrix
*/
public final class StochasticMatrix {
private static final double TOLERANCE = 1e-9;
private StochasticMatrix() {
// Utility class
}
/**
* Checks if a matrix is row-stochastic.
*
* @param matrix the matrix to check
* @return true if the matrix is row-stochastic
* @throws IllegalArgumentException if matrix is null or empty
*/
public static boolean isRowStochastic(double[][] matrix) {
validateMatrix(matrix);
for (double[] row : matrix) {
double sum = 0.0;
for (double value : row) {
if (value < 0) {
return false;
}
sum += value;
}
if (Math.abs(sum - 1.0) > TOLERANCE) {
return false;
}
}
return true;
}
/**
* Checks if a matrix is column-stochastic.
*
* @param matrix the matrix to check
* @return true if the matrix is column-stochastic
* @throws IllegalArgumentException if matrix is null or empty
*/
public static boolean isColumnStochastic(double[][] matrix) {
validateMatrix(matrix);
int rows = matrix.length;
int cols = matrix[0].length;
for (int j = 0; j < cols; j++) {
double sum = 0.0;
for (int i = 0; i < rows; i++) {
if (matrix[i][j] < 0) {
return false;
}
sum += matrix[i][j];
}
if (Math.abs(sum - 1.0) > TOLERANCE) {
return false;
}
}
return true;
}
private static void validateMatrix(double[][] matrix) {
if (matrix == null || matrix.length == 0 || matrix[0].length == 0) {
throw new IllegalArgumentException("Matrix must not be null or empty");
}
}
}