#### Distance Formula

d
```package com.thealgorithms.maths;

public final class DistanceFormula {
private DistanceFormula() {
}

public static double euclideanDistance(double x1, double y1, double x2, double y2) {
double dX = Math.pow(x2 - x1, 2);
double dY = Math.pow(y2 - x1, 2);
return Math.sqrt(dX + dY);
}

public static double manhattanDistance(double x1, double y1, double x2, double y2) {
return Math.abs(x1 - x2) + Math.abs(y1 - y2);
}

public static int hammingDistance(int[] b1, int[] b2) {
int d = 0;

if (b1.length != b2.length) {
return -1; // error, both arrays must have the same length
}

for (int i = 0; i < b1.length; i++) {
d += Math.abs(b1[i] - b2[i]);
}

return d;
}

public static double minkowskiDistance(double[] p1, double[] p2, int p) {
double d = 0;
double distance = 0.0;

if (p1.length != p2.length) {
return -1; // error, both arrays must have the same length
}

for (int i = 0; i < p1.length; i++) {
distance += Math.abs(Math.pow(p1[i] - p2[i], p));
}

distance = Math.pow(distance, (double) 1 / p);
d = distance;
return d;
}
}
```