package Maths;/** @see <a href="https://en.wikipedia.org/wiki/Combination">Combination</a> */public class Combinations {public static void main(String[] args) {assert combinations(1, 1) == 1;assert combinations(10, 5) == 252;assert combinations(6, 3) == 20;assert combinations(20, 5) == 15504;// Since, 200 is a big number its factorial will go beyond limits of long even when 200C5 can be saved in a long// variable. So below will fail// assert combinations(200, 5) == 2535650040l;assert combinationsOptimized(100, 0) == 1;assert combinationsOptimized(1, 1) == 1;assert combinationsOptimized(10, 5) == 252;assert combinationsOptimized(6, 3) == 20;assert combinationsOptimized(20, 5) == 15504;assert combinationsOptimized(200, 5) == 2535650040l;}/*** Calculate of factorial** @param n the number* @return factorial of given number*/public static long factorial(int n) {if (n < 0) {throw new IllegalArgumentException("number is negative");}return n == 0 || n == 1 ? 1 : n * factorial(n - 1);}/*** Calculate combinations** @param n first number* @param k second number* @return combinations of given {@code n} and {@code k}*/public static long combinations(int n, int k) {return factorial(n) / (factorial(k) * factorial(n - k));}/*** The above method can exceed limit of long (overflow) when factorial(n) is larger than limits of long variable.* Thus even if nCk is within range of long variable above reason can lead to incorrect result.* This is an optimized version of computing combinations.* Observations:* nC(k + 1) = (n - k) * nCk / (k + 1)* We know the value of nCk when k = 1 which is nCk = n* Using this base value and above formula we can compute the next term nC(k+1)* @param n* @param k* @return nCk*/public static long combinationsOptimized(int n, int k) {if (n < 0 || k < 0) {throw new IllegalArgumentException("n or k can't be negative");}if (n < k) {throw new IllegalArgumentException("n can't be smaller than k");}// nC0 is always 1long solution = 1;for(int i = 0; i < k; i++) {long next = (n - i) * solution / (i + 1);solution = next;}return solution;}}
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