package me.ramswaroop.arrays;
/**
* Created by IntelliJ IDEA.
*
* @author: ramswaroop
* @date: 5/20/15
* @time: 2:36 PM
*/
/**
* The algorithm for finding a possible candidate
* works in O(n) which is known as Moore’s Voting Algorithm.
* Basic idea of the algorithm is if we cancel out each
* occurrence of an element e with all the other elements
* that are different from e then e will exist till end
* if it is a majority element.
* <p/>
* Time Complexity: O(n)
* Auxiliary Space : O(1)
*/
public class MajorityElement {
/**
* Uses Moore’s Voting Algorithm to
* get a candidate for majority element.
*
* @param a
* @return
*/
public static int findCandidate(int a[]) {
int candidate = a[0], count = 1;
for (int i = 1; i < a.length; i++) {
if (candidate == a[i]) {
count++;
} else {
count--;
}
if (count == 0) {
candidate = a[i];
count = 1;
}
}
return candidate;
}
public static void majorityElement(int a[]) {
int candidate = findCandidate(a),
count = 0;
// check if the candidate is really a majority element
for (int i = 0; i < a.length; i++) {
if (candidate == a[i]) {
count++;
}
}
if (count > a.length / 2) {
System.out.print(candidate);
} else {
System.out.print("NONE");
}
}
public static void main(String a[]) {
majorityElement(new int[]{1, 6, 2, 2, 2, 1, 2, 2, 7, 2});
}
}