*Boyer–Moore majority vote algorithm* — I love this algorithm because it's amazing *and* approachable. I first saw it on a LeetCode discuss thread, and it blew everyone away. Some people were, like, irate.

This problem, common on competitive coding sites, has a solution that was discovered in 1980 but went unpublished until 1991 because of its emphasis on Fortran and mechanical verification.

**Problem:** Given a list of votes with a majority (*n*/2 + 1), declare the leader. As in, the most frequently occurring vote. It is possible to get the result in linear time *O(n)* AND constant space *O(1)*.

Examples:

`[0, 1, 1, 0, 1, 0, 1, 1] => 1 is the majority element`

`['a', 'b', 'a', 'c', 'b', 'c', 'a', 'a'] => 'a' is the majority here`

A naive solution might look like this. We'll use a Dictionary to keep track of all the votes as well as storing the highest number of votes we've seen.

def majority_vote(votes):leader = Nonemax_votes = 0candidates = dict()for i in votes:# if seen beforeif i in candidates:# count their votecandidates[i] += 1# and check if they're leadingif candidates[i] > max_votes:leader = imax_votes = candidates[i]else:candidates[i] = 1return leader

The above accomplishes a correct solution in linear time *O(n)* using linear space *O(n)*. We can do better. One pass, **without** counting every element.

*MJRTY* or *A Fast Majority Vote Algorithm* was discovered in the Computer Science Laboratory of SRI International in 1980 by Robert S. Boyer and J Strother Moore. They were assisting a colleague who was working on fault tolerance.

In their humorous paper, they imagined a convention center filled with voters, carrying placards boasting the name of their chosen candidate. Each voter representing an index of the list.

Suppose a floor fight ensues

They opined that the voters might knock each other out simultaneously, going only for the opposing team. After the mess, the voter/s left standing would represent the majority.

Here is a bloodless way the chairman can simulate the pairing phase.

Their algorithm improves on our naive solution by removing the data structure (the Dictionary). Converted here from Fortran to Python.

def majority_vote_improved(votes):# after one vote, we have a leaderleader = votes[0]count = 1for i in range(1, len(votes)):# the lead may growif votes[i] == leader:count += 1else:# or shrinkcount -= 1# and they may be replacedif count == 0:leader = votes[i]count = 1return leader

Thus, the majority is found in linear time *O(n)* with constant space *O(1)*.

Check out a step-by-step walkthrough on Moore's website. More on Wikipedia too.

The entire effort of specifying MJRTY and getting the 61 verification conditions proved required about 20 man hours. [...] about 55 minutes of computer time to prove the final list of 66 theorems.

MJRTY - A Fast Majority Vote Algorithm, with R.S. Boyer. In R.S. Boyer (ed.), Automated Reasoning: Essays in Honor of Woody Bledsoe, Automated Reasoning Series, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1991, pp. 105-117.