
Imagine you're at a social gathering with n individuals, each identified by a unique label ranging from 0 to n - 1. Among these attendees, there might be a celebrity. The celebrity is distinct in that every other individual at the event is familiar with them, yet the celebrity doesn't reciprocate this familiarity; they don't know anyone else there. Your task is to determine the identity of the celebrity using the minimum number of questions, which can be phrased as, "Hi, A. Do you know B?" for getting to know whether person A knows person B.
To implement this, you are provided an integer n and a helper function bool knows(a, b) which divulges if person a knows person b. Your objective is to develop the function int findCelebrity(n) that determines and returns the label of the celebrity, if present. If no celebrity exists at the party, the function should return -1.
It's key to remember that the n x n matrix (usually representing known relationships) is not available for direct usage. Access to this relational data between any two individuals is provided solely through the knows function. In this setup, if graph[i][j] == 1, person i knows person j, and if graph[i][j] == 0, it's the opposite.
Input:
Output:
Explanation:
Input:
Output:
Explanation:
n == graph.length == graph[i].length2 <= n <= 100graph[i][j] is 0 or 1.graph[i][i] == 1Naive Approach:
Optimized Approach (Two Pointer Technique):
Initial Elimination:
i and j) move towards each other. Every time you query knows(i, j), you can make a decision:i knows j, then i can't be the celebrity. Move i forward.i does not know j, then j can't be the celebrity. Move j backward.Verification Stage:
-1.This optimized method ensures minimization of queries to just around 2n, which is a significant improvement from n^2. In the context of a party with large numbers of attendees, this approach is much more feasible and time-efficient.
The Java program provided implements a CelebrityFinder class which extends the Relation class to determine if there is a "celebrity" among a group of people. The celebrity is a person known by everyone else but who knows no one else. The implementation uses caching to optimize the check for whether one person knows another.
Class Explanation:
CelebrityFinder class has a totalPeople attribute to store the number of people in the group.relationshipCache stores results of previous checks to determine if one person knows another, minimizing redundant operations.Method Details:
knows method overrides a method in the Relation class that checks if person1 knows person2. This method implements caching to avoid repetitive checks, thus improving performance.findCelebrity method iterates through all people using a two-pass algorithm:checkCelebrity method checks if the candidate does not know any other person except themselves and all the other people know the candidate.Return Values:
findCelebrity returns the index of the celebrity.The approach ensures efficient determination of the celebrity using cache for known relations and minimizing the number of checks needed by adopting an optimal strategy for celebrity identification. The caching mechanism particularly helps in larger groups where multiple calls might otherwise be made to the knows method for the same pair of individuals.
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