How to Solve Random Pick with Weight Problem
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Random Pick with Weight
You are given a 0-indexed array of positive integers w where w[i] describes the weight of the ith index. You need to implement the function pickIndex(), which randomly picks an index in the range [0, ...
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Understanding the Random Pick with Weight Problem
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Problem Statement
You are given a 0-indexed array of positive integers w where w[i] describes the weight of the ith index. You need to implement the function pickIndex(), which randomly picks an index in the range [0, w.length - 1] (inclusive) and returns it. The probability of picking an index i is w[i] / sum(w). For example, if w = [1, 3], the probability of picking index 0 is 1 / (1 + 3) = 0.25 (i.e., 25%), and the probability of picking index 1 is 3 / (1 + 3) = 0.75 (i.e., 75%).
Random Pick with Weight
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Example inputExample outputConstraints
1 <= w.length <= 1041 <= w[i] <= 105pickIndex will be called at most 104 times.How Interview Coder Helps with Leetcode Problems
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