The “Candy” problem on LeetCode

This is a classic algorithmic problem that can be solved using various approaches, such as greedy algorithms or dynamic programming. Here’s a brief overview of the problem and a common solution strategy

Problem Statement:

Given an array of integers representing the ratings of children in a line, you need to distribute candy to these children such that each child receives at least one candy and children with a higher rating get more candies than their neighbors. You need to minimize the total number of candies distributed.

Input: [1, 0, 2]
Output: 5
Explanation: The minimum number of candies given to the children are [2, 1, 2], which sums up to 5.

Approach:

A common strategy to solve this problem is to use two passes over the ratings array. In the first pass, you start by initializing an array with all elements set to 1 (since each child should get at least one candy). Then, you iterate over the ratings array from left to right and adjust the number of candies allocated based on the ratings relative to their neighbors.

Similarly, in the second pass, you iterate from right to left and adjust the number of candies allocated again. This ensures that you satisfy both conditions: each child gets at least one candy, and children with higher ratings get more candies than their neighbors.

Complexity Analysis:

  • Time complexity: O(n) where n is the number of elements in the ratings array.
  • Space complexity: O(n) since we are using an additional array of size n to store the number of candies allocated to each child.

You can implement this approach in your preferred programming language and submit it to LeetCode to solve the problem.

Java implementation of the solution approach for the “Candy” problem on LeetCode:

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