LeetCode 3050: Pizza Toppings Cost Analysis Solution

Master LeetCode problem 3050 (Pizza Toppings Cost Analysis), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

3050. Pizza Toppings Cost Analysis

Medium

Database

Problem Explanation

Explanation:

To solve this problem, we can iterate through every possible combination of toppings and calculate the cost of each combination. We will maintain a list to store the cost of each combination sorted in descending order. Finally, we will return the top k costs from the list.

Algorithm:

Iterate through all possible combinations of toppings using recursion.
Keep track of the cost of each combination.
Store the cost of each combination in a list.
Sort the list of costs in descending order.
Return the top k costs from the list.

Time Complexity:

The time complexity of this algorithm is O(2^N) where N is the number of toppings.

Space Complexity:

The space complexity of this algorithm is O(N) where N is the number of toppings.

Solution Code

import java.util.*;

class Solution {
    public List<Integer> pizzaToppingsCost(int[] toppingsCost, int k) {
        List<Integer> result = new ArrayList<>();
        backtrack(toppingsCost, 0, k, 0, result);
        Collections.sort(result, Collections.reverseOrder());
        return result.subList(0, k);
    }

    private void backtrack(int[] toppingsCost, int index, int k, int currentCost, List<Integer> result) {
        if (index == toppingsCost.length) {
            result.add(currentCost);
            return;
        }

        for (int i = 0; i <= k; i++) {
            backtrack(toppingsCost, index + 1, k, currentCost + i * toppingsCost[index], result);
        }
    }
}

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