LeetCode 2606: Find the Substring With Maximum Cost Solution
Master LeetCode problem 2606 (Find the Substring With Maximum Cost), 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.
2606. Find the Substring With Maximum Cost
Problem Explanation
Explanation
To solve this problem, we can iterate through all possible substrings of the input string s. For each substring, we calculate the cost by summing the values of the characters in the substring based on the given rules. We keep track of the maximum cost encountered so far and return it as the result.
Algorithm:
- Initialize a variable
maxCostto store the maximum cost encountered so far. - Iterate through all possible substrings of
s. - For each substring, calculate the cost by summing the values of the characters in the substring according to the rules.
- Update
maxCostif the current cost is greater. - Return
maxCostas the result.
Time Complexity: O(n^2) where n is the length of the input string s.
Space Complexity: O(1)
Solution Code
class Solution {
public int getMaxCost(String s, String chars, int[] vals) {
int maxCost = 0;
for (int i = 0; i < s.length(); i++) {
for (int j = i; j < s.length(); j++) {
int cost = 0;
for (int k = i; k <= j; k++) {
char c = s.charAt(k);
int val = chars.indexOf(c) == -1 ? c - 'a' + 1 : vals[chars.indexOf(c)];
cost += val;
}
maxCost = Math.max(maxCost, cost);
}
}
return maxCost;
}
}Try It Yourself
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