Maximum Nesting Depth of the Parentheses - Stack - Easy - LeetCode
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Maximum Nesting Depth of the Parentheses - Stack - Easy - LeetCode

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  • 1A valid parentheses string (VPS) can be defined recursively with specific rules for concatenation and nesting.
  • 2The nesting depth of a VPS is calculated using a stack to track open parentheses and determine the maximum depth.
  • 3Examples illustrate varying nesting depths, with constraints ensuring the input string is always a VPS.

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"A valid parentheses string (VPS) can be defined recursively with specific rules for concatenation and nesting."

Maximum Nesting Depth of the Parentheses - Stack - Easy - LeetCode

A string is a valid parentheses string (denoted VPS) if it meets one of the following:

It is an empty string "", or a single character not equal to "(" or ")", It can be written as AB (A concatenated with B), where A and B are VPS's, or It can be written as (A), where A is a VPS. We can similarly define the nesting depth depth(S) of any VPS S as follows:

depth("") = 0 depth(A + B) = max(depth(A), depth(B)), where A and B are VPS's depth("(" + A + ")") = 1 + depth(A), where A is a VPS. For example, "", "()()", and "()(()())" are VPS's (with nesting depths 0, 1, and 2), and ")(" and "(()" are not VPS's.

Given a VPS represented as string s, return the nesting depth of s.

Example 1:

Input: s = "(1+(2*3)+((8)/4))+1" Output: 3 Explanation: Digit 8 is inside of 3 nested parentheses in the string. Example 2:

Input: s = "(1)+((2))+(((3)))" Output: 3 Example 3:

Input: s = "1+(2*3)/(2-1)" Output: 1 Example 4:

Input: s = "1" Output: 0

Constraints:

1 <= s.length <= 100 s consists of digits 0-9 and characters '+', '-', '*', '/', '(', and ')'. It is guaranteed that parentheses expression s is a VPS.

public class Solution {
 public int MaxDepth(string s) {
 var stack = new Stack<char>();
 int max = 0;
 for(int i=0; i< s.Length;i++){
 if(s[i]=='('){
 stack.Push('(');
 if(max<stack.Count()){
 max = stack.Count();
 }
 }
 else if(s[i]==')'){
 if(stack.Count()==0){
 return 0;
 }
 stack.Pop();
 }
 }
 
 return max;
 }
}

Time Complexity: O(n)

Space Complexity: O(n)

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sumitc91

Published on 18 October 2020 · 1 min read · 261 words

Part of AskGif Blog · coding

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