Givet et afbalanceret udtryk, find om det indeholder duplikatparenteser eller ej. Et sæt parenteser dubleres, hvis det samme underudtryk er omgivet af flere parenteser.
Eksempler:
Below expressions have duplicate parenthesis -
((a+b)+((c+d)))
The subexpression 'c+d' is surrounded by two
pairs of brackets.
(((a+(b)))+(c+d))
The subexpression 'a+(b)' is surrounded by two
pairs of brackets.
(((a+(b))+c+d))
The whole expression is surrounded by two
pairs of brackets.
((a+(b))+(c+d))
(b) and ((a+(b)) is surrounded by two
pairs of brackets but it will not be counted as duplicate.
Below expressions don't have any duplicate parenthesis -
((a+b)+(c+d))
No subexpression is surrounded by duplicate
brackets.
Det kan antages, at det givne udtryk er gyldigt, og at der ikke er hvide mellemrum til stede.
romertal 1100
Ideen er at bruge stack. Gentag gennem det givne udtryk og for hvert tegn i udtrykket, hvis tegnet er en åben parentes '(' eller en af operatorerne eller operanderne skubber den til toppen af stakken. Hvis tegnet er tæt i parentes ')', så pop tegn fra stakken, indtil den matchende åbne parentes '(' er fundet, og der bruges en tæller, hvis værdi tælles til åbningstallet, indtil åbningstallet er fundet. af karakterer stødt på mellem åbningen og afsluttende parentes-par, som er lig med værdien af tælleren, er mindre end 1, så findes et par duplikerede parenteser, ellers er der ingen forekomst af redundante parenteser. For eksempel (((a+b))+c) har duplikerede parenteser omkring 'a+b'. Når den anden ')' efter a+b stødes på, indeholder stakken '(('. Da toppen af stakken er en åbningsparentes, kan det konkluderes, at der er duplikater beslag.
Nedenfor er implementeringen af ovenstående idé:
C++
// C++ program to find duplicate parenthesis in a // balanced expression #include
import java.util.Stack; // Java program to find duplicate parenthesis in a // balanced expression public class GFG { // Function to find duplicate parenthesis in a // balanced expression static boolean findDuplicateparenthesis(String s) { // create a stack of characters Stack<Character> Stack = new Stack<>(); // Iterate through the given expression char[] str = s.toCharArray(); for (char ch : str) { // if current character is close parenthesis ')' if (ch == ')') { // pop character from the stack char top = Stack.peek(); Stack.pop(); // stores the number of characters between a // closing and opening parenthesis // if this count is less than or equal to 1 // then the brackets are redundant else not int elementsInside = 0; while (top != '(') { elementsInside++; top = Stack.peek(); Stack.pop(); } if (elementsInside < 1) { return true; } } // push open parenthesis '(' operators and // operands to stack else { Stack.push(ch); } } // No duplicates found return false; } // Driver code public static void main(String[] args) { // input balanced expression String str = '(((a+(b))+(c+d)))'; if (findDuplicateparenthesis(str)) { System.out.println('Duplicate Found '); } else { System.out.println('No Duplicates Found '); } } }
# Python3 program to find duplicate # parenthesis in a balanced expression # Function to find duplicate parenthesis # in a balanced expression def findDuplicateparenthesis(string): # create a stack of characters Stack = [] # Iterate through the given expression for ch in string: # if current character is # close parenthesis ')' if ch == ')': # pop character from the stack top = Stack.pop() # stores the number of characters between # a closing and opening parenthesis # if this count is less than or equal to 1 # then the brackets are redundant else not elementsInside = 0 while top != '(': elementsInside += 1 top = Stack.pop() if elementsInside < 1: return True # push open parenthesis '(' operators # and operands to stack else: Stack.append(ch) # No duplicates found return False # Driver Code if __name__ == '__main__': # input balanced expression string = '(((a+(b))+(c+d)))' if findDuplicateparenthesis(string) == True: print('Duplicate Found') else: print('No Duplicates Found') # This code is contributed by Rituraj Jain
// C# program to find duplicate parenthesis // in a balanced expression using System; using System.Collections.Generic; class GFG { // Function to find duplicate parenthesis // in a balanced expression static Boolean findDuplicateparenthesis(String s) { // create a stack of characters Stack<char> Stack = new Stack<char>(); // Iterate through the given expression char[] str = s.ToCharArray(); foreach (char ch in str) { // if current character is // close parenthesis ')' if (ch == ')') { // pop character from the stack char top = Stack.Peek(); Stack.Pop(); // stores the number of characters between // a closing and opening parenthesis // if this count is less than or equal to 1 // then the brackets are redundant else not int elementsInside = 0; while (top != '(') { elementsInside++; top = Stack.Peek(); Stack.Pop(); } if (elementsInside < 1) { return true; } } // push open parenthesis '(' // operators and operands to stack else { Stack.Push(ch); } } // No duplicates found return false; } // Driver code public static void Main(String[] args) { // input balanced expression String str = '(((a+(b))+(c+d)))'; if (findDuplicateparenthesis(str)) { Console.WriteLine('Duplicate Found '); } else { Console.WriteLine('No Duplicates Found '); } } } // This code is contributed by 29AjayKumar
// JavaScript program to find duplicate parentheses in a balanced expression function findDuplicateParenthesis(s) { let stack = []; // Iterate through the given expression for (let ch of s) { // If current character is a closing parenthesis ')' if (ch === ')') { let top = stack.pop(); // Count the number of elements // inside the parentheses let elementsInside = 0; while (top !== '(') { elementsInside++; top = stack.pop(); } // If there's nothing or only one element // inside it's redundant if (elementsInside < 1) { return true; } } // Push open parenthesis '(' operators and operands to stack else { stack.push(ch); } } // No duplicates found return false; } // Driver code let str = '(((a+(b))+(c+d)))'; if (findDuplicateParenthesis(str)) { console.log('Duplicate Found'); } else { console.log('No Duplicates Found'); } // This code is contributed by rag2127
Produktion
Duplicate Found
Produktion:
Duplicate FoundTidskompleksitet af ovenstående opløsning er O(n).
Hjælpeplads brugt af programmet er O(n).
tilføje til en matrix java