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DSA Course: Interview Patterns and Problem Solving
Module 11: Recursion & Backtracking
Best Time to Buy and Sell Stock: Greedy Pattern
Maximum Subarray: Kadane Pattern
Move Zeroes: Two pointers Pattern
Contains Duplicate: Set Pattern
Valid Anagram: Frequency map Pattern
Longest Substring Without Repeating Characters: Sliding window Pattern
Valid Palindrome: Two pointers Pattern
Longest Palindromic Substring: Expand around center Pattern
Group Anagrams: Hash key Pattern
Binary Search: Classic search Pattern
Search Insert Position: Lower bound Pattern
First Bad Version: Predicate search Pattern
Search in Rotated Sorted Array: Rotated search Pattern
Find Minimum in Rotated Sorted Array: Rotated minimum Pattern
Valid Parentheses: Stack matching Pattern
Min Stack: Auxiliary stack Pattern
Daily Temperatures: Monotonic stack Pattern
Next Greater Element I: Monotonic stack Pattern
Evaluate Reverse Polish Notation: Stack evaluation Pattern
Reverse Linked List: Pointer reversal Pattern
Merge Two Sorted Lists: Dummy node Pattern
Linked List Cycle: Fast and slow pointers Pattern
Middle of the Linked List: Fast and slow pointers Pattern
Remove Nth Node From End: Two pointers Pattern
Binary Tree Traversals: DFS recursion Pattern
Maximum Depth of Binary Tree: Height recursion Pattern
Binary Tree Level Order Traversal: BFS queue Pattern
Validate Binary Search Tree: Range bounds Pattern
Lowest Common Ancestor: Recursive split Pattern
Connected Components: Adjacency DFS Pattern
Number of Islands: Grid DFS Pattern
Flood Fill: Boundary DFS Pattern
Clone Graph: Hash Map DFS Pattern
Course Schedule: Topological Sort Pattern
Union Find Components: Disjoint Set Pattern
Shortest Path in Unweighted Graph: BFS Distance Pattern
Climbing Stairs: Fibonacci DP Pattern
House Robber: Pick or Skip DP Pattern
Coin Change: Minimum Coins DP Pattern
Longest Increasing Subsequence: Binary Search DP Pattern
Longest Common Subsequence: 2D DP Pattern
0/1 Knapsack: Capacity DP Pattern
Longest Consecutive Sequence: Hash Set Pattern
Subarray Sum Equals K: Prefix Sum Hashmap Pattern
First Unique Character: Frequency Map Pattern
Find Duplicates: Frequency Map Pattern
Ransom Note: Character Availability Pattern
Sort Colors: Dutch National Flag Pattern
Next Permutation: Pivot and Suffix Reversal Pattern
Merge Intervals: Sort and Sweep Pattern
Find First and Last Position: Boundary Binary Search Pattern
Search a 2D Matrix: Flattened Binary Search Pattern
Subsets: Pick or Skip Recursion Pattern
Generate Parentheses: Valid State Backtracking Pattern
Combination Sum: Reuse Choice Backtracking Pattern
N-Queens: Constraint Backtracking Pattern
Word Search: Grid Backtracking Pattern
Kth Largest Element: Size-K Min-Heap Pattern
Top K Frequent Elements: Frequency Heap Pattern
Merge K Sorted Lists: Min-Heap Multiway Merge Pattern
Median Finder: Two Heaps Pattern
Task Scheduler: Greedy Max-Heap Pattern
Jump Game: Farthest Reach Greedy Pattern
Gas Station: Greedy Reset Pattern
Non-overlapping Intervals: Earliest End Greedy Pattern
Minimum Arrows to Burst Balloons: Interval End Greedy Pattern
Partition Labels: Last Occurrence Greedy Pattern
Single Number: XOR Cancellation Pattern
Power of Two: n and n-1 Pattern
Number of 1 Bits: Brian Kernighan Pattern
Single Number III: Rightmost Set Bit Pattern
XOR From 1 to N: Modulo Cycle Pattern
Prime Check: Square Root Trial Division Pattern
Sieve of Eratosthenes: Prime Marking Pattern
GCD: Euclidean Remainder Pattern
Binary Exponentiation: Fast Power Pattern
Modular Inverse: Extended Euclid Pattern
Implement Trie: Prefix Tree Pattern
Longest Common Prefix: Single Branch Trie Pattern
LRU Cache: Hash Map Plus Recency List Pattern
Segment Tree: Range Sum Query Pattern
Fenwick Tree: Binary Indexed Prefix Sum Pattern
CONTENTS

Generate Parentheses: Valid State Backtracking Pattern

Build only valid parenthesis strings using open and close counts.

DSA Course: Interview Patterns and Problem Solving
Module 11: Recursion & Backtracking
dsa
recursion-backtracking
+1
May 29, 2026
22
A

Learning Outcome

After this lesson, you should be able to prune invalid prefixes before they are generated.

Problem Statement

Given n pairs of parentheses, generate all combinations of well-formed parentheses.

InputOutputWhy
n = 3["((()))","(()())","(())()","()(())","()()()"]Only strings where every prefix has close count <= open count are valid.

Brute Force Approach

Generate every string of length 2n made of ( and ), then filter invalid strings. This creates many impossible states.

Optimized Approach

Backtrack only through valid states: add ( while open < n, and add ) only while close < open.

Exact Pseudocode

answer = []
dfs(path, open, close):
  if length(path) == 2 * n:
    answer.add(path)
    return
  if open < n:
    dfs(path + "(", open + 1, close)
  if close < open:
    dfs(path + ")", open, close + 1)
return answer

Reference Code

class Solution:
    def generateParenthesis(self, n):
        answer = []

        def dfs(path, open_count, close_count):
            if len(path) == 2 * n:
                answer.append(path)
                return

            if open_count < n:
                dfs(path + "(", open_count + 1, close_count)
            if close_count < open_count:
                dfs(path + ")", open_count, close_count + 1)

        dfs("", 0, 0)
        return answer

Sample Dry Run

StepStateResult
Startpath="", open=0, close=0Only "(" is allowed
path="("open=1, close=0Can add "(" or ")"
Invalid prefix blockedclose can never exceed openNo path starts with ")"
Length 6Valid path copiedAnswer receives one string

Complexity

MeasureValueReason
TimeO(Cn)The number of valid strings is the nth Catalan number.
SpaceO(n)The recursion path length is at most 2n.

Edge Cases

  • n = 1 returns ["()"].
  • Never allow close count to exceed open count.
  • Stop when path length reaches 2n.

Interview Checklist

  • Track open and close counts separately.
  • Prune invalid prefixes early.
  • Add a complete path only at length 2n.

FAQs

Why is close < open required?

A closing parenthesis is valid only if there is an unmatched opening parenthesis.

Why not generate all strings first?

Most generated strings would be invalid, so pruning saves work and is clearer.

What is the core pattern?

Valid-state backtracking.

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Generate Parentheses - Valid State Backtracking Pattern Practice Quiz
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Lesson 2 of 5 in Module 11: Recursion & Backtracking
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Subsets: Pick or Skip Recursion Pattern
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Combination Sum: Reuse Choice Backtracking Pattern
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