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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

Subsets: Pick or Skip Recursion Pattern

Generate every subset by deciding whether each value is included.

DSA Course: Interview Patterns and Problem Solving
Module 11: Recursion & Backtracking
dsa
recursion-backtracking
+1
May 29, 2026
24
A

Learning Outcome

After this lesson, you should be able to model recursion as a decision tree where every index has include and exclude choices.

Problem Statement

Given an array of distinct integers, return all possible subsets.

InputOutputWhy
nums = [1,2,3][[],[3],[2],[2,3],[1],[1,3],[1,2],[1,2,3]]Each number can be either excluded or included, so 3 numbers create 8 subsets.

Brute Force Approach

Use bit masks from 0 to 2^n

    1. This is valid, but it hides the transferable recursion pattern.

Optimized Approach

Backtrack with a path list. At each index, first skip the value, then include it, and copy the path at the base case.

Exact Pseudocode

answer = []
path = []
dfs(index):
  if index == n:
    answer.add(copy(path))
    return
  dfs(index + 1)
  path.add(nums[index])
  dfs(index + 1)
  path.removeLast()
dfs(0)
return answer

Reference Code

class Solution:
    def subsets(self, nums):
        answer = []
        path = []

        def dfs(index):
            if index == len(nums):
                answer.append(path[:])
                return

            dfs(index + 1)
            path.append(nums[index])
            dfs(index + 1)
            path.pop()

        dfs(0)
        return answer

Sample Dry Run

StepStateResult
index 0Skip 1 branchSubsets without 1 start building
index 1Skip/include 2Both branches are explored
index 2Skip/include 3Base case copies paths
Finish2^3 paths copied8 subsets returned

Complexity

MeasureValueReason
Time

O(n

  • 2^n)
There are 2^n subsets, and copying each subset can cost up to n.
SpaceO(n)The recursion path stores at most n values, excluding output storage.

Edge Cases

  • The empty subset must be included.
  • Copy the path at the base case.
  • Input values are distinct in the standard version.

Interview Checklist

  • Define the choice at each index.
  • Backtrack by removing the included value.
  • Do not add the same path object directly to the answer.

FAQs

Why copy the path?

The path list keeps changing during recursion, so the answer needs a snapshot.

Why are there 2^n subsets?

Each of n values has two choices: excluded or included.

What is the core pattern?

Pick-or-skip recursion.

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Subsets - Pick or Skip Recursion Pattern Practice Quiz
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Lesson 1 of 5 in Module 11: Recursion & Backtracking
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