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DSA Course: Interview Patterns and Problem Solving
Module 4: Stack & Queue
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

Next Greater Element I: Monotonic stack Pattern

Precompute the next greater value for each number using a decreasing stack.

DSA Course: Interview Patterns and Problem Solving
Module 4: Stack & Queue
dsa
data structures and algorithms
+4
May 28, 2026
29
A

Learning Outcome

After this lesson, you should be able to precompute next greater relationships and answer subset queries quickly.

Problem Statement

Given two arrays nums1 and nums2, where nums1 is a subset of nums2, return the next greater element in nums2 for every value in nums1. If no greater value exists, return -1.

InputOutputWhy
nums1 = [4,1,2], nums2 = [1,3,4,2][-1,3,-1]1's next greater is 3; 4 and 2 have none.

Brute Force Approach

For each value in nums1, find it in nums2, then scan right until a greater value appears.

This repeats scans and can cost O(n * m).

Optimized Approach

Scan nums2 once with a decreasing stack. When the current value is greater than the stack top, it becomes the next greater value for that popped number. Store this relationship in a map.

Exact Pseudocode

nextGreater = empty map
stack = empty stack of values
for value in nums2:
  while stack is not empty and value > stack.top:
    smaller = pop stack
    nextGreater[smaller] = value
  push value
for each remaining value in stack:
  nextGreater[value] = -1
answer = []
for value in nums1:
  answer.add(nextGreater[value])
return answer

Reference Code

class Solution:
    def nextGreaterElement(self, nums1, nums2):
        next_greater = {}
        stack = []

        for value in nums2:
            while stack and value > stack[-1]:
                next_greater[stack.pop()] = value
            stack.append(value)

        while stack:
            next_greater[stack.pop()] = -1

        return [next_greater[value] for value in nums1]

Sample Dry Run

valuestack beforeActionmap
1[]Push 1{}
3[1]3 is greater than 1, map 1 to 3{1:3}
4[3]4 is greater than 3, map 3 to 4{1:3,3:4}
2[4]2 is not greater than 4, pushUnresolved 4 and 2 become -1

Complexity

MeasureValueReason
TimeO(n + m)Each value in nums2 is pushed/popped once, then nums1 is answered.
SpaceO(n)The map and stack store values from nums2.

Edge Cases

  • No greater value exists for some numbers.
  • nums1 has one value.
  • Values are distinct in the classic problem.

Interview Checklist

  • Precompute using nums2, then answer nums1.
  • Use a decreasing stack.
  • Assign -1 to unresolved values.

FAQs

Why scan nums2 first?

Next greater relationships are defined by positions in nums2, so preprocessing it avoids repeated scans.

Why does the stack decrease?

Smaller unresolved values wait until a larger value appears to their right.

What is the core pattern?

Monotonic stack plus lookup map.

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Next Greater Element I - Monotonic stack Pattern Practice Quiz
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Daily Temperatures: Monotonic stack Pattern
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