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Easy

Next Greater Element I

An easy Stack problem included in Love Babbar 450, Striver A2Z. Below: the roles whose interviews prioritise this topic, and how to practise it.

Topic
Stack
Sheets
2
Core for
8 roles
Platform
LeetCode

The problem

Given two arrays nums1 and nums2 where nums1 is a subset of nums2, for each element in nums1 find the next greater element in nums2. The next greater element is the first element to the right that is larger. If none exists, return -1.

Example 1

Input
nums1 = [4,1,2], nums2 = [1,3,4,2]
Output
[-1,3,-1]
Why
In nums2, after 4 there is no greater element. After 1 the next greater is 3. After 2 there is nothing to the right.

Example 2

Input
nums1 = [2,4], nums2 = [1,2,3,4]
Output
[3,-1]
Why
After 2 in nums2, the next greater element is 3. After 4, there is nothing to the right.

Constraints

  • 1 <= nums1.length <= nums2.length <= 1000
  • 0 <= nums1[i], nums2[i] <= 10^4
  • All integers in nums1 and nums2 are unique
  • Each element of nums1 also appears in nums2

How to think about it

Updated 2026-09-09

The subset condition is a decoy: nums1 only specifies which questions to answer, while all structural information lives in nums2. If you solve next greater element for every item in nums2 all at once and cache the results in a hash map, answering queries for nums1 becomes a sequence of instant hash table lookups.

Approaches, worst first

  1. Brute force search per query

    time O(nums1.length * nums2.length) · space O(1)

    For each element in nums1, locate its position in nums2 with a linear scan, then continue scanning right until finding a strictly larger value. Loses because repeated scans over nums2 re-evaluate the same rightward sequences for each query.

  2. Monotonic stack with hash map cacheWrite this one

    time O(nums1.length + nums2.length) · space O(nums2.length)

    Traverse nums2 while maintaining a monotonic decreasing stack of values. When the current value exceeds the top of the stack, pop each smaller value and record `map[popped] = current`. After nums2 is processed, any value remaining on the stack maps to -1. Map nums1 via the table.

Where people lose marks · 2
  • Looking for the next greater element in nums1 itself instead of nums2: the search array is nums2, while nums1 merely dictates output ordering.
  • Assuming nums2 elements left on the stack at the end have a greater element: unpopped keys must resolve to -1.

The theory behind it

Stack — the ground this problem stands on. All Stack problems

What Stack is

A stack is a vertical pile of cafeteria trays where items enter and depart from one single opening at the top. The most recent item set down is the first one retrieved, while items deposited earlier remain buried underneath until newer arrivals are lifted away. This strict last-in, first-out sequence guarantees that older context stays preserved until all newer nested actions run to completion.

When to reach for it

Reach for a stack whenever an algorithm encounters nested structures like matched brackets, tags, or algebraic formulas. Problems demanding undo operations, function execution histories, or evaluating postfix arithmetic require this discipline. It is also the primary structure for monotonic queries where a task asks for the nearest greater or smaller value adjacent to each position in a series.

How the pattern works

Picture peeling layers back in exact reverse order of their arrival. Push items as pending jobs or unclosed delimiters encounter the scan. When closing boundaries appear, pop the topmost entry and check for compatibility. For monotonic patterns, maintain an invariant where elements on the stack remain strictly increasing or decreasing; pop any items that violate this rule before recording candidate answers and pushing the current item.

What each operation costs

OperationTime
push item onto the topO(1)
pop item from the topO(1)
inspect the topmost elementO(1)
What usually goes wrong with Stack
  • Popping from or peeking into an empty stack without first verifying that the size is positive, causing runtime null pointer or empty collection errors.
  • Forgetting to verify that the stack is completely empty at the end of bracket matching, which mistakenly accepts strings with dangling unclosed opening symbols.
  • Storing values instead of indices in monotonic stacks, making it impossible to calculate distance intervals between matching elements afterwards.

Which roles need this problem

Stack is a core topic for these 8 roles — if you're targeting one of them, this problem is early in your path, not optional.

Secondary for 9 more roles, including Frontend Engineer, Data Engineer, Game Developer.

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