Problem Statement
You are given two arrays:
-
nums1is a subset ofnums2. - For every element in
nums1, find the first greater element to its right innums2.
If no greater element exists, return -1.
Brute Force Intuition
In an interview, you can explain it like this:
For every element in
nums1, first locate its position innums2. Then traverse towards the right until a greater element is found.
Although simple, this repeatedly scans the same elements.
Complexity
- Time Complexity: O(N × M)
- Space Complexity: O(1)
Brute Force Code
class Solution {
public int[] nextGreaterElement(int[] nums1, int[] nums2) {
int[] ans = new int[nums1.length];
for (int i = 0; i < nums1.length; i++) {
int index = -1;
// Find element in nums2
for (int j = 0; j < nums2.length; j++) {
if (nums2[j] == nums1[i]) {
index = j;
break;
}
}
ans[i] = -1;
// Search towards right
for (int j = index + 1; j < nums2.length; j++) {
if (nums2[j] > nums1[i]) {
ans[i] = nums2[j];
break;
}
}
}
return ans;
}
}
Moving Towards the Optimal Approach
Notice that while scanning every element, we repeatedly search the right side.
Instead, can we compute the next greater element for every element in nums2 only once?
Yes!
We'll use a Monotonic Decreasing Stack.
Pattern Recognition
Whenever you see:
- Next Greater Element
- Previous Greater Element
- Next Smaller Element
- Previous Smaller Element
Think:
Monotonic Stack
Key Observation
Traverse nums2 from right to left.
Maintain a stack such that:
Top of stack
=
First Greater Element
Before pushing the current element:
Remove all smaller elements because they'll never become the next greater for future elements.
Optimal Approach
For every element:
Remove all smaller elements.
If stack becomes empty:
Next Greater = -1
Else:
Next Greater = Stack Top
Store this mapping in a HashMap.
Finally, answer each query in nums1 using the map.
Optimal Java Solution
class Solution {
public int[] nextGreaterElement(int[] nums1, int[] nums2) {
HashMap<Integer, Integer> map = new HashMap<>();
Stack<Integer> st = new Stack<>();
for (int i = nums2.length - 1; i >= 0; i--) {
while (!st.isEmpty() && st.peek() < nums2[i]) {
st.pop();
}
if (st.isEmpty()) {
map.put(nums2[i], -1);
} else {
map.put(nums2[i], st.peek());
}
st.push(nums2[i]);
}
int[] ans = new int[nums1.length];
for (int i = 0; i < nums1.length; i++) {
ans[i] = map.get(nums1[i]);
}
return ans;
}
}
Dry Run
Input
nums1 = [2,4]
nums2 = [1,2,3,4]
Traverse from right:
Step 1
Current = 4
Stack = []
Next Greater = -1
Push 4
Stack:
4
Step 2
Current = 3
Stack Top = 4
Next Greater = 4
Push 3
Stack:
3
4
Step 3
Current = 2
Stack Top = 3
Next Greater = 3
Push 2
Stack:
2
3
4
Step 4
Current = 1
Stack Top = 2
Next Greater = 2
HashMap becomes:
1 → 2
2 → 3
3 → 4
4 → -1
Answer:
2 → 3
4 → -1
Result:
[3, -1]
Why Monotonic Stack Works?
Every element enters the stack once.
Every element leaves the stack once.
The stack always maintains elements in decreasing order.
Hence:
Top of stack
=
Nearest Greater Element
without repeatedly scanning the array.
Complexity Analysis
| Metric | Complexity |
|---|---|
| Time Complexity | O(N + M) |
| Space Complexity | O(N) |
Where:
N = nums2.lengthM = nums1.length
Interview One-Liner
Traverse from right to left using a monotonic decreasing stack to precompute the next greater element for every value, then answer queries in O(1) using a HashMap.
Pattern Learned
Next Greater Element
+
Nearest Greater
+
Right Side Query
=> Monotonic Decreasing Stack
Similar Problems
- Next Greater Element I
- Next Greater Element II
- Daily Temperatures
- Stock Span Problem
- Next Smaller Element
- Previous Greater Element
Memory Trick
Think:
Current Element
↓
Remove Smaller Elements
↓
Stack Empty ?
↓
Yes → -1
No → Stack Top
Mental Model
Need Nearest Greater on Right
↓
Traverse Right to Left
↓
Maintain Decreasing Stack
↓
Top = Answer
Whenever you hear:
"Find the next greater element"
your brain should immediately think:
Monotonic Stack
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