How do you solve Find the Peaks on LeetCode?

Find the Peaks (LeetCode #2951) can be solved using Brute Force. The optimal approach is Brute Force with undefined time complexity and undefined space complexity. Key insight: The brute force approach checks each element in the array (except the first and last) to see if it's greater than its neighbors. This is straightforward but inefficient.

What is the time complexity of Find the Peaks?

The optimal solution for Find the Peaks runs in undefined time and uses undefined space. undefined

What algorithm or data structure is used to solve Find the Peaks?

Find the Peaks uses the following concepts: Array, Enumeration. The recommended patterns to study are: .

#2951

Find the Peaks

Easy

ArrayEnumeration

LeetCode ↗

Approaches

💡

Intuition

Time Space

The brute force approach checks each element in the array (except the first and last) to see if it's greater than its neighbors. This is straightforward but inefficient.

⚙️

Algorithm

4 steps

1Step 1: Initialize an empty list to store peak indices.
2Step 2: Loop through the array from the second element to the second-to-last element.
3Step 3: For each element, check if it is greater than both its neighbors. If it is, add its index to the list of peaks.
4Step 4: Return the list of peak indices.

solution.py7 lines

1# Full working Python code
2mountain = [1, 4, 3, 8, 5]
3peaks = []
4for i in range(1, len(mountain) - 1):
5    if mountain[i] > mountain[i - 1] and mountain[i] > mountain[i + 1]:
6        peaks.append(i)
7print(peaks)

Solutions and explanations are original Tejav content. Problem titles © LeetCode — use the LeetCode button above for the full problem statement.