LeetCode 45, Medium. Topics: Array, Dynamic Programming, Greedy. View on LeetCode.
Generate this problem as a practice environment: tested reference solution, 20 parametrized pytest cases, and a playground notebook:
Problem
You are given a 0-indexed array of integers nums of length n. You are initially positioned at index 0.
Each element nums[i] represents the maximum length of a forward jump from index i. In other words, if you are at index i, you can jump to any index (i + j) where:
0 <= j <= nums[i] and
i + j < n
Return the minimum number of jumps to reach index n - 1. The test cases are generated such that you can reach index n - 1.
Examples
Constraints
1 <= nums.length <= 10^4
0 <= nums[i] <= 1000
- It’s guaranteed that you can reach
nums[n - 1]
Solution
Reference implementation from solution.py on GitHub, full suite in test_solution.py:
Complexity
NeetCode 150, NeetCode 250, NeetCode All, AlgoMaster 75. Last modified on September 7, 2026