Min Cost Climbing Stairs — LeetCode 746 Python Solution
- Problem
- #746
- Pattern
- Dynamic Programming
- Reading time
- 2 min
- Source
- leetcode.com
The problem
You are given an integer array cost where cost[i] is the cost of ith step on a staircase. Once you pay the cost, you can either climb one or two steps.
Example
- Input
- cost = [10,15,20]
- Output
- 15
- Explanation
- You will start at index 1.
Python solution
class Solution:
def minCostClimbingStairs(self, cost: List[int]) -> int:
@cache
def dfs(i: int) -> int:
if i >= len(cost):
return 0
return cost[i] + min(dfs(i + 1), dfs(i + 2))
return min(dfs(0), dfs(1))Complexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n), where n is the length of the array \textit{cost} auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 746. Min Cost Climbing Stairs is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
On study lists
This problem is on NeetCode 150 and LeetCode 75.
Frequently asked questions
- How hard is LeetCode 746. Min Cost Climbing Stairs?
- LeetCode 746. Min Cost Climbing Stairs is rated Easy on LeetCode.
- What is the time complexity of LeetCode 746. Min Cost Climbing Stairs?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 746. Min Cost Climbing Stairs?
- The Python solution on this page uses O(n), where n is the length of the array \textit{cost} auxiliary space.
- What topics does LeetCode 746. Min Cost Climbing Stairs cover?
- LeetCode 746. Min Cost Climbing Stairs is tagged Array and Dynamic Programming on LeetCode.