Number of Ways to Reach a Position After Exactly k Steps — LeetCode 2400 Python Solution
- Problem
- #2400
- Pattern
- Dynamic Programming
- Reading time
- 2 min
- Source
- leetcode.com
The problem
You are given two positive integers startPos and endPos. Initially, you are standing at position startPos on an infinite number line.
Example
- Input
- startPos = 1, endPos = 2, k = 3
- Output
- 3
- Explanation
- We can reach position 2 from 1 in exactly 3 steps in three ways:
Python solution
class Solution:
def numberOfWays(self, startPos: int, endPos: int, k: int) -> int:
@cache
def dfs(i: int, j: int) -> int:
if i > j or j < 0:
return 0
if j == 0:
return 1 if i == 0 else 0
return (dfs(i + 1, j - 1) + dfs(abs(i - 1), j - 1)) % mod
mod = 10**9 + 7
return dfs(abs(startPos - endPos), k)Complexity
| Measure | Complexity |
|---|---|
| Time | O(k^2) |
| Space | O(k^2) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps 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.
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Frequently asked questions
- How hard is LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps?
- LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps is rated Medium on LeetCode.
- What is the time complexity of LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps?
- The Python solution on this page runs in O(k^2).
- What is the space complexity of LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps?
- The Python solution on this page uses O(k^2) auxiliary space.
- What topics does LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps cover?
- LeetCode 2400. Number of Ways to Reach a Position After Exactly k Steps is tagged Math, Dynamic Programming and Combinatorics on LeetCode.