Combination Sum — LeetCode 39 Python Solution
- Problem
- #39
- Pattern
- Backtracking
- Reading time
- 3 min
- Source
- leetcode.com
The problem
Given an array of distinct integers candidates and a target integer target, return a list of all unique combinations of candidates where the chosen numbers sum to target. You may return the combinations in any order.
Example
- Input
- candidates = [2,3,6,7], target = 7
- Output
- [[2,2,3],[7]]
- Explanation
- 2 and 3 are candidates, and 2 + 2 + 3 = 7. Note that 2 can be used multiple times.
Python solution
class Solution:
def combinationSum(self, candidates: List[int], target: int) -> List[List[int]]:
def dfs(i: int, s: int):
if s == 0:
ans.append(t[:])
return
if s < candidates[i]:
return
for j in range(i, len(candidates)):
t.append(candidates[j])
dfs(j, s - candidates[j])
t.pop()
candidates.sort()
t = []
ans = []
dfs(0, target)
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(2^n \times n) |
| Space | O(n) auxiliary |
Pattern: Backtracking
Build candidates one choice at a time and abandon a branch the moment it cannot work. LeetCode 39. Combination Sum is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Backtracking.
The backtracking guide has the Python template for the pattern and the 105 LeetCode problems that use it.
Related problems
On study lists
This problem is on NeetCode 150, Grind 75 and Top Interview 150.
Frequently asked questions
- How hard is LeetCode 39. Combination Sum?
- LeetCode 39. Combination Sum is rated Medium on LeetCode.
- What is the time complexity of LeetCode 39. Combination Sum?
- The Python solution on this page runs in O(2^n \times n).
- What is the space complexity of LeetCode 39. Combination Sum?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 39. Combination Sum cover?
- LeetCode 39. Combination Sum is tagged Array and Backtracking on LeetCode.