Find Minimum Time to Finish All Jobs — LeetCode 1723 Python Solution
HardBit ManipulationArrayDynamic ProgrammingBacktrackingBitmask
- Problem
- #1723
- Pattern
- Backtracking
- Reading time
- 4 min
- Source
- leetcode.com
The problem
You are given an integer array jobs, where jobs[i] is the amount of time it takes to complete the ith job. There are k workers that you can assign jobs to.
Example
- Input
- jobs = [3,2,3], k = 3
- Output
- 3
- Explanation
- By assigning each person one job, the maximum time is 3.
Python solution
Python
class Solution:
def minimumTimeRequired(self, jobs: List[int], k: int) -> int:
def dfs(i):
nonlocal ans
if i == len(jobs):
ans = min(ans, max(cnt))
return
for j in range(k):
if cnt[j] + jobs[i] >= ans:
continue
cnt[j] += jobs[i]
dfs(i + 1)
cnt[j] -= jobs[i]
if cnt[j] == 0:
break
cnt = [0] * k
jobs.sort(reverse=True)
ans = inf
dfs(0)
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n·m) (typical) |
| Space | O(n·m) or optimized auxiliary |
Pattern: Backtracking
Build candidates one choice at a time and abandon a branch the moment it cannot work. LeetCode 1723. Find Minimum Time to Finish All Jobs is filed here because LeetCode tags it Backtracking, which is the vocabulary this hub collects.
The backtracking guide has the Python template for the pattern and the 105 LeetCode problems that use it.
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Frequently asked questions
- How hard is LeetCode 1723. Find Minimum Time to Finish All Jobs?
- LeetCode 1723. Find Minimum Time to Finish All Jobs is rated Hard on LeetCode.
- What topics does LeetCode 1723. Find Minimum Time to Finish All Jobs cover?
- LeetCode 1723. Find Minimum Time to Finish All Jobs is tagged Bit Manipulation, Array, Dynamic Programming, Backtracking and Bitmask on LeetCode.