Practice Minimum Difficulty of a Job Schedule
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Minimum Difficulty of a Job Schedule
You want to schedule a list of jobs in d days. Jobs are dependent (i.e To work on the ith job, you have to finish all the jobs j where 0 <= j < i). You have to finish at least one task every day. The difficulty of a job schedule is the sum of difficulties of each day of the d days. The difficulty of a day is the maximum difficulty of a job done on that day. You are given an integer array jobDifficulty and an integer d. The difficulty of the ith job is jobDifficulty[i]. Return the minimum difficulty of a job schedule. If you cannot find a schedule for the jobs return -1.
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Understanding the Minimum Difficulty of a Job Schedule Problem
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Problem Statement
You want to schedule a list of jobs in d days. Jobs are dependent (i.e To work on the ith job, you have to finish all the jobs j where 0 <= j < i). You have to finish at least one task every day. The difficulty of a job schedule is the sum of difficulties of each day of the d days. The difficulty of a day is the maximum difficulty of a job done on that day. You are given an integer array jobDifficulty and an integer d. The difficulty of the ith job is jobDifficulty[i]. Return the minimum difficulty of a job schedule. If you cannot find a schedule for the jobs return -1.
Source: Minimum Difficulty of a Job Schedule on LeetCode. Use the original task for its coding environment and submissions.
Minimum Difficulty of a Job Schedule
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Examples
# Example 1
jobDifficulty = [6,5,4,3,2,1], d = 2
7
# Example 2
jobDifficulty = [9,9,9], d = 4
-1
# Example 3
jobDifficulty = [1,1,1], d = 3
3
Constraints
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