1335. Minimum Difficulty of a Job Schedule

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    Problem

    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.

      Example 1:

    Input: jobDifficulty = [6,5,4,3,2,1], d = 2
    Output: 7
    Explanation: First day you can finish the first 5 jobs, total difficulty = 6.
    Second day you can finish the last job, total difficulty = 1.
    The difficulty of the schedule = 6 + 1 = 7 
    

    Example 2:

    Input: jobDifficulty = [9,9,9], d = 4
    Output: -1
    Explanation: If you finish a job per day you will still have a free day. you cannot find a schedule for the given jobs.
    

    Example 3:

    Input: jobDifficulty = [1,1,1], d = 3
    Output: 3
    Explanation: The schedule is one job per day. total difficulty will be 3.
    

      Constraints:

    Solution

    class Solution {
        public int minDifficulty(int[] jobDifficulty, int d) {
            int totalJobs = jobDifficulty.length;
            if (totalJobs < d) {
                return -1;
            }
            int maxJobsOneDay = totalJobs - d + 1;
            int[] map = new int[totalJobs];
            int maxDiff = Integer.MIN_VALUE;
            for (int k = totalJobs - 1; k > totalJobs - 1 - maxJobsOneDay; k--) {
                maxDiff = Math.max(maxDiff, jobDifficulty[k]);
                map[k] = maxDiff;
            }
            for (int day = d - 1; day > 0; day--) {
                int maxEndIndex = (totalJobs - 1) - (d - day);
                int maxStartIndex = maxEndIndex - maxJobsOneDay + 1;
                for (int startIndex = maxStartIndex; startIndex <= maxEndIndex; startIndex++) {
                    map[startIndex] = Integer.MAX_VALUE;
                    int maxDiffOfTheDay = Integer.MIN_VALUE;
                    for (int endIndex = startIndex; endIndex <= maxEndIndex; endIndex++) {
                        maxDiffOfTheDay = Math.max(maxDiffOfTheDay, jobDifficulty[endIndex]);
                        int totalDiff = maxDiffOfTheDay + map[endIndex + 1];
                        map[startIndex] = Math.min(map[startIndex], totalDiff);
                    }
                }
            }
            return map[0];
        }
    }
    

    Explain:

    nope.

    Complexity: