题目
You are given an array tasks
where tasks[i] = [actuali, minimumi]
:
actuali
is the actual amount of energy you spend to finish the ith
task.
minimumi
is the minimum amount of energy you require to begin the ith
task.
For example, if the task is [10, 12]
and your current energy is 11
, you cannot start this task. However, if your current energy is 13
, you can complete this task, and your energy will be 3
after finishing it.
You can finish the tasks in any order you like.
Return the minimum initial amount of energy you will need to finish all the tasks.
Example 1:
Input: tasks = [[1,2],[2,4],[4,8]]
Output: 8
Explanation:
Starting with 8 energy, we finish the tasks in the following order:
- 3rd task. Now energy = 8 - 4 = 4.
- 2nd task. Now energy = 4 - 2 = 2.
- 1st task. Now energy = 2 - 1 = 1.
Notice that even though we have leftover energy, starting with 7 energy does not work because we cannot do the 3rd task.
Example 2:
Input: tasks = [[1,3],[2,4],[10,11],[10,12],[8,9]]
Output: 32
Explanation:
Starting with 32 energy, we finish the tasks in the following order:
- 1st task. Now energy = 32 - 1 = 31.
- 2nd task. Now energy = 31 - 2 = 29.
- 3rd task. Now energy = 29 - 10 = 19.
- 4th task. Now energy = 19 - 10 = 9.
- 5th task. Now energy = 9 - 8 = 1.
Example 3:
Input: tasks = [[1,7],[2,8],[3,9],[4,10],[5,11],[6,12]]
Output: 27
Explanation:
Starting with 27 energy, we finish the tasks in the following order:
- 5th task. Now energy = 27 - 5 = 22.
- 2nd task. Now energy = 22 - 2 = 20.
- 3rd task. Now energy = 20 - 3 = 17.
- 1st task. Now energy = 17 - 1 = 16.
- 4th task. Now energy = 16 - 4 = 12.
- 6th task. Now energy = 12 - 6 = 6.
Constraints:
1 <= tasks.length <= 105
1 <= actuali <= minimumi <= 104
题目大意
给你一个任务数组 tasks ,其中 tasks[i] = [actuali, minimumi] :
- actual i 是完成第 i 个任务 需要耗费 的实际能量。
- minimum i 是开始第 i 个任务前需要达到的最低能量。
比方说,如果任务为 [10, 12] 且你当前的能量为 11 ,那么你不能开始这个任务。如果你当前的能量为 13 ,你可以完成这个任务,且完成它后剩余能量为 3 。你可以按照 任意顺序 完成任务。请你返回完成所有任务的 最少 初始能量。
解题思路
- 给出一个 task 数组,每个元素代表一个任务,每个任务有实际消费能量值和开始这个任务需要的最低能量。要求输出能完成所有任务的最少初始能量。
- 这一题直觉是贪心。先将任务按照
minimum - actual
进行排序。先完成差值大的任务,那么接下来的能量能最大限度的满足接下来的任务。这样可能完成所有任务的可能性越大。循环任务数组的时候,保存当前能量在 cur
中,如果当前能量不够开启下一个任务,那么这个差值就是需要弥补的,这些能量就是最少初始能量中的,所以加上这些差值能量。如果当前能量可以开启下一个任务,那么就更新当前能量,减去实际消耗的能量以后,再继续循环。循环结束就能得到最少初始能量了。
代码
package leetcode
import (
"sort"
)
func minimumEffort(tasks [][]int) int {
sort.Sort(Task(tasks))
res, cur := 0, 0
for _, t := range tasks {
if t[1] > cur {
res += t[1] - cur
cur = t[1] - t[0]
} else {
cur -= t[0]
}
}
return res
}
func max(a, b int) int {
if a > b {
return a
}
return b
}
// Task define
type Task [][]int
func (task Task) Len() int {
return len(task)
}
func (task Task) Less(i, j int) bool {
t1, t2 := task[i][1]-task[i][0], task[j][1]-task[j][0]
if t1 != t2 {
return t2 < t1
}
return task[j][1] < task[i][1]
}
func (task Task) Swap(i, j int) {
t := task[i]
task[i] = task[j]
task[j] = t
}