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概述

加油站

  • Description
  • Example
  • 题意
  • 解题思路
    • code

134. Gas Station Medium

Description

There are N gas stations along a circular route, where the amount of gas at station i is gas[i].

You have a car with an unlimited gas tank and it costs cost[i] of gas to travel from station i to its next station (i+1). You begin the journey with an empty tank at one of the gas stations.

Return the starting gas station’s index if you can travel around the circuit once in the clockwise direction, otherwise return -1.

Note

  • If there exists a solution, it is guaranteed to be unique.
  • Both input arrays are non-empty and have the same length.
  • Each element in the input arrays is a non-negative integer.

Example

  • Example 1:
Input:
gas
= [1,2,3,4,5]
cost = [3,4,5,1,2]
Output: 3
Explanation:
Start at station 3 (index 3) and fill up with 4 unit of gas. Your tank = 0 + 4 = 4
Travel to station 4. Your tank = 4 - 1 + 5 = 8
Travel to station 0. Your tank = 8 - 2 + 1 = 7
Travel to station 1. Your tank = 7 - 3 + 2 = 6
Travel to station 2. Your tank = 6 - 4 + 3 = 5
Travel to station 3. The cost is 5. Your gas is just enough to travel back to station 3.
Therefore, return 3 as the starting index.
  • Example 2:
Input:
gas
= [2,3,4]
cost = [3,4,3]
Output: -1
Explanation:
You can't start at station 0 or 1, as there is not enough gas to travel to the next station.
Let's start at station 2 and fill up with 4 unit of gas. Your tank = 0 + 4 = 4
Travel to station 0. Your tank = 4 - 3 + 2 = 3
Travel to station 1. Your tank = 3 - 3 + 3 = 3
You cannot travel back to station 2, as it requires 4 unit of gas but you only have 3.
Therefore, you can't travel around the circuit once no matter where you start.

题意

求能环形所有加油站的起始站点

解题思路

假设从站点 i 出发,到达站点 k 之前,依然能保证油箱里油没见底儿,从k 出发后,见底儿了。那么就说明 diff[i] + diff[i+1] + … + diff[k] < 0,而除掉diff[k]以外,从diff[i]开始的累加都是 >= 0的。也就是说diff[i] 也是 >= 0的,这个时候我们还有必要从站点 i + 1尝试吗?仔细一想就知道:车要是从站点 i+1出发,到达站点k后,甚至还没到站点k,油箱就见底儿了,因为少加了站点 i 的油。。。
  因此,当我们发现到达k 站点邮箱见底儿后,i 到 k 这些站点都不用作为出发点来试验了,肯定不满足条件,只需要从k+1站点尝试即可!因此解法时间复杂度从O(n2)降到了 O(2n)。之所以是O(2n),是因为将k+1站作为始发站,车得绕圈开回k,来验证k+1是否满足。
  等等,真的需要这样吗?
  我们模拟一下过程:
  a. 最开始,站点0是始发站,假设车开出站点p后,油箱空了,假设sum1 = diff[0] +diff[1] + … + diff[p],可知sum1 < 0;
  b. 根据上面的论述,我们将p+1作为始发站,开出q站后,油箱又空了, 设sum2 = diff[p+1] +diff[p+2] + … + diff[q],可知sum2 < 0。
  c. 将q+1作为始发站,假设一直开到了未循环的最末站,油箱没见底儿,设sum3 = diff[q+1] +diff[q+2] + … + diff[size-1],可知sum3 >= 0。
  要想知道车能否开回 q 站,其实就是在sum3 的基础上,依次加上 diff[0] 到 diff[q],看看sum3在这个过程中是否会小于0。但是我们之前已经知道 diff[0] 到 diff[p-1] 这段路,油箱能一直保持非负,因此我们只要算算sum3 + sum1是否 <0,就知道能不能开到 p+1站了。
  如果能从p+1站开出,只要算算sum3 + sum1 + sum2 是否 < 0,就知都能不能开回q站了。
  因为 sum1, sum2 都 < 0,因此如果 sum3 + sum1 + sum2 >=0 那么sum3 + sum1 必然 >= 0,也就是说,只要sum3 + sum1 + sum2 >=0,车必然能开回q站。而sum3 + sum1 + sum2 其实就是 diff数组的总和 Total,遍历完所有元素已经算出来了。
  因此 Total 能否 >= 0,就是是否存在这样的站点的充分必要条件。
  这样时间复杂度进一步从O(2n)降到了 O(n)。
  综上,只需要遍历一遍所有的站点。

code

class Solution(object):
def canCompleteCircuit(self, gas, cost):
"""
:type gas: List[int]
:type cost: List[int]
:rtype: int
"""
if len(gas) == 0 or len(cost) == 0 or len(gas) != len(cost):
return -1
sum = cur_sum = 0
start = 0
for i in range(len(gas)):
sum += gas[i] - cost[i]
cur_sum += gas[i] - cost[i]
if cur_sum < 0:
cur_sum = 0
start = i+1
if sum < 0:
return -1
else:
return start

最后

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