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[LintCode/LeetCode] Gas Station

hedge_hog / 1063人阅读

摘要:看到这个题目,怎样可以不把它当成一个环路来分析,以及减少多余的空间呢例如,我们引入单次剩余油量,剩余油量和,总剩余油量和,以及可行起点四个参数。大体上说,只要,一定有解。所以跳过这个耗油量很大的油站,然后将下一个油站作为起点继续判断即可。

Problem

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, otherwise return -1.

Example

Given 4 gas stations with gas[i]=[1,1,3,1], and the cost[i]=[2,2,1,1]. The starting gas station"s index is 2.

Challenge

O(n) time and O(1) extra space

Note

看到这个题目,怎样可以不把它当成一个环路来分析,以及减少多余的空间呢?
例如gas[i]=[1,1,3,1], cost[i]=[2,2,1,1],我们引入单次剩余油量res,剩余油量和sum,总剩余油量和total,以及可行起点start四个参数。大体上说,只要total > 0,一定有解。下面来找起点,当sum < 0的时候,一定是上一个加油站的单次剩余油量res为负,且与上一次的剩余油量和sum相加依然为负,说明在上一个加油站出现了消耗大于补给的情况,因此一定不能将它作为起点。所以跳过这个耗油量很大的油站,然后将下一个油站作为起点继续判断即可。

Solution
public class Solution {
    public int canCompleteCircuit(int[] gas, int[] cost) {
        int start = 0, sum = 0, total = 0;
        for (int i = 0; i < gas.length; i++) {
            int res = gas[i] - cost[i];
            //如果上一次的剩余油量之和sum’加上油站油量gas[i-1],
            //依然少于上次次的消耗油量cost[i-1]
            if (sum < 0) { 
                //更新出发地点为第i个加油站
                start = i;
                //更新剩余油量之和为到达第i个加油站补给后的剩余油量
                sum = res;
            }
            //否则,将之前的剩余油量之和sum加上本次消耗及补给后的剩余油量res
            else {
                sum += res;
            }
            //累计所有油站的可补给油量和总消耗油量之差(res)
            total += res;
        }
        return total >= 0 ? start : -1;
    }
}

Optimized:

public class Solution {
    public int canCompleteCircuit(int[] gas, int[] cost) {
        int start = 0, sum = 0, total = 0;
        for (int i = 0; i < gas.length; i++) {
            int res = gas[i] - cost[i];
            sum += res;
            total += res;
            if (sum < 0) {
                sum = 0;
                start = i + 1;
            }
        }
        return total >= 0 ? start : -1;
    }
}

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