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Title Description

题目🔗

Initial answer

The ideas are all in the comments, but they won’t exceed the time limit.

class Solution {
public:
    int canCompleteCircuit(vector<int>& gas, vector<int>& cost) {
        /* 首先出发站startIndex获得的汽油要大于前往下一站要消耗的汽油
        *  也就是：gas[startIndex] >= cost[startIndex]
        *  将计算公式写出来就是：例如从startIndex = 3出发
        *  ((((0 + gas[3] - cost[3]) + gas[4] - cost[4]) + gas[0] - cost[0]) + gas[1] - cost [1]) + gas[2] - cost[2] = 0可以返回
        *  但是还有条件：每一次括号中的计算结果也要大于0
        */ 
        vector<int> v1(gas.size(), 0);
        for(int i = 0; i < gas.size(); i++){
            v1[i] = gas[i] - cost[i];
        }
        /* 上面的计算公式就变成了((((0 + v1[3]) + v1[4]) + v1[0]) + v1[1]) + v1[2] = 0
        *  那么下面我们根据条件“每一次括号中的计算结果也要大于0”来进行判断
        */
        
        // 首先判断整体和如果小于0，那么肯定不能环绕一圈
        if(accumulate(v1.begin(), v1.end(), 0) < 0) return -1;
        int result = -1;
        for(int i = 0; i < gas.size(); i++){
            // 找到第一个汽油大于0的加油站
            if(v1[i] < 0) continue;
            int num = gas.size();
            int k = i;
            int sum = v1[k];
            while(num--){
                if(k == gas.size() - 1){
                    sum += v1[0];
                    k = 0;
                }
                else sum += v1[++k];
                if(sum < 0) break;
            }
            if(sum >= 0) result = i;
        }
        return result;
    }
};
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Greedy version analysis

I haven't done greedy algorithm problems for a long time, and I don't remember how to do it at all orz...

First of all, the limitation of this question is that the net remaining oil volume at each station must be greater than or equal to 0, that is,rest[i] = gas[i] - cost[i] >= 0。

Then i starts accumulating from index 0rest[i], and its sum iscurSum,oncecurSumLess than 0, it means from 0 toiIn this interval, no matter which station is selected as the starting station,iThe oil will be cut off, so we can choosei+1Recalculate as a starting point.

The above analysis can be summarized as follows:
Local optimum:curSumOnce it is less than 0, the starting position must be at least i+1 to meet the condition.
Global optimum: You can find a starting position that can run a lap.

class Solution {
public:
    int canCompleteCircuit(vector<int>& gas, vector<int>& cost) {
        int curSum = 0;
        int totalSum = 0;
        int start = 0;
        for(int i = 0; i < gas.size(); i++){
            curSum += gas[i] - cost[i];
            totalSum += gas[i] - cost[i];
            if(curSum < 0){
                start = i + 1;
                curSum = 0;
            }
        }
        if(totalSum < 0) return -1;
        return start;
    }
};
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