Something wrong with my solution as describing below.
I got a wrong answer: Input: [1,2,4,4,3] Output: 10 Expected: 9
my output is 1+2+3+3+1 = 10. and I think OJ's is 1+2+3+2+1 = 9
how can the third child has more candies than the fourth?
But the requirement is "Children with a higher rating get more candies than their neighbors",
I don't want to deal with my code anymore, because I think this question is not well defined.
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I found a nice code in the discussion:ref: https://oj.leetcode.com/discuss/76/does-anyone-have-a-better-idea
Here is another wonderful solution from old discuss by hawk. Thanks to hawk!
The solution is O(N) time complexity and constant memory complexity. What's more, the solution only need to go thru the ratings array once!
Reading the code with full comment to help understand the algorithm.
int candy(vector<int> &ratings) {
// Note: The Solution object is instantiated only once and is reused by each test case.
int nCandyCnt = 0;///Total candies
int nSeqLen = 0; /// Continuous ratings descending sequence length
int nPreCanCnt = 1; /// Previous child's candy count
int nMaxCntInSeq = nPreCanCnt;
if(ratings.begin() != ratings.end())
{
nCandyCnt++;//Counting the first child's candy.
for(vector<int>::iterator i = ratings.begin()+1; i!= ratings.end(); i++)
{
// if r[k]>r[k+1]>r[k+2]...>r[k+n],r[k+n]<=r[k+n+1],
// r[i] needs n-(i-k)+(Pre's) candies(k<i<k+n)
// But if possible, we can allocate one candy to the child,
// and with the sequence extends, add the child's candy by one
// until the child's candy reaches that of the prev's.
// Then increase the pre's candy as well.
// if r[k] < r[k+1], r[k+1] needs one more candy than r[k]
//
if(*i < *(i-1))
{
//Now we are in a sequence
nSeqLen++;
if(nMaxCntInSeq == nSeqLen)
{
//The first child in the sequence has the same candy as the prev
//The prev should be included in the sequence.
nSeqLen++;
}
nCandyCnt+= nSeqLen;
nPreCanCnt = 1;
}
else
{
if(*i > *(i-1))
{
nPreCanCnt++;
}
else
{
nPreCanCnt = 1;
}
nCandyCnt += nPreCanCnt;
nSeqLen = 0;
nMaxCntInSeq = nPreCanCnt;
}
}
}
return nCandyCnt;
}
本文讨论了一个关于儿童糖果分配的问题,其中提出了一种时间复杂度为O(N)的解决方案,仅需遍历一次评级数组即可计算出所需糖果总数。通过详细解释算法过程,包括如何处理连续递减评级序列和确保糖果分配符合特定规则,本文提供了一个清晰且高效的解决思路。
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