3 回答
TA贡献1909条经验 获得超7个赞
浏览列表,同时跟踪max,以及max2,你会得到O(N)与O(N * log(N))时间复杂度:
// Maximum value
int max = Math.Max(input[input.Count - 1], input[input.Count - 2]);
// Second greatest
int max2 = Math.Min(input[input.Count - 1], input[input.Count - 2]);
// i >= 0: Comparing with 0 is slightly faster then with Count
for (int i = input.Count - 3; i >= 0; --i) {
int v = input[i];
if (v >= max) {
max2 = max;
max = v;
}
else if (v > max2)
max2 = v;
}
编辑:如果重复项应被忽略(请参见下面的评论),则答案[1, 2, 3, 4, 4, 4, 4]应为3,而不是4:
// Maximum value
int max = int.MinValue;
// Second greatest
int max2 = int.MinValue;
// i >= 0: Comparing with 0 is slightly faster then with Count
for (int i = input.Count - 1; i >= 0; --i) {
int v = input[i];
if (v > max) {
max2 = max;
max = v;
}
else if (v > max2 && v != max)
max2 = v;
}
TA贡献1864条经验 获得超6个赞
您可以通过跟踪下一个最大值并在列表中进行一次迭代来做到这一点。
int max = Int32.MinValue;
int nextMax = Int32.MinValue;
for(int i=0; i<list.Count(); i++)
{
if(list[i] > max)
{
nextMax = max;
max = list[i];
}
else if(list[i] > nextMax)
{
nextMax = list[i];
}
}
TA贡献1946条经验 获得超4个赞
这是一个仅使用LINQ和C#7元组迭代一次的解决方案:
var input = Enumerable.Range(0, 101);
var topTwo = input.Aggregate((Biggest: Int32.MinValue, SecondBiggest: Int32.MinValue),
(acc, next) =>
{
if (next > acc.Biggest)
{
acc.SecondBiggest = acc.Biggest;
acc.Biggest = next;
}
if (next < acc.Biggest && next > acc.SecondBiggest)
acc.SecondBiggest = next;
return acc;
});
WriteLine(topTwo.SecondBiggest); // 99
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