题目
这道题目很有意思,有意思的是使用O(n)的时间效率和O(1)的空间效率解决。我会写一篇专业的博客来介绍一下
以下就是O(n)的时间效率和O(1)的空间效率。
class Solution {
public:
int n;
int findKth(vector& nums, int s, int e, int k)
{
int i = s + 1;
int j = e;
int l = s;
while (i <= j)
{
while (i <= j && nums[i] < nums[l])
{
i++;
}
while (i <= j && nums[j] > nums[l])
{
j--;
}
if (i <= j)
{
swap(nums[i], nums[j]);
i++;
j--;
}
}
swap(nums[l], nums[j]);
if (j - l + 1 == k)
return nums[j];
else if (j - l + 1 < k)
{
return findKth(nums, j + 1, e, k - (j - l + 1));
}
else
return findKth(nums, s, j - 1, k);
}
double findMid(vector& nums)
{
if (nums.size() & 1)
{
return findKth(nums, 0, nums.size() - 1, nums.size() / 2 + 1);
}
else
{
int x = findKth(nums, 0, nums.size() - 1, nums.size() / 2);
int y = findKth(nums, 0, nums.size() - 1, nums.size() / 2 + 1);
return 1.0 * (x + y) / 2;
}
}
int getNext(int index)
{
index -= 2;
if (index < 0)
{
return n + index + (~n & 1) * (~index & 1);
}
return index;
}
int getPre(int index)
{
index += 2;
if (index >= n)
return abs((n | 1) - index);
return index;
}
int compare(int a, int b)
{
if ((a ^ b) & 1)
{
return a & 1;
}
else
{
return a <= b;
}
}
void wiggleSort(vector& nums) {
if (nums.size() <= 1)
return;
double mid = findMid(nums);
int i, j, k;
n = nums.size();
i = j = (n & 1 ? n - 1 : n - 2);
k = 1;
while (compare(k, j))
{
if (nums[j] < mid)
{
swap(nums[i], nums[j]);
i = getNext(i);
j = getNext(j);
}
else if (nums[j] == mid)
{
j = getNext(j);
}
else
{
swap(nums[j], nums[k]);
k = getPre(k);
}
}
}
};