quick sort的主要思路是partition, 就是选一个element作为pivot,比如总是选最右边的element,然后将array走一遍,使得最左边的subarray都是小于或者等于pivot的值,接着都是大于pivot的值,最后将第一个大于pivot的element和pivot互换。然后返回这个pivot的index,接着再recursively 去sort pivot左边的array和pivot右边的array。
Quick Sort使用了Divide and Concur的思想: 找一个基准数, 把小于基准数的数都放到基准数之前, 把大于基准数的数都放到基准数之后 Worst case: O(n^2) Average case: O(nlogN) 步骤: 初始的数组 Array a[]: 基准数: X = a[0] = 51 i 的值: i = 0 j 的值: j = 9 (a.length) Step 1: ...
QuickSort BinaryTree`s deep LeetCode~ListNode 快排 func QuickSort<T: Comparable>(dest:[T])->[T]{ guard dest.count > 1 else { return dest } let middle = dest[dest.count/2] let bigger = dest.filter { (t:T) -> Bool in return t > middle } let equal = dest.filter { (t:T) ...
public void sortIntegers2(int[] A) { if (A.length <= 1) return; int[] B = new int[A.length]; sort(A, 0, A.length-1, B); } public void sort(int[] A, int start, int end, int[] B) { if (start >= end) return; int mid = start + (end - start) / 2; sort(A, ...
kumar91gopi/Algorithms-and-Data-Structures-in-Ruby Star728 Code Issues Pull requests Discussions Ruby implementation of Algorithms,Data-structures and programming challenges algorithmstackleetcodequicksorthackerrankbubble-sortinsertion-sortleetcode-solutionsbinary-searchcodilitymerge-sortpythagorean-tripleskadanes-...
+ [排序](all/sort.go) 32 changes: 32 additions & 0 deletions 32 all/sort.go Original file line numberDiff line numberDiff line change @@ -0,0 +1,32 @@ package all import ( "math/rand" ) func QuickSort(a []int) { quickSort(a, 0, len(a)-1) } func quickSort(a []int...
215. Kth Largest Element in an Array quicksort就是选出某一个数在数组里面应该待的位置。上一篇已经提到了。所以这里就可以用quick sort来找第n-k的位置上的数。n为数组长度。 my solution: class Solution { public int findKthLargest(int[] nums, int k) { ...
quicksort(head, nullptr);returnhead; } }; 两个指针,fast 指向大元素链表尾部,slow 指向小元素链表尾部,slow->next 是大元素链表头部。 遇到需要放在小元素链表的元素,我们就 slow = slow -> next,占用大元素链表头部的空间放置小元素。而原来的大元素链表头部的元素用值交换的放置放到链表末尾。
3. Use quickSort, 其实跟[LeetCode] 973. K Closest Points to Origin_Medium tag: Sort, heap, quickSort做法一样。 T: average O(n), worst case O(n ^ 2) classSolution:deftopKFrequent(self, nums: List[int], k: int) ->List[int]: ...
Problem 1: Merge Intervals Problem 2: Insert Interval5. Cyclic SortProblem 1: Find All Numbers Disappeared in an Array Problem 2: Find the Duplicate Number6. In-place Reversal of Linked ListProblem 1: Reverse Linked List Problem 2: Reverse Nodes in k-Group...