Search in Rotated Sorted Array

Question

Problem Statement

Suppose a sorted array is rotated at some pivot unknown to you beforehand.

(i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0 1 2).

You are given a target value to search. If found in the array return its
index, otherwise return -1.

You may assume no duplicate exists in the array.

Example

For [4, 5, 1, 2, 3] and target=1, return 2.

For [4, 5, 1, 2, 3] and target=0, return -1.

Challenge

O(logN) time

题解 - 找到有序数组

对于旋转数组的分析可使用画图的方法,如下图所示,升序数组经旋转后可能为如下两种形式。

Rotated Array

对于有序数组,使用二分搜索比较方便。分析题中的数组特点,旋转后初看是乱序数组,但仔细一看其实里面是存在两段有序数组的。刚开始做这道题时可能会去比较targetA[mid], 但分析起来异常复杂。该题较为巧妙的地方在于如何找出旋转数组中的局部有序数组,并使用二分搜索解之。结合实际数组在纸上分析较为方便。

C++

  1. /**
  2. * 本代码fork自
  3. * http://www.jiuzhang.com/solutions/search-in-rotated-sorted-array/
  4. */
  5. class Solution {
  6. /**
  7. * param A : an integer ratated sorted array
  8. * param target : an integer to be searched
  9. * return : an integer
  10. */
  11. public:
  12. int search(vector<int> &A, int target) {
  13. if (A.empty()) {
  14. return -1;
  15. }
  16. vector<int>::size_type start = 0;
  17. vector<int>::size_type end = A.size() - 1;
  18. vector<int>::size_type mid;
  19. while (start + 1 < end) {
  20. mid = start + (end - start) / 2;
  21. if (target == A[mid]) {
  22. return mid;
  23. }
  24. if (A[start] < A[mid]) {
  25. // situation 1, numbers between start and mid are sorted
  26. if (A[start] <= target && target < A[mid]) {
  27. end = mid;
  28. } else {
  29. start = mid;
  30. }
  31. } else {
  32. // situation 2, numbers between mid and end are sorted
  33. if (A[mid] < target && target <= A[end]) {
  34. start = mid;
  35. } else {
  36. end = mid;
  37. }
  38. }
  39. }
  40. if (A[start] == target) {
  41. return start;
  42. }
  43. if (A[end] == target) {
  44. return end;
  45. }
  46. return -1;
  47. }
  48. };

Java

  1. public class Solution {
  2. /**
  3. *@param A : an integer rotated sorted array
  4. *@param target : an integer to be searched
  5. *return : an integer
  6. */
  7. public int search(int[] A, int target) {
  8. if (A == null || A.length == 0) return -1;
  9. int lb = 0, ub = A.length - 1;
  10. while (lb + 1 < ub) {
  11. int mid = lb + (ub - lb) / 2;
  12. if (A[mid] == target) return mid;
  13. if (A[mid] > A[lb]) {
  14. // case1: numbers between lb and mid are sorted
  15. if (A[lb] <= target && target <= A[mid]) {
  16. ub = mid;
  17. } else {
  18. lb = mid;
  19. }
  20. } else {
  21. // case2: numbers between mid and ub are sorted
  22. if (A[mid] <= target && target <= A[ub]) {
  23. lb = mid;
  24. } else {
  25. ub = mid;
  26. }
  27. }
  28. }
  29. if (A[lb] == target) {
  30. return lb;
  31. } else if (A[ub] == target) {
  32. return ub;
  33. }
  34. return -1;
  35. }
  36. }

源码分析

  1. target == A[mid],索引找到,直接返回
  2. 寻找局部有序数组,分析A[mid]和两段有序的数组特点,由于旋转后前面有序数组最小值都比后面有序数组最大值大。故若A[start] < A[mid]成立,则start与mid间的元素必有序(要么是前一段有序数组,要么是后一段有序数组,还有可能是未旋转数组)。
  3. 接着在有序数组A[start]~A[mid]间进行二分搜索,但能在A[start]~A[mid]间搜索的前提是A[start] <= target <= A[mid]
  4. 接着在有序数组A[mid]~A[end]间进行二分搜索,注意前提条件。
  5. 搜索完毕时索引若不是mid或者未满足while循环条件,则测试A[start]或者A[end]是否满足条件。
  6. 最后若未找到满足条件的索引,则返回-1.

复杂度分析

分两段二分,时间复杂度仍近似为 O(\log n).