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281 lines (260 loc) · 9.44 KB
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/**
* <p>整数数组 <code>nums</code> 按升序排列,数组中的值 <strong>互不相同</strong> 。</p>
*
* <p>在传递给函数之前,<code>nums</code> 在预先未知的某个下标 <code>k</code>(<code>0 <= k < nums.length</code>)上进行了 <strong>旋转</strong>,使数组变为 <code>[nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]]</code>(下标 <strong>从 0 开始</strong> 计数)。例如, <code>[0,1,2,4,5,6,7]</code> 在下标 <code>3</code> 处经旋转后可能变为 <code>[4,5,6,7,0,1,2]</code> 。</p>
*
* <p>给你 <strong>旋转后</strong> 的数组 <code>nums</code> 和一个整数 <code>target</code> ,如果 <code>nums</code> 中存在这个目标值 <code>target</code> ,则返回它的下标,否则返回 <code>-1</code> 。</p>
*
* <p> </p>
*
* <p><strong>示例 1:</strong></p>
*
* <pre>
* <strong>输入:</strong>nums = [<code>4,5,6,7,0,1,2]</code>, target = 0
* <strong>输出:</strong>4
* </pre>
*
* <p><strong>示例 2:</strong></p>
*
* <pre>
* <strong>输入:</strong>nums = [<code>4,5,6,7,0,1,2]</code>, target = 3
* <strong>输出:</strong>-1</pre>
*
* <p><strong>示例 3:</strong></p>
*
* <pre>
* <strong>输入:</strong>nums = [1], target = 0
* <strong>输出:</strong>-1
* </pre>
*
* <p> </p>
*
* <p><strong>提示:</strong></p>
*
* <ul>
* <li><code>1 <= nums.length <= 5000</code></li>
* <li><code>-10^4 <= nums[i] <= 10^4</code></li>
* <li><code>nums</code> 中的每个值都 <strong>独一无二</strong></li>
* <li>题目数据保证 <code>nums</code> 在预先未知的某个下标上进行了旋转</li>
* <li><code>-10^4 <= target <= 10^4</code></li>
* </ul>
*
* <p> </p>
*
* <p><strong>进阶:</strong>你可以设计一个时间复杂度为 <code>O(log n)</code> 的解决方案吗?</p>
* <div><div>Related Topics</div><div><li>数组</li><li>二分查找</li></div></div><br><div><li>👍 1725</li><li>👎 0</li></div>
*/
package leetcode4;
/**
* 还有这种解法,看起来是这道题专供的解法,不管它:https://leetcode-cn.com/problems/search-in-rotated-sorted-array/solution/jian-ji-rong-yi-li-jie-java-er-fen-fa-by-breezean/
*/
public class SearchInRotatedSortedArray {
public static void main(String[] args) {
}
/**
* 直接二分查找,mid拆分的数组有序时查找目标值,有序数组查找失败则继续收缩左右边界
*/
class Solution1_1 {
public int search(int[] nums, int target) {
int left = 0;
int right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[left] <= target && target <= nums[mid]) {
return solve(nums, left, mid, target);
}
if (nums[mid] < target && target <= nums[right]) {
return solve(nums, mid, right, target);
}
if (nums[mid] < nums[right]) {
right = mid;
} else {
left = mid + 1;
}
}
return nums[left] == target ? left : -1;
}
private int solve(int[] nums, int left, int right, int target) {
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] < target) {
left = mid + 1;
} else {
right = mid;
}
}
return nums[left] == target ? left : -1;
}
private int solve2(int[] nums, int left, int right, int target) {
while (left < right) {
int mid = (right - left + 1) / 2 + left;
if (nums[mid] > target) {
right = mid - 1;
} else {
left = mid;
}
}
return nums[left] == target ? left : -1;
}
}
class Solution1_2 {
public int search(int[] nums, int target) {
return solve(nums, target, 0, nums.length - 1);
}
private int solve(int[] nums, int target, int left, int right) {
if (left == right) {
return nums[left] == target ? left : -1;
}
int mid = (right - left) / 2 + left;
if (nums[left] <= target && target <= nums[mid]) {
return find(nums, target, left, mid);
} else if (nums[mid + 1] <= target && target <= nums[right]) {
return find(nums, target, mid + 1, right);
}
if (nums[left] <= nums[mid]) {
left = mid + 1;
} else {
right = mid;
}
return solve(nums, target, left, right);
}
private int find(int[] nums, int target, int left, int right) {
while (left < right) {
int mid = (right - left + 1) / 2 + left;
if (nums[mid] > target) {
right = mid - 1;
} else {
left = mid;
}
}
return nums[left] == target ? left : -1;
}
}
/**
* 先求最小值,拆为两个有序数组再求值
* 参考 153. 寻找旋转排序数组中的最小值: {@link FindMinimumInRotatedSortedArray}
*/
class Solution2_1 {
public int search(int[] nums, int target) {
int min = findMin(nums);
if (target >= nums[min] && target <= nums[nums.length - 1]) {
return find(nums, min, nums.length - 1, target);
}
return find(nums, 0, min - 1, target);
}
private int find(int[] nums, int left, int right, int target) {
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] < target) {
left = mid + 1;
} else {
right = mid;
}
}
return nums[left] == target ? left : -1;
}
private int findMin(int[] nums) {
int left = 0;
int right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] > nums[right]) {
left = mid + 1;
} else {
right = mid;
}
}
return left;
}
}
class Solution2_2 {
public int search(int[] nums, int target) {
int max = findMax(nums);
if (target >= nums[0] && target <= nums[max]) {
return find(nums, target, 0, max);
}
if (max >= nums.length - 1) {
return -1;
}
return find(nums, target, max + 1, nums.length - 1);
}
private int find(int[] nums, int target, int left, int right) {
while (left < right) {
int mid = (right - left + 1) / 2 + left;
if (nums[mid] > target) {
right = mid - 1;
} else {
left = mid;
}
}
return nums[left] == target ? left : -1;
}
private int findMax(int[] nums) {
int left = 0;
int right = nums.length - 1;
while (left < right) {
int mid = (right - left + 1) / 2 + left;
if (nums[left] > nums[mid]) {
right = mid - 1;
} else {
left = mid;
}
}
return left;
}
}
//--- 到这里就可以了 ---
class Solution3 {
public int search(int[] nums, int target) {
int left = 0;
int right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] < nums[right]) {
right = mid;
} else {
left = mid + 1;
}
}
if (nums[left] <= target && target <= nums[nums.length - 1]) {
return solve(nums, left, nums.length - 1, target);
} else if (left > 0 && nums[0] <= target && target <= nums[left - 1]) {
return solve(nums, 0, left - 1, target);
} else {
return -1;
}
}
/**
* mid靠右,right需额外左移
*/
private int solve(int[] nums, int left, int right, int target) {
while (left < right) {
int mid = (right - left + 1) / 2 + left;
if (nums[mid] == target) {
return mid;
} else if (nums[mid] > target) {
right = mid - 1;
} else {
left = mid;
}
}
return nums[left] == target ? left : -1;
}
/**
* mid靠左,left需额外右移
*/
private int solve2(int[] nums, int left, int right, int target) {
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] == target) {
return mid;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
right = mid;
}
}
return nums[left] == target ? left : -1;
}
}
}