摘要:首先,建立二元结果数组,起点,终点。二分法求左边界当中点小于,移向中点,否则移向中点先判断起点,再判断终点是否等于,如果是,赋值给。
Problem
Given a sorted array of n integers, find the starting and ending position of a given target value.
If the target is not found in the array, return [-1, -1].
ExampleGiven [5, 7, 7, 8, 8, 10] and target value 8,
return [3, 4].
O(log n) time.
Note首先,建立二元结果数组res,起点start,终点end。
二分法求左边界:
当中点小于target,start移向中点,否则end移向中点;
先判断起点,再判断终点是否等于target,如果是,赋值给res[0]。
二分法求右边界:
当中点大于target,end移向中点,否则start移向中点;
先判断终点,再判断起点是否等于target,如果是,赋值给res[1]。
返回res。
public class Solution { public int[] searchRange(int[] A, int target) { int []res = {-1, -1}; if (A == null || A.length == 0) return res; int start = 0, end = A.length - 1; int mid; while (start + 1 < end) { mid = start + (end - start) / 2; if (A[mid] < target) start = mid; else end = mid; } if (A[start] == target) res[0] = start; else if (A[end] == target) res[0] = end; else return res; start = 0; end = A.length - 1; while (start + 1 < end) { mid = start + (end - start) / 2; if (A[mid] > target) end = mid; else start = mid; } if (A[end] == target) res[1] = end; else if (A[start] == target) res[1] = start; else return res; return res; } }Another Binary Search Method
public class Solution { public int[] searchRange(int[] nums, int target) { int n = nums.length; int[] res = {-1, -1}; int start = 0, end = n-1; while (nums[start] < nums[end]) { int mid = start + (end - start) / 2; if (nums[mid] > target) end = mid - 1; else if (nums[mid] < target) start = mid + 1; else { if (nums[start] < target) start++; if (nums[end] > target) end--; } } if (nums[start] == target) { res[0] = start; res[1] = end; } return res; } }
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