For a given sorted array (ascending order) and a target number, find the first index of this number in O(log n) time complexity.
If the target number does not exist in the array, return -1.
Example
If the array is [1, 2, 3, 3, 4, 5, 10], for given target 3, return 2.
Challenge
If the count of numbers is bigger than 2^32, can your code work properly?
思路
二分法。找到nums[mid] == target时,因为我们是要找第一个符合的位置,所以要接着往前找,并包括这个,也就是end = mid。
Code
class Solution { /** * @param nums: The integer array. * @param target: Target to find. * @return: The first position of target. Position starts from 0. */ public int binarySearch(int[] nums, int target) { //write your code here if (nums == null || nums.length == 0) { return -1; } int start = 0; int end = nums.length - 1; while (start + 1 < end) { int mid = start + (end - start) / 2; if (nums[mid] >= target) { end = mid; } else if (nums[mid] < target) { start = mid; } } if (nums[start] == target) { return start; } if (nums[end] == target) { return end; } return -1; } }