Problem
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.
ExampleIf the array is [1, 2, 3, 3, 4, 5, 10], for given target 3, return 2.
challengeIf the count of numbers is bigger than 2^32, can your code work properly?
Notewhile (start + 1 < end)
+1 guaranteed that there always exists mid.
In the for loop, the else branch is actually when num[mid] >= target, why? Because this ensures that the mid pointer goes to the former ones if target is right in the middle.
class Solution { public int binarySearch(int[] nums, int target) { //write your code here if (nums == null || nums.length < 1) { return -1; } int len = nums.length; int start = 0, end = len - 1; while (start + 1 < end) { //for the challenge: avoid overflow int mid = start + (end - start) / 2; if (nums[mid] < target) { start = mid; } else { end = mid; } } //after the while loop, only num[start] and num[end] left. //so just discuss them if (nums[start] == target) { return start; } if (nums[end] == target) { return end; } return -1; } }
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