Binary Search
Given a sorted array of integers and a target, return the index of the target in the array. If the target doesn't exist, return -1. Your solution must run in O(log n) time.
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Problem
Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1.
Input
A sorted (ascending) array of distinct integers `nums`, and an integer `target`.
Output
The index of `target` in `nums`, or -1 if it's not present.
Examples
Input: nums = [-1, 0, 3, 5, 9, 12], target = 9
Output: 4
9 is at index 4.
Input: nums = [-1, 0, 3, 5, 9, 12], target = 2
Output: -1
2 is not in the array.
The brute-force approach
Scan the array from left to right. Return the index when you find the target, or -1 if you reach the end without a match.
for i in 0 .. len(nums) - 1:
if nums[i] == target:
return i # found it
return -1 # scanned everything, not hereIn the worst case you check every element. O(n). For an array of a million sorted numbers, that's up to a million comparisons. Binary search can do it in about 20.
Spotting the pattern
This is a Binary Search problem. The key question to ask yourself:
Can I eliminate half the remaining search space with each comparison?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
Unlock the full guided solution
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