The Sqrt(x) interview question is a classic challenge: given a non-negative integer , find its square root rounded down to the nearest integer. You are essentially finding the largest integer such that . This is a baseline question for understanding how to search for values in a continuous or discrete mathematical range.
Companies like Google, Nvidia, and LinkedIn use this problem to see if a candidate understands the efficiency of different search algorithms. It's a perfect test of the Binary Search interview pattern. Interviewers also use it to check for "defensive programming"—handling edge cases and potential overflow issues that arise when squaring large numbers.
Binary Search is the most efficient Algorithmic pattern for this problem. You treat the integers from 0 to as a sorted array. By checking the middle value and comparing with , you can discard half of the remaining numbers in each step. Alternatively, Newton's Method can be used, which is an iterative way to find roots using calculus, but binary search is more common in coding interviews.
Suppose you want the integer square root of 15.
long for the product of mid * mid in languages like Java or C++.while (low < high) and missing the case where low == high is the answer.When asked this Sqrt(x) coding problem, first mention the linear approach to show you understand the problem, then immediately explain why binary search is better (). Mentioning Newton's Method can also show extra depth in your mathematical knowledge.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Sqrt(x) | Easy | Solve | |
| Valid Perfect Square | Easy | Solve | |
| Arranging Coins | Easy | Solve | |
| Nth Digit | Medium | Solve | |
| Reach a Number | Medium | Solve |