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Square Root
Unit 7 Session 1 (Click for link to problem statements)
- 💡 Difficulty: Medium
- ⏰ Time to complete: 15 mins
- 🛠️ Topics: Binary Search, Mathematics
Understand what the interviewer is asking for by using test cases and questions about the problem.
- Established a set (2-3) of test cases to verify their own solution later.
- Established a set (1-2) of edge cases to verify their solution handles complexities.
- Have fully understood the problem and have no clarifying questions.
- Have you verified any Time/Space Constraints for this problem?
- Q: How should the function handle very small values, like 0 or 1?
- A: The function should return the input itself for 0 and 1, as the square root of 0 is 0 and of 1 is 1.
HAPPY CASE
Input: 16
Output: 4
Explanation: The square root of 16 is 4, which is a perfect square.
EDGE CASE
Input: 27
Output: 5
Explanation: The square root of 27 is approximately 5.196, so the floor value is 5.
Match what this problem looks like to known categories of problems, e.g. Linked List or Dynamic Programming, and strategies or patterns in those categories.
This is a number computation problem that can effectively be solved using binary search to find the floor of the square root:
- Utilizing binary search to narrow down the possible values for the square root.
Plan the solution with appropriate visualizations and pseudocode.
General Idea: Implement a binary search to find the largest integer whose square is less than or equal to the given number.
1) If `x` is 0 or 1, return `x` as the square root is the number itself.
2) Initialize the search range with `left` = 1 and `right` = x / 2.
3) While `left` is less than or equal to `right`:
- Calculate the middle value (`mid`).
- Compute the square of `mid`.
- If the square is exactly `x`, return `mid`.
- If the square is less than `x`, adjust `left` to `mid + 1`.
- If the square is more than `x`, adjust `right` to `mid - 1`.
4) Return `right` as the largest integer whose square is less than `x`.
- Not adjusting the binary search bounds correctly could lead to infinite loops or incorrect results.
Implement the code to solve the algorithm.
def sqrt(x):
if x < 2:
return x
left, right = 1, x // 2
while left <= right:
mid = (left + right) // 2
mid_squared = mid * mid
if mid_squared == x:
return mid
elif mid_squared < x:
left = mid + 1
else:
right = mid - 1
return right
Review the code by running specific example(s) and recording values (watchlist) of your code's variables along the way.
- Test the function with input 16 to ensure it returns 4.
- Validate the function with input 27 to check that it returns 5 as the floor of the square root.
Evaluate the performance of your algorithm and state any strong/weak or future potential work.
-
Time Complexity:
O(log n)
due to the binary search process, which halves the search range with each iteration. -
Space Complexity:
O(1)
as it only uses a few variables for computation.