Binary Search: The Complete Interview Guide
Binary search is a fundamental algorithm that every software engineer must master. It appears in approximately 20% of all FAANG coding interviews.
Understanding Binary Search
Binary search is an efficient algorithm for finding a target value within a sorted array. It works by repeatedly dividing the search interval in half.
Classic Binary Search Template
def binary_search(arr, target):
left, right = 0, len(arr) - 1
while left <= right:
mid = left + (right - left) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
left = mid + 1
else:
right = mid - 1
return -1
Common Variations
- Search in Rotated Sorted Array
- Find Peak Element
- Binary Search on Answer
- Search in 2D Matrix
Key Insights
- Always avoid integer overflow when calculating mid
- Consider edge cases: empty array, single element
- Think about whether you need left <= right or left < right
Practice Problems
Start with these essential problems:
- Search Insert Position
- Find First and Last Position
- Find Minimum in Rotated Sorted Array
Master binary search and unlock a huge category of interview problems!
