Searching Algorithms
BeginnerMaster techniques for finding elements in data structures
Core Concepts
- Linear search patterns
- Binary search and prerequisites
- Search space reduction
- Time-space tradeoffs
Real-World Uses
- Search engines
- Autocomplete features
- Database indexing
- Phone book lookups
- Finding files in filesystems
You Will Learn
- Implement linear and binary search
- Understand when to use each algorithm
- Optimize search operations
- Handle edge cases effectively
Algorithms in this Category
Linear Search
SearchingA sequential search algorithm that starts at one end and goes through each element of a list until the desired element is found.
Binary Search
SearchingAn efficient algorithm for finding an item from a sorted list of items. It works by repeatedly dividing in half the portion of the list that could contain the item.
Jump Search
SearchingA searching algorithm for sorted arrays. The basic idea is to check fewer elements by jumping ahead by fixed steps.
Exponential Search
SearchingA search algorithm particularly useful for unbounded or infinite arrays. It finds the range where the target element exists by exponentially increasing the index, then performs binary search within that range.
Interpolation Search
SearchingAn improved variant of binary search for uniformly distributed sorted arrays. Instead of always checking the middle element, it estimates the position of the target based on its value.
Fibonacci Search
SearchingA comparison-based search technique that uses Fibonacci numbers to divide the array into unequal parts. It's similar to binary search but divides the array using Fibonacci numbers instead of dividing it in half.