Master SearchAlgorithms Visually
Explore efficient search techniques from binary to interpolation search with interactive visualizations.
Choose Your AlgorithmStart Visualizing
Click on any algorithm card to see it in action with interactive step-by-step visualization
Binary Search
Divide and conquer algorithm for sorted arrays. Extremely efficient logarithmic search.
O(log n)O(log n)Linear Search
Simple sequential search through all elements. Works on unsorted data.
O(n)O(n)Jump Search
Block-based search for sorted arrays. Better than linear, simpler than binary.
O(√n)O(√n)Interpolation Search
Improved binary search for uniformly distributed data using position estimation.
O(log log n)O(n)Exponential Search
Combines unbounded search with binary search for infinite arrays.
O(log n)O(log n)Ternary Search
Divides array into three parts instead of two. Used for unimodal functions.
O(log₃ n)O(log₃ n)Fibonacci Search
Uses Fibonacci numbers to divide array. Better for sequential memory access.
O(log n)O(log n)Sentinel Linear Search
Optimized linear search that reduces number of comparisons.
O(n)O(n)Meta Binary Search
One-sided binary search using bit manipulation for efficiency.
O(log n)O(log n)Ubiquitous Binary Search
Generalized binary search template for various problems.
O(log n)O(log n)Each algorithm includes interactive visualization, code implementation, and complexity analysis
All Search AlgorithmsDetailed Overview
Explore 10 search algorithms with complexity analysis, pros & cons, and use cases
Complete AlgorithmComparison Table
Compare all 10 search algorithms at a glance
| Algorithm | Type | Best | Average | Worst | Space | Requires Sorted |
|---|---|---|---|---|---|---|
| Binary Search | Divide & Conquer | O(1) | O(log n) | O(log n) | O(1) | |
| Linear Search | Sequential | O(1) | O(n) | O(n) | O(1) | |
| Jump Search | Block-based | O(1) | O(√n) | O(√n) | O(1) | |
| Interpolation Search | Position-based | O(1) | O(log log n) | O(n) | O(1) | |
| Exponential Search | Unbounded | O(1) | O(log n) | O(log n) | O(1) | |
| Ternary Search | Divide & Conquer | O(1) | O(log₃ n) | O(log₃ n) | O(1) | |
| Fibonacci Search | Sequential | O(1) | O(log n) | O(log n) | O(1) | |
| Sentinel Linear | Sequential | O(1) | O(n) | O(n) | O(1) | |
| Meta Binary | Bit Manipulation | O(1) | O(log n) | O(log n) | O(1) | |
| Ubiquitous Binary | Template | O(1) | O(log n) | O(log n) | O(1) |
Legend & Performance Notes
n: Number of elements
√n: Square root of n
log n: Logarithm base 2 of n
Best case: Element found immediately
Average: Element in middle of array
Worst: Element at end or not found