Preparing your Lab
AllScienceTools
AllScienceTools
Algorithm efficiency.
Mastering Big-O Complexity is a key step in your Reference Materials journey. We built this Big-O Complexity to be your personal study assistant—helping you solve problems step-by-step, verify your homework answers, and build confidence before exams.
This tool handles the computation, allowing you to focus on the underlying logic and problem-solving strategies. It is particularly useful for verifying hand-written work and exploring different problem scenarios instantly.
Instant, high-precision results
Mobile-friendly interface
Ad-free study environment
Step-by-step logical verification
Understanding Big-O Complexity is fundamental. Our calculator uses standard algorithms aligned with academic curriculums to ensure the results match what you need for your classes.
| Structure | Access | Search | Insert | Delete |
|---|---|---|---|---|
| Array | O(1) | O(n) | O(n) | O(n) |
| Stack | O(n) | O(n) | O(1) | O(1) |
| Queue | O(n) | O(n) | O(1) | O(1) |
| Hash Table | N/A | O(1) | O(1) | O(1) |
| BST | O(log n) | O(log n) | O(log n) | O(log n) |
| AVL Tree | O(log n) | O(log n) | O(log n) | O(log n) |
| Algorithm | Time Complexity (Avg) | Space Complexity |
|---|---|---|
| Quick Sort | O(n log n) | O(log n) |
| Merge Sort | O(n log n) | O(n) |
| Heap Sort | O(n log n) | O(1) |
| Bubble Sort | O(n²) | O(1) |
| Insertion Sort | O(n²) | O(1) |
| Radix Sort | O(nk) | O(n+k) |