📅 2024-04-17 — Session: Optimized Binary Search for i-th Element in Arrays
🕒 17:20–18:30
🏷️ Labels: Algorithm, Binary Search, Optimization, Debugging, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to optimize and correct an algorithm for finding the i-th element in two merged sorted arrays without fully merging them.
Key Activities
- Reflection on Algorithm Education: Analyzed challenges in understanding recursive algorithms and logarithmic complexity, with recommendations for improved teaching strategies.
- Algorithm Correction: Identified and corrected issues in a binary search algorithm used for finding the i-th element in merged arrays, focusing on index management and element comparison logic.
- Optimization Techniques: Applied median-based decision-making and exponential search techniques to optimize the algorithm to O(log n) complexity.
- Debugging: Utilized print statements for step-by-step debugging of the
iesimo_merge
function.
Achievements
- Successfully refined the
iesimo_merge
function to achieve logarithmic complexity. - Enhanced the robustness and clarity of the binary search algorithm through improved index management and logic correction.
Pending Tasks
- Further testing of the optimized algorithm in different scenarios to ensure robustness across edge cases.