📅 2023-08-03 — Session: Developed Greedy Algorithm for Dance Pairing Problem
🕒 18:50–20:00
🏷️ Labels: Greedy Algorithm, Dance Pairing, Algorithm Design, Education, Optimization
📂 Project: Teaching
Session Goal
The session aimed to explore and implement a greedy algorithm to solve the ‘Parejas de Baile’ problem, which involves pairing dancers based on skill levels and other attributes.
Key Activities
- Problem Explanation: Detailed the ‘Parejas de Baile’ problem, including matching rules and educational activity guidance.
- Visual Representation: Created diagrams to illustrate the problem and algorithm flow for better understanding.
- Algorithm Development: Introduced and implemented the greedy strategy, focusing on sorting and matching dancers by skill levels.
- Correctness Demonstration: Formalized the algorithm’s correctness using loop invariants and inductive reasoning.
- Complexity Analysis: Discussed the computational complexity and optimization potential of the greedy approach.
Achievements
- Successfully developed and documented a greedy algorithm for the dance pairing problem.
- Created educational materials and visual aids to facilitate understanding and teaching of the algorithm.
Pending Tasks
- Further exploration of alternative algorithms for pairing optimization, considering additional constraints and attributes.
- Potential integration of the algorithm into a broader educational curriculum or software tool.