📅 2024-07-01 — Session: Graph Theory Algorithms Analysis
🕒 19:25–19:45
🏷️ Labels: Graph Theory, Algorithms, MST, Study Assistance, Optimization
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and analyze various graph theory algorithms, focusing on Minimum Spanning Trees (MST) and pathfinding algorithms.
Key Activities
- Provided study assistance for exam preparation, focusing on clear explanations of specific topics.
- Discussed the concept of Minimum Spanning Tree (MST) and relevant algorithms such as Kruskal, Prim, BFS, and DFS.
- Analyzed algorithms to find an MST in a connected graph with distinct edge weights, emphasizing the uniqueness of the MST.
- Evaluated statements about edge membership in MSTs and determined their validity.
- Reviewed Facundo’s algorithm for finding cycles in graphs, concluding its correctness and analyzing its time complexity.
- Detailed an approach to solve path optimization problems in graphs using Dijkstra and Bellman-Ford algorithms.
Achievements
- Gained insights into the efficiency and application of various graph algorithms.
- Clarified the uniqueness and properties of MSTs in different contexts.
Pending Tasks
- Further exploration of advanced graph algorithms and their applications in real-world scenarios.