Graphs and Algorithms: Exploring Minimum Spanning Trees and Shortest Path Algorithms

Graphs and Algorithms: Exploring Minimum Spanning Trees and Shortest Path Algorithms
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Dive into the world of graphs with a focus on Minimum Spanning Trees (MST) and Single Source Shortest Path (SSSP) algorithms. Learn about MST algorithms like Prim's and Kruskal's, delve into Dijkstra's Algorithm for SSSP, and understand the importance of using heaps in optimization. Explore applications, pseudocode, analysis, and proofs related to these fundamental graph concepts.

  • Graphs
  • Algorithms
  • MST
  • SSSP
  • Optimization

Uploaded on Feb 20, 2025 | 1 Views


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Presentation Transcript


  1. Topic 13 Graphs 2

  2. Minimum Spanning Tree (MST)

  3. Applications Wikipedia.com mathworks.com

  4. Prims MST Algorithm

  5. Pseudocode

  6. Proof

  7. Kruskals MST Algorithm

  8. Announcements Homework 7 is up Participation 6 is up Final in 2 weeks No office hours next Thursday

  9. Single Source Shortest Path Algorithms (SSSP) Definition:

  10. Dijkstras Algorithm

  11. Dijkstras Algorithm Known Fringe

  12. Pseudocode

  13. Analysis

  14. Using Heaps

  15. Observation (before proof)

  16. Proof

  17. SSSP using BFS

  18. Bellman-Ford d(source, *) Parent Edge (u->v) Pass 1 Pass 2 Pass 3

  19. Pseudocode

  20. Analysis

  21. Topological Sort Def:

  22. UC Santa Cruz Curriculum

  23. SLIC System has a lot of dependences use Makefiles

  24. Example

  25. Pseudocode

  26. Analysis

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