1. Lecture 27 CSE 331 Nov 6, 2009

2. Homework related stuff Solutions to HW 7 and HW 8 at the END of the lecture Turn in HW 7

3. Kruskal’s Algorithm Joseph B. Kruskal Input: G=(V,E), c e > 0 for every e in E T = Ø Sort edges in increasing order of their cost Consider edges in sorted order If an edge can be added to T without adding a cycle then add it to T

4. Prim’s algorithm Similar to Dijkstra’s algorithm Input: G=(V,E), c e > 0 for every e in E S = {s}, T = Ø While S is not the same as V Among edges e= (u,w) with u in S and w not in S, pick one with minimum cost Add w to S, e to T

5. Crucial Lemma for MSTs S S V \ S Cheapest crossing edge is in all MSTs Condition: S and V\S are non-empty Assumption: All edge costs are distinct

6. S S V \ S Optimality of Kruskal’s Algorithm Input: G=(V,E), c e > 0 for every e in E T = Ø Sort edges in increasing order of their cost Consider edges in sorted order If an edge can be added to T without adding a cycle then add it to T S S Nodes connected to red in (V,T) S is non-empty V\S is non-empty First crossing edge considered

7. Kruskal’s algo outputs MST Group talk time!

8. Is (V,T) a spanning tree? No cycles by design Just need to show that (V,T) is connected S’ V \ S’ No edges here G is disconnected!

9. Crucial Lemma for MSTs S S V \ S Cheapest crossing edge is in all MSTs Condition: S and V\S are non-empty

10. Optimality of Prim’s algorithm Input: G=(V,E), c e > 0 for every e in E S = {s}, T = Ø While S is not the same as V Among edges e= (u,w) with u in S and w not in S, pick one with minimum cost Add w to S, e to T S is already defined for us! S not Ø By induction, show that (S,T) is a tree

11. Prove the Crucial Lemma S S V \ S Cheapest crossing edge is in all MSTs Condition: S and V\S are non-empty