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Greedy Algorithm for Monotone Submodular Functions and k-Restricted Steiner Trees

Explore a general result on greedy algorithms for k-restricted Steiner trees with a non-integer potential function. The theorem shows the approximation guarantee, Loss(T) operation, and the proof outline for optimal solutions.

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Greedy Algorithm for Monotone Submodular Functions and k-Restricted Steiner Trees

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  1. Chapter 3 Restriction (2) Greedy k-restricted Steiner tree Ding-Zhu Du

  2. A general result on greedy algorithm With non-integer potential function Consider a monotone increasing, submodular function Consider the following problem: where is a nonnegative cost function

  3. Greedy Algorithm G

  4. Theorem Suppose in Greedy Algorithm G, selected x always satisfies Then its p.r. where

  5. Proof. Let be obtained by Greedy Algorithm G. Denote be an optimal solution. Let Denote

  6. Note that There exists i such that

  7. Let Let Note that So

  8. Note Hence,

  9. Consider where is the length of MST on P after terminals in each connected component of H are contracted into a point. Consider the set of all full component of size at most k. Theorem. is a monotone increasing submodular function on

  10. consider each For k >2, as a set of edges in a spanning tree on terminals. For

  11. iff iff i.e.,

  12. For k=2, is the length of a longest edge in the path connecting two endpoints of , in MST(A). x

  13. x x x x y

  14. x x x y

  15. Greedy Algorithm G is Theorem -approximation for . Greedy Algorithm G produces approximation solution for SMT with length at most

  16. Loss(T)

  17. Loss(T)

  18. Operation

  19. Function

  20. Lemma

  21. Function

  22. Lemma Proof.

  23. Greedy Algorithm

  24. Lemma Proof

  25. Greedy Algorithm

  26. Robin-Zelikvosky

  27. What is ?

  28. Lemma

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