By Kurt Mehlhorn (auth.), Andreas Dress, Yinfeng Xu, Binhai Zhu (eds.)

This ebook constitutes the refereed lawsuits of the 1st foreign convention on Combinatorial Optimization and functions, COCOA 2007, held in Xi'an, China in August 2007.

The 29 revised complete papers provided including eight invited papers and a couple of invited displays have been rigorously reviewed and chosen from 114 submissions. The papers characteristic unique study within the components of combinatorial optimization - either theoretical concerns and and purposes prompted through real-world difficulties hence displaying convincingly the usefulness and potency of the algorithms mentioned in a realistic setting.

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Extra info for Combinatorial Optimization and Applications: First International Conference, COCOA 2007, Xi’an, China, August 14-16, 2007. Proceedings

Example text

For any CDG, there is a linear time approximation algorithm with approximation ratio 2. Lemma 11. Let G be a CDG in which every cycle has at most three vertices with degree more than two. Let T be the tree obtained from G by contracting every cycle of G into a vertex. If the degree of each cycle vertex in G is at most three, then s(G) ≤ s(T ) + 1. Let S = (a1 , . . , ak ) be an optimal monotonic search strategy for a graph. The reversal of S, denoted as S R , is defined by S R = (ak , ak−1 , . .

We now compare the two algorithms. In our main modified function, if the condition of the while-loop is satisfied, then by Lemma 3, U has a kconstituent tree of type Cb that contains v. Let T [u] be this constituent tree and u be the only cycle vertex in T [u]. The first element in the label of u in T [u] must be k-critical element. Let L(r) be the label of r in T [r] and L(u) be the label of u in T [u]. We can obtain the label of r in T [r] − T [v] and the label of u in T [u] − T [v] by deleting the first element of each label, according to the definition of labels [3].

In Section 6, we investigate approximation algorithms for computing the search number of a cycle-disjoint graph. 2 Preliminaries All graphs in this paper are finite without loops and multiple edges. A rooted tree is a tree with one vertex designated as the root of the tree. We use T [r] to denote a rooted tree T with root r. For any two vertices v1 and v2 in T [r], if there is a path from r to v2 that contains v1 , then we say v2 is a descendant of v1 ; specifically, if v2 is adjacent to v1 , we say v2 is a child of v1 .

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