Parameterized and Exact Computation: 5th International Symposium, Ipec 2010, Chennai, India, December 13-15, 2010. Proceedings

ISBN-13: 9783642174926 / Angielski / Miękka / 2010 / 239 str.

Venkatesh Raman; Saket Saurabh

Opis

This book constitutes the refereed best selected papers of the 5th International Symposium on Parameterized and Exact Computation, IPEC 2010, held in Chennai, India, in December 2010.The 19 revised full papers presented were carefully reviewed and selected from 32 submissions. The topics addressed cover research in all aspects of parameterized and exact computation and complexity, including but not limited to new techniques for the design and analysis of parameterized and exact algorithms; parameterized complexity theory; relationship between parameterized complexity and traditional complexity classifications; applications of parameterized and exact computation; implementation issues of parameterized and exact algorithms; fixed-parameter approximation; fast approximation in exponential time; kernelization lower and upper bounds.

Spis treści

The Complexity of Satisfaction on Sparse Graphs.- Protrusions in Graphs and Their Applications.- Parameterized Complexity Results in Symmetry Breaking.- On the Kernelization Complexity of Colorful Motifs.- Partial Kernelization for Rank Aggregation: Theory and Experiments.- Enumerate and Measure: Improving Parameter Budget Management.- On the Exact Complexity of Evaluating Quantified k-CNF.- Cluster Editing: Kernelization Based on Edge Cuts.- Computing the Deficiency of Housing Markets with Duplicate Houses.- A New Lower Bound on the Maximum Number of Satisfied Clauses in Max-SAT and Its Algorithmic Application.- An Improved FPT Algorithm and Quadratic Kernel for Pathwidth One Vertex Deletion.- Multivariate Complexity Analysis of Swap Bribery.- Parameterizing by the Number of Numbers.- Are There Any Good Digraph Width Measures?.- On the (Non-)existence of Polynomial Kernels for P l -free Edge Modification Problems.- Parameterized Complexity Results for General Factors in Bipartite Graphs with an Application to Constraint Programming.- On the Grundy Number of a Graph.- Exponential Time Complexity of Weighted Counting of Independent Sets.- The Exponential Time Complexity of Computing the Probability That a Graph Is Connected.- Inclusion/Exclusion Branching for Partial Dominating Set and Set Splitting.- Small Vertex Cover Makes Petri Net Coverability and Boundedness Easier.- Proper Interval Vertex Deletion.