Normal view MARC view ISBD view

Parameterized and Exact Computation [electronic resource] : 5th International Symposium, IPEC 2010, Chennai, India, December 13-15, 2010. Proceedings / edited by Venkatesh Raman, Saket Saurabh.

Contributor(s): Raman, Venkatesh [editor.] | Saurabh, Saket [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 6478Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Edition: 1st ed. 2010.Description: X, 239 p. 18 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642174933.Subject(s): Algorithms | Computer science -- Mathematics | Discrete mathematics | Computer science | Algorithms | Discrete Mathematics in Computer Science | Theory of Computation | Symbolic and Algebraic ManipulationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 518.1 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBook
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.