
WALCOM: Algorithms and Computation
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The 22 full papers presented were carefully reviewed and selected from 50 submissions. The papers cover diverse areas of algorithms and computation, such as approximation algorithms, computational geometry, combinatorial algorithms, computational biology, computational complexity, data structures, graph and network algorithms, and online algorithms.
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Content
- Intro
- Preface
- Organization
- Invited Talks
- Optimal Sink Location Problems on Dynamic Flow Networks
- Logic in Computational Biology
- Morphing Planar Graph Drawings
- Contents
- A Simple Algorithm for r-gatherings on the Line
- 1 Introduction
- 2 r-gather-clustering on the Line
- 3 r-gathering
- 4 Conclusion
- References
- Enumeration of Nonisomorphic Interval Graphs and Nonisomorphic Permutation Graphs
- 1 Introduction
- 2 Preliminaries
- 3 General Framework
- 4 Enumeration of Nonisomorphic Interval Graphs
- 4.1 Canonical Representation
- 4.2 Parent-Child Relationship
- 4.3 Algorithm Analysis
- 4.4 Three Variants of Enumeration
- 5 Enumeration of Nonisomorphic Permutation Graphs
- 5.1 Canonical Representation
- 5.2 Parent-Child Relationship
- 5.3 Algorithm Analysis
- 6 Experimental Results
- 7 Concluding Remarks
- References
- Secret Key Amplification from Uniformly Leaked Key Exchange Complete Graph
- 1 Introduction
- 2 Known Results
- 3 Simple Protocol for up to 2n-3 Keys
- 4 Finding the Minimum Leak Probability
- 4.1 Formula for
- 4.2 Examples of Polynomials
- 5 Comparison
- 6 Conclusion
- References
- Approximating Partially Bounded Degree Deletion on Directed Graphs
- 1 Introduction
- 1.1 Our Work and Contributions
- 1.2 Notations and Definitions
- 2 Approximating PBDD via Submodular Optimization
- 3 Fully Bounded Degree Deletion
- 4 Partially Bounded Degree Deletion
- 4.1 Approximation Hardness
- 4.2 Approximation Algorithm
- References
- Minimum-Width Annulus with Outliers: Circular, Square, and Rectangular Cases
- 1 Introduction
- 2 Preliminaries
- 3 Circular Annulus with Outliers
- 4 Square Annulus with Outliers
- 4.1 Configuration of Optimal Solutions
- 4.2 Finding Candidate Outer Squares
- 4.3 Finding the Largest Inner Square for a Candidate Pair
- 5 Rectangular Annulus with Outliers
- 5.1 Finding the Smallest-Width Annulus for a Fixed Outer Rectangle
- 5.2 Putting it all Together
- References
- Minimum-Width Square Annulus Intersecting Polygons
- 1 Introduction
- 2 Preliminaries
- 3 Minimum-Width Square Annulus for Polygons
- 3.1 Computing Voronoi Diagrams
- 3.2 Searching the Region Between Two Polygonal Terrains
- 4 Minimum-Width Square Annulus for Convex Polygons
- 4.1 Properties of the Farthest-Outer Voronoi Diagram
- 4.2 Computing the Farthest-Outer Voronoi Diagram
- 4.3 Searching the Region Between Two Polygonal Terrains
- References
- Two New Schemes in the Bitprobe Model
- 1 Introduction
- 1.1 The Problem Statements
- 1.2 Previous Results
- 1.3 Our Contribution
- 2 Arrangement of Elements
- 3 The Adaptive Scheme
- 3.1 Our Datastructure
- 3.2 The Query Scheme
- 3.3 The Storage Scheme
- 4 The Non-adaptive Scheme
- 4.1 Our Datastructure
- 4.2 The Query Scheme
- 4.3 The Storage Scheme
- 5 Conclusion
- References
- Faster Network Algorithms Based on Graph Decomposition
- 1 Introduction
- 1.1 Related Work
- 1.2 Our Contribution
- 2 Preliminaries
- 2.1 BC-Trees
- 2.2 SPQR Trees
- 2.3 Mimicking Networks
- 2.4 Tree Product Queries
- 3 Preprocessing
- 3.1 Constructing D0 Data Structure
- 3.2 Constructing D1 Data Structure
- 3.3 Constructing D2 Data Structure
- 4 Computing s-t Max Flow in O(m+nr) Time
- 5 Algorithms for MFIP
- 5.1 Algorithms for Fast Queries
- 5.2 An Algorithm with Small Index
- 6 Dynamic Update and Query
- 7 Algorithms for Other Problems
- 8 Concluding Remarks
- References
- An Improvement of the Algorithm of Hertli for the Unique 3SAT Problem
- 1 Introduction
- 2 Hertli's Algorithm
- 3 Our Improvements
- References
- Random Popular Matchings with Incomplete Preference Lists
- 1 Introduction
- 1.1 Popular Matching
- 1.2 Related Work
- 1.3 Our Results
- 2 Preliminaries
- 3 Complete Preference Lists Setting
- 4 Incomplete Preference Lists Setting
- 4.1 Top-Choice Graph
- 4.2 Size of A2
- 5 Main Results
- 5.1 Upper Bound
- 5.2 Lower Bound
- 5.3 Phase Transition
- 5.4 Discussion
- References
- Scheduling Batch Processing in Flexible Flowshop with Job Dependent Buffer Requirements: Lagrangian Relaxation Approach
- 1 Introduction
- 2 Notation and Integer Programming Formulation
- 2.1 Integer Programming Formulation
- 3 Lagrangian Relaxation
- 3.1 Solution of the Lagrangian Relaxation Subproblems
- 3.2 Choice of the Planning Horizon
- 4 Lagrangian Heuristic
- 4.1 Wait Algorithm
- 5 Computational Experiments
- 6 Conclusion
- References
- Computing Periods.
- 1 Introduction
- 1.1 Real Computation
- 1.2 Periods and Their Computational Complexity
- 2 Our Algorithms and Their Analyses
- 2.1 Recap on Real Algebraic Geometry
- 2.2 A Real Randomized Algorithm
- 2.3 A Deterministic Algorithm
- 2.4 A Transcendental Algorithm
- 3 Implementation and Evaluation
- 3.1 Computing Environment
- 3.2 Performance Results
- 3.3 Interpretation
- 4 Conclusion and Perspectives
- References
- A Note on Online Colouring Problems in Overlap Graphs and Their Complements
- 1 Introduction
- 2 Preliminaries
- 3 Partitioning an Overlap Graph into Permutation Graphs
- 4 Competitiveness Through Partitioning
- 5 Approximation of Offline Variants
- 6 Concluding Remarks
- References
- Online Facility Assignment
- 1 Introduction
- 1.1 Related Work
- 1.2 Our Contributions
- 2 Preliminaries
- 3 Facility Assignment on a Line
- 3.1 Algorithm Greedy
- 3.2 Algorithm -Randomized-Greedy
- 3.3 Competitive Analysis of Algorithm Optimal-Fill
- 4 Facility Assignment on Connected Unweighted Graphs
- 4.1 Competitive Analysis of Algorithm Greedy
- 4.2 Competitive Analysis of Algorithm Optimal-Fill
- 5 Facility Assignment with a Finite Service Time
- 6 Conclusion
- References
- Fault-Tolerant Complete Visibility for Asynchronous Robots with Lights Under One-Axis Agreement
- 1 Introduction
- 2 Model and Preliminaries
- 3 Algorithm
- 4 Discussion and Concluding Remarks
- References
- A Simple, Fast, Filter-Based Algorithm for Circular Sequence Comparison
- 1 Introduction
- 1.1 Applications and Motivations
- 1.2 Our Contribution
- 1.3 Road Map
- 2 Preliminaries
- 3 Brief Literature Review
- 4 Filtering Algorithm
- 4.1 Overview of Our Approach
- 4.2 Filters of SimpLiFiCPM
- 4.3 The Approach of Our Algorithm
- 5 Experimental Results
- 5.1 Datasets
- 5.2 Environment
- 5.3 Experimental Results
- 6 Conclusions
- References
- Boosting over Non-deterministic ZDDs
- 1 Introduction
- 2 Problem Statement and AdaBoost*
- 2.1 1-Norm Hard Margin Maximization
- 2.2 AdaBoost*
- 2.3 AdaBoost
- 3 A Dag Representation for Samples
- 3.1 Non-deterministic ZDD (NZDD)
- 3.2 NZDD Representation for the Sample
- 3.3 Relations to ZDDs and NFAs
- 3.4 Complexity of Constructing NZDDs
- 4 Simulating AdaBoost* over an NZDD Representation for The sample
- 4.1 Updating the Path Distributions dt
- 4.2 Computing the Edges t,j
- 5 Conclusions
- References
- On Multiple Longest Common Subsequence and Common Motifs with Gaps (Extended Abstract)
- 1 Introduction
- 2 Background
- 2.1 Common Motifs with Gaps
- 2.2 Multiple Longest Common Subsequence
- 3 Complexity of Common Motifs with Gaps
- 4 Algorithms
- 4.1 A Branch and Bound Algorithm for MLCS Problem
- 4.2 A Branch and Bound Algorithm for CMG
- 5 Conclusions
- References
- FPT Algorithms Exploiting Carving Decomposition for Eulerian Orientations and Ice-Type Models
- 1 Introduction
- 2 Definitions
- 2.1 Graph Definitions
- 2.2 Carving Decomposition
- 3 Algorithm for Eulerian Orientations
- 3.1 Description of Algorithm1
- 3.2 Correctness and Complexity
- 4 Algorithm for Ice-Type Models
- 4.1 Description of Algorithm2
- 4.2 Correctness and Complexity
- 5 Conclusion
- References
- On Structural Parameterizations of Happy Coloring, Empire Coloring and Boxicity
- 1 Introduction
- 2 Preliminaries
- 3 Happy Coloring
- 4 Empire Coloring
- 5 Boxicity
- References
- Complexity of the Maximum k-Path Vertex Cover Problem
- 1 Introduction
- 2 Preliminaries
- 3 NP-Hardness of MaxP3VC on Split Graphs and MaxP4VC on Chordal Graphs
- 4 Algorithm for MaxP3VC on Trees
- 5 Algorithm for MaxP3VC on Graphs with Bounded Treewidth
- References
- On the Parallel Parameterized Complexity of the Graph Isomorphism Problem
- 1 Introduction
- 2 Preliminaries
- 3 GI for Distance to a Graph Class is in Para-AC1
- 4 GI Parameterized by Vertex Cover is in Para-TC 0
- 5 Logspace GI Algorithms for Bounded Distance to Graph Classes
- 6 Conclusion
- References
- Author Index
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