
Computer Science - Theory and Applications
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This book constitutes the proceedings of the 13th International Computer Science Symposium in Russia, CSR 2018, held in Moscow, Russia, in May 2018.
The 24 full papers presented together with 7 invited lectures were carefully reviewed and selected from 42 submissions. The papers cover a wide range of topics such as algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics in computer science; formal languages and automata; algorithms for concurrent and distributed systems; networks; and proof theory and applications of logic to computer science.More details
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Persons
Content
- Intro
- Preface
- Organization
- Abstract of Invited Talks
- Constructive and Non-constructive Combinatorics
- Physarum Solves Non-negative Undirected Linear Programs
- Limitations of Algebraic Lower Bound Proofs
- Complexity of Generation
- Lower Bounds for Unrestricted Boolean Circuits: Open Problems
- Online Labeling: Algorithms, Lower Bounds and Open Questions
- Reading MCSP Through SAT
- Recent Developments on the Asymmetric Traveling Salesman Problem
- Contents
- Complexity of Generation
- 1 How They Measure Complexity of Generation
- 2 Hard Generation Problems
- 2.1 Examples
- 2.2 Circulation Cones and Polyhedra of Digrahs
- 2.3 Verifying Boolean Equalities and Inequalities
- 2.4 Sausage Lemma
- 2.5 A Sketch of the Proof of Theorem 1 for Digraphs
- 3 Flash-Light and Supergraph
- 4 Generating Dual-Bounded Hypergraphs
- 4.1 Monotone Generation
- 4.2 Dualization
- 4.3 Joint Generation BI95,BEGK02,GK95
- 4.4 Generating (Uniformly) Dual-Bounded Hypergraphs
- 5 More Examples of Generation Problems
- 5.1 Monotone Integer Programming BEGK05,BEGKM01,BEGKM02,BEGKM08
- 5.2 Maximal Frequent and Minimal Infrequent Sets in Data Mining AMSTV96,BGKM3,Elb06
- 5.3 Minimal Strongly Connected Subgraphs and Dicuts BEGKM04
- 5.4 Generating Generalized Paths, Cuts, and Spanning Sets in Graphs BEGKM07a,BEGKM07,BEGKM08,RT75
- 5.5 Spanning Linear Spaces by Linear Subspaces BEGK03,BEGKM08a
- 5.6 Polymatroid Functions and Systems of Polymatroid Inequalities BEGK03,BEGKM08a,Lov83,McD75
- 5.7 Uniformly DB Inequalities for Polymatroid Systems BEGK03,BEGKM08a
- References
- Lower Bounds for Unrestricted Boolean Circuits: Open Problems
- 1 Computational Model: Boolean Circuits
- 2 Lower Bounds: Approaches and Open Problems
- 2.1 Known Lower Bounds and Gate Elimination Method
- 2.2 Multi-output Functions
- 2.3 Non-gate-Elimination Lower Bounds
- 2.4 Symmetric Functions
- 2.5 Satisfiability Algorithms
- 2.6 Mass Production
- 2.7 Logarithmic Depth Circuits
- 2.8 Linear Circuits and Matrix Rigidity
- 2.9 Multiplicative Complexity
- References
- Online Labeling: Algorithms, Lower Bounds and Open Questions
- 1 The File Maintenance Problem
- 2 Deterministic Algorithms with Arbitrary Universe
- 3 The Role of the Universe Size
- 4 Randomized Online Labeling
- References
- Maintaining Chordal Graphs Dynamically: Improved Upper and Lower Bounds
- 1 Introduction
- 1.1 Previous Work
- 1.2 Our Results
- 1.3 Organization of the Paper
- 2 Decremental Algorithms Using Clique Tree
- 2.1 Structure with a Worst Case Update Time
- 2.2 Amortized Analysis
- 3 Dynamic Maintenance of Perfect Elimination Ordering
- 3.1 Decremental Algorithm
- 3.2 Fully Dynamic Maintenance of PEO
- 4 Lower Bound
- 5 Conclusions
- References
- Distributed Symmetry-Breaking Algorithms for Congested Cliques
- 1 Introduction
- 1.1 The Congested Clique Model and Problems
- 1.2 Our Results and Techniques
- 1.3 Related Work
- 2 Preliminaries
- 2.1 Definitions
- 3 Forest-Decomposition-CC
- 4 A General Solution with O(a) Time in Congested Clique
- 5 O(a2)-Coloring in O(loga + log* n) Time
- 6 O(a2+) -Coloring in O(log* n) Time
- 7 O(a1+)-Coloring in O(log2 a) Time, O(a)-Coloring in O(a) Time and MIS in O(a) Time
- References
- The Clever Shopper Problem
- 1 Introduction
- 2 Hardness Results
- 3 Positive Results
- 4 Approximations
- 5 Conclusion
- References
- A Tight Lower Bound for Steiner Orientation
- 1 Introduction
- 2 The Reduction
- 2.1 Construction
- 2.2 GRID TILING has a Solution STEINER ORIENTATION has a Solution
- 2.3 STEINER ORIENTATION has a Solution GRID TILING has a Solution
- 2.4 Obtaining the f(k)No(k) Lower Bound
- References
- Can We Create Large k-Cores by Adding Few Edges?
- 1 Introduction
- 2 Classical Complexity: Polytime Algorithms and NP-hardness
- 3 Parameterized Complexity: W[1]-Hardness and FPT Algorithms
- 3.1 FPT Algorithm Parameterized by tw+ k + b
- 4 Conclusions and Future Directions
- References
- Periodicity in Data Streams with Wildcards
- 1 Introduction
- 1.1 Our Contributions
- 1.2 Related Work
- 1.3 Preliminaries
- 2 Our Approach
- 3 Two-Pass Algorithm to Compute Wildcard-Periods
- 3.1 Computing Small Wildcard-Periods
- 3.2 Verifying Candidates
- 3.3 Computing Large Wildcard-Periods
- 4 Lower Bounds
- References
- Maximum Colorful Cycles in Vertex-Colored Graphs
- 1 Introduction
- 2 Hardness Results for MCCP
- 3 An Algorithm for MCCP in Threshold Graphs
- 3.1 Case 1: Cc = Cm + 1
- 3.2 Case 2: Cc = Cm
- 3.3 Case 3: Cc = Cm - 1
- 3.4 Algorithm for Threshold Graphs
- 4 An Algorithm for Bipartite Chain Graphs
- References
- Grammar-Based Compression of Unranked Trees
- 1 Introduction
- 2 Straight-Line Programs over Algebras
- 3 Forest Algebras and Forest Straight-Line Programs
- 4 Cluster Algebras and Top Dags
- 5 Relative Succinctness
- 6 Testing Equality Modulo Associativity and Commutativity
- 6.1 Associative Symbols
- 6.2 Commutative Symbols
- 7 Future Work
- References
- Complement for Two-Way Alternating Automata
- 1 Introduction
- 2 Two-Way Alternating Automata, Preliminaries
- 3 Deterministic Machines with Linear Space
- 4 Two-Way Alternating Automata, Complemented
- 5 Concluding Remarks
- References
- Closure Under Reversal of Languages over Infinite Alphabets
- 1 Introduction
- 2 Weak Pebble Automata
- 3 Proof of Theorem1
- 4 Removing the Distinguished Separator Symbol $
- 5 Concluding Remark
- References
- Structural Parameterizations of Dominating Set Variants
- 1 Introduction
- 1.1 Motivation
- 1.2 Definitions, Our Results and Organization of the Paper
- 2 Preliminaries and Notations
- 3 Related Work
- 4 Dominating Set Variants Parameterized by CVD Size
- 4.1 Upper Bounds
- 4.2 Lower Bounds
- 5 Dominating Set Variants Parameterized by SVD Size
- 5.1 EDS and IDS Parameterized by SVD Size
- 5.2 Lower Bounds for IDS and EDS
- 5.3 Improved Algorithm for EDS-SVD
- 6 Concluding Remarks
- References
- Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing
- 1 Introduction
- 2 Hardness of Scheduling Parallel Tasks
- 3 Hardness of Strip Packing
- References
- Operations on Boolean and Alternating Finite Automata
- 1 Introduction
- 2 Preliminaries
- 3 Operations on Boolean and Alternating Automata
- 4 Conclusions
- References
- Conflict Free Version of Covering Problems on Graphs: Classical and Parameterized
- 1 Introduction
- 2 Conflict Free Version of Properties with Forbidden Set Characterizations
- 2.1 Properties with Finite Forbidden Set Characterizations
- 2.2 Properties that Do Not Admit Finite Forbidden Characterization
- 2.3 Results on Properties Without Finite Forbidden Characterization
- 3 Well Studied Special Cases of CF-FINITE -VD
- 3.1 CONFLICT FREE VERTEX COVER
- 4 Conclusion
- References
- Quadratically Tight Relations for Randomized Query Complexity
- 1 Introduction
- 2 Preliminaries
- 3 Expectational Certificate Complexity
- 3.1 Quadratic Upper Bound on Randomized Query Complexity
- 3.2 Relation with the Fractional Certificate Complexity
- 3.3 Relation with the Certificate Complexity
- 4 Minimum Query Corruption Bound and Partition Bound
- 4.1 Upper Bound in Terms of the Corruption Bound and Block Sensitivity
- 4.2 Quadratic Upper Bound in Terms of the Partition Bound
- 4.3 Quadratic Upper Bound in Terms of the Corruption Bound
- 5 Open Problems
- References
- On Vertex Coloring Without Monochromatic Triangles
- 1 Introduction
- 1.1 Related Work
- 1.2 Our Contribution
- 1.3 Structure of the Paper
- 2 Problems
- 3 Bounds on the Triangle-Free Chromatic Number
- 3.1 Gadgets
- 4 Tractable Classes of Graphs
- 4.1 Graphs with Bounded Chromatic Number
- 4.2 FPT Results
- 5 Hardness Results
- 6 Conclusions and Future Work
- References
- Recognizing Read-Once Functions from Depth-Three Formulas
- 1 Introduction
- 2 Preliminaries
- 3 Proof of Theorem2
- 4 Proof of Theorem3
- A Proof of Lemma3
- B Proof of Lemma4
- C Proof of Lemma5
- References
- MAX-CUT ABOVE SPANNING TREE is Fixed-Parameter Tractable
- 1 Introduction
- 2 Preliminaries and Structural Results
- 3 FPT Algorithm for Max-Cut Above Spanning Tree
- 4 Polynomial Kernel for Max-Cut-AST
- References
- Slopes of 3-Dimensional Subshifts of Finite Type
- 1 Definitions and Properties
- 1.1 Subshifts and Tilesets
- 1.2 Periodicity and Aperiodicity
- 1.3 Arithmetical Hierarchy
- 2 Proof of Theorem 1
- 2.1 Every Slope theta of Is Accepted by M
- 2.2 Accepting Inputs of M Are Slopes of XM
- 3 Open Problems
- References
- Facility Location on Planar Graphs with Unreliable Links
- 1 Introduction
- 2 An FPT Algorithm for R=1 Under LRO Model
- 2.1 Dynamic Programming Formulation for Bounded Treewidth
- 2.2 Recursive Formulation at the Nodes of H
- 3 A PTAS for MAX-EXP-COVER-1 on planar graphs
- References
- On the Decision Trees with Symmetries
- 1 Introduction
- 2 Preliminaries
- 3 Polynomial Upper Bounds on SDT
- 4 Symmetries in a Plain Decision Tree
- 5 Complexity of PHPnn+1
- 5.1 Game Interpretation
- 5.2 Construction of Non-isomorphic Winning Sets
- 5.3 Naive Invariant
- 5.4 More Complicated Invariant
- 5.5 An Upper Bound for the Size of SDT for PHPnn+1
- References
- On Emptiness and Membership Problems for Set Automata
- 1 Introduction
- 2 The Definitions
- 3 Computational Complexity of the Emptiness Problem
- 3.1 Successful Automata Runs on a Protocol
- 3.2 Proof of Lemma 5
- 4 The Membership Problem for SA
- References
- On Strong NP-Completeness of Rational Problems
- 1 Introduction
- 2 Background
- 3 Prime Suspects
- 4 In the Pursuit of Satisfaction
- 5 Being Rational Makes You Stronger
- 6 Approximability
- 7 Conclusions
- References
- A New Algorithm for Finding Closest Pair of Vectors (Extended Abstract)
- 1 Introduction
- 1.1 Our Approach
- 1.2 Our Results
- 1.3 Related Work
- 1.4 Full Version of the Paper
- References
- Author Index
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