SOFSEM 2023: Theory and Practice of Computer Science

SOFSEM 2023: Theory and Practice of Computer Science

48th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2023, Novy Smokovec, Slovakia, January 15-18, 2023, Proceedings

Gasieniec, Leszek

Springer International Publishing AG

12/2022

402

Mole

Inglês

9783031231001

15 a 20 dias

635

Descrição não disponível.
The Complexity of Finding Tangles.- A spectral algorithm for finding maximum cliques in dense random intersection graphs.- Solving Cut-Problems in Quadratic Time for Graphs With Bounded Treewidth.- More Effort Towards Multiagent Knapsack.- Dominance Drawings for DAGs with Bounded Modular Width.- Morphing Planar Graph Drawings Through 3D.- Visualizing Multispecies Coalescent Trees: Drawing Gene Trees Inside Species Trees.- Parameterized Approaches to Orthogonal Compaction.- Hardness of bounding influence via graph modification.- On the Parameterized Complexity of $s$-club Cluster Deletion Problems.- Balanced Substructures in Bicolored Graphs.- On the Complexity of Scheduling Problems With a Fixed Number of Parallel Identical Machines.- On the 2-Layer Window Width Minimization Problem.- Sequentially Swapping Tokens: Further on Graph Classes.- On the Preservation of Properties when Changing Communication Models.- Introduction to Routing Problems with Mandatory Transitions .- Multi-Parameter Analysis of Finding Minors and Subgraphs in Edge-Periodic Temporal Graphs.- Lower Bounds for Monotone $q$-Multilinear Boolean Circuits.- A faster algorithm for determining the linear feasibility of systems of BTVPI constraints.- Quantum complexity for vector domination problem.- Learning through Imitation by using Formal Verification.- Delivery to Safety with Two Cooperating Robots.- Space-Efficient STR-IC-LCS Computation.- The k-center Problem for Classes of Cyclic Words.
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approximation algorithms;approximation theory;artificial intelligence;combinatorial mathematics;combinatorial optimization;combinatorial problems;computer hardware;computer science;computer systems;directed graphs;engineering;graph g;graph theory;graphic methods;internet;mathematics;optimization;polynomial approximation;signal processing;theoretical computer science