Dynamics, Geometry and Combinatorics. This workshop brings together dynamicists who use techniques from, and are motivated by, combinatorics, geometry, and number theory. The topics cover a broad swath of dynamics, including ergodic theory, homogeneous dynamics, symbolic dynamics, Teichmuller theory, and billiards, and the aim of the workshop is to highlight the common features across these subjects. Part of the Semester : Dynamics with Structures.
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The thirteenth edition of the TextGraphs workshop aims to extend the focus on graph-based and graph-supported machine learning and deep learning methods. We encourage the description of novel NLP problems or applications that have emerged in recent years, which can be addressed with existing and new graph-based methods.
Natural Language Processing, Computational Linguistics. AIM Workshop: Rigidity and flexibility of microstructures.
This workshop, sponsored by AIM and the NSF, will be devoted to problems in combinatorial and geometric rigidity theory arising from modeling of microstructures. The overall goal of this workshop is to formalize and start working on a graded set of problems arising from the applications, framed by specific focus topics on flexibility, tunnelling, stresses and periodicity, while connecting them with existing techniques and already formulated open problems.
Kolkom — 38th Colloquium on Combinatorics. Triangle Lectures in Combinatorics. These are a series of combinatorial workshops, held once per semester, each on a Saturday. The series began with its first meeting in spring They rotate among the universities in and around the Research Triangle.
Participants come from numerous colleges and universities within a few hours drive, and some from even farther away. These workshops are funded by the National Science Foundation, in particular enabling us to bring in four exciting speakers to give one hour talks each time as well as funding travel expenses for participants.
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It also provides a premier interdisciplinary platform for researchers to present and discuss the most recent innovations as well as practical challenges encountered in the field of Graph Theory. In the proposed conference, we have planned to conduct a symposium on graph decompositions. Graph decompositions have a wide variety of applications such as computer architecture, designing reliable communication networks.
Hypercubes, Butterfly network, and de Bruijn network are proved to be good interconnection networks.
Probabilistic Combinatorial Optimization on Graphs - ISTE
Original research papers in the areas of algebra mathematics, algorithms, theory of computation, computational complexity, and combinatorics related to computing are solicited. In addition to theoretical results, we are particularly interested in submissions that report on experimental and applied research of general algorithmic interest. Special consideration will be given to research that is motivated by real-world problems.
A2C — Algebra, Codes and Cryptography. Cryptography, Blockchain and Information Security. The conference covers all areas of combinatorics in mathematics and computer science. On the one hand, preprocessing rules have been derived, on the other hand heuristics and lower bounds have been the topic of research. The preprocessing rules have been applied to probabilistic networks, that originate from medicine.
The rules typically result in substantial reductions of the problem size, which relieves the construction of a tree decomposition substantially. Some instances can be solved this way. To solve frequency assignment problems, we already developed a first heuristic and a lower bound on the treewidth. However, application of them did not result to satisfactory results in all cases.
Therefore, we developed other heuristics that use the connection between treewidth and the triangulation of a graph. The heuristics have been compared at instances of different applications frequency assignment, graph coloring, and probabilistic networks.
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Unfortunately, the results are still not satisfactory in all cases. To evaluate the quality of the heuristics, lower bound on the treewidth are necessary. Within the project, we have developed several methods to compute such bounds. Moreover, within the project the concept of weighted treewidth has been introduced. It allows for a more precise approximation of the running time of algorithms based on a tree decomposition of the graph.
We generalized the preprocessing rules for treewidth to weighted treewidth. Skip to main content.
Impressum und Datenschutz. English Deutsch. Treewidth and Combinatorial Optimization. Treewidth and Combinatorial Optimization Many combinatorial optimization problems take a graph as part of the input. Treewidth and Combinatorial Optimization pdf, in German. Research focus area:. Research group:. Mathematics of Transportation and Logistics.
Combinatorics and Optimization
About this book This title provides a comprehensive survey over the subject of probabilistic combinatorial optimization, discussing probabilistic versions of some of the most paradigmatic combinatorial problems on graphs, such as the maximum independent set, the minimum vertex covering, the longest path and the minimum coloring.
Her research interests include combinatorial and probabilistic combinatorial optimization, the design and analysis of efficient algorithms and the design of efficient solutions for hard combinatorial optimization problems. She is the author of over 20 research papers.
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