Alexander S. Kulikov – författare
Computer Science – Theory and Applications
17th International Computer Science Symposium in Russia, CSR 2022, Virtual Event, June 29 – July 1, 2022, Proceedings
837 kr
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1 022 kr
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Combinatorial Pattern Matching
25th Annual Symposium, CPM 2014, Moscow, Russia, June 16-18, 2014. Proceedings
544 kr
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687 kr
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Computer Science – Theory and Applications
11th International Computer Science Symposium in Russia, CSR 2016, St. Petersburg, Russia, June 9-13, 2016, Proceedings
544 kr
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687 kr
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This book constitutes the proceedings of the 11th International Computer Science Symposium in Russia, CSR 2016, held in St. Petersburg, Russia, in June 2016.
The 28 full papers presented in this volume were carefully reviewed and selected from 71 submissions. In addition the book contains 4 invited lectures. The scope of the proposed topics is quite broad and covers a wide range of areas such as: include, but are not limited to: algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics in computer science; formal languages and automata; computational models and concepts; algorithms for concurrent and distributed systems, networks; proof theory and applications of logic to computer science; model checking; automated reasoning; and deductive methods.
Experimental Algorithms
15th International Symposium, SEA 2016, St. Petersburg, Russia, June 5-8, 2016, Proceedings
544 kr
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693 kr
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This book constitutes the refereed proceedings of the 15th International Symposium on Experimental Algorithms, SEA 2016, held in St. Petersburg, Russia, in June 2016.
The 25 revised full papers presented were carefully reviewed and selected from 54 submissions. The main theme of the symposium is the role of experimentation and of algorithm engineering techniques in the design and evaluation of algorithms and data structures. SEA covers a wide range of topics in experimental algorithmics, bringing together researchers from algorithm engineering, mathematical programming, and combinatorial optimization communities.