The first meetings in , , and were well received both by mathematicians and by computer science researchers, and were followed by a continuously increasing cooperation between both communities. On the one hand, mathematicians found a new source of difficult and interesting questions in the analysis of models for Computer Science. On the other hand, the analysis of algorithms and data structures experienced significant developments with the use of existing tools and methods in probability, statistics and combinatorics, and with the development of new ones.
With the organization of the Colloquium, we hope we made further progress towards establishing a regular meeting place for discussion of topics at the boundary between probabilities, statistics, and fundamental computer science.
Papers were sought in a wide spectrum of areas, for instance random trees, stochastic processes, large deviations, branching processes, random walks, discrete probabilities, analytical and enumerative combinatorics, analysis of algorithms and data structures, performance evaluation, random generation of combinatorial structures, and statistics. A large Program Committee, guaranteeing wide coverage of subtopics and expertise in a variety of fields, selected 27 papers for a presentation as minutes talks and 10 other papers were selected for a presentation as posters.
The invited speakers were free to propose a paper, and that resulted in 4 important contributions to this volume.
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Discrete Mathematics | Udemy
For Instructors Request Inspection Copy. Such a course is typically taken by mathematics, mathematics education, and computer science majors, usually in their sophomore year. Calculus is not a prerequisite to use this book. Part one focuses on how to write proofs, then moves on to topics in number theory, employing set theory in the process.
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Part two focuses on computations, combinatorics, graph theory, trees, and algorithms. You will be prompted to fill out a registration form which will be verified by one of our sales reps.
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