“…Classes of Directed Graphs provides a valuable reference for graduate students and researchers in computer science, mathematics and operations research. …”
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“…It will also be of interest to researchers in mathematics, computer science, and related fields.…”
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“…This book will be of interest to researchers in lattice path combinatorics and enumerative combinatorics including subsets of researchers in mathematics, statistics, operations research, and computer science. The applications of the material covered in this Work extend beyond the primary audience to scholars interested in queueing theory, graph theory, rook theory, tilings, partitions, distributions, Markov processes, and more.…”
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“…This text is ideal for undergraduates majoring in engineering, physics, chemistry, computer science, or applied mathematics. It is mostly self-contained—readers should only be familiar with elementary calculus. …”
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“…Students and researchers with engineering, physics, mathematics, or computer science backgrounds will benefit from this book. …”
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“…It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.…”
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“…The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, random graphs, information theory and convex geometry. …”
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“…Having no prerequisites beyond precalculus and an interest in abstract reasoning, the book is suitable for students of math education, computer science or physics who are looking for an easy-going entry into discrete mathematics, induction and recursion, groups and symmetry, and plane geometry. …”
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“…Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. …”
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“…Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. …”
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“…Suitable for researchers and graduate students in mathematics and computer science, this self-contained book is one of the first to focus on many topics in cryptography involving algebraic curves. …”
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“…We intend to show the development of this open educational project through the eyes of the researchers, developers, professors and students, and communicators that designed, constructed, deployed, tested and consolidated the dataset and a series of tools for teaching High Energy Physics (HEP) and its related Computer Science to students worldwide. The ATLAS Open Data project puts in evidence the necessity of multidisciplinary and multicultural teams. …”
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“…The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest. .…”
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“…The book is aimed at researchers and graduate students in mathematics or theoretical computer science.…”
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“…In view of its emphasis on applicable and computational aspects, it is also useful for readers working in information and communication engineering, for instance, in signal processing, coding theory, cryptography or computer science.…”
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“…An authoritative, self-contained, and inspiring read on the theory and modern applications of fuzzy graphs, this book is of value to advanced undergraduate and graduate students of mathematics, engineering, and computer science, as well as researchers interested in new developments in fuzzy logic and applied mathematics.…”
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“…Tiling problems establish a bridge between the mutually influential fields of geometry, dynamical systems, aperiodic order, computer science, number theory, algebra and logic. The main properties of tiling dynamical systems are covered, with expositions on recent results in self-similarity (and its generalizations, fusions rules and S-adic systems), algebraic developments connected to physics, games and undecidability questions, and the spectrum of substitution tilings.…”
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“…Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. …”
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“…&nbsp;Stephane has a degree in Electronics Engineering and an MSc in Computer Science.</p> …”
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“…&nbsp;Stephane has a degree in Electronics Engineering and an MSc in Computer Science.</p>…”
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