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Titlebook: Advances in Applied Mathematics, Modeling, and Computational Science; Roderick Melnik,Ilias S. Kotsireas Book 2013 Springer Science+Busine

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期刊全称Advances in Applied Mathematics, Modeling, and Computational Science
影响因子2023Roderick Melnik,Ilias S. Kotsireas
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发行地址Provides state-of-the-art original works and surveys on several key areas in applied mathematics.Combines rigorous mathematical procedures and important examples from applications.With its many exampl
学科分类Fields Institute Communications
图书封面Titlebook: Advances in Applied Mathematics, Modeling, and Computational Science;  Roderick Melnik,Ilias S. Kotsireas Book 2013 Springer Science+Busine
影响因子.The volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science. These three areas represent the foundation upon which the methodology of mathematical modeling and computational experiment is built as a ubiquitous tool in all areas of mathematical applications. This book covers both fundamental and applied research, ranging from studies of elliptic curves over finite fields with their applications to cryptography, to dynamic blocking problems, to random matrix theory with its innovative applications. The book provides the reader with state-of-the-art achievements in the development and application of new theories at the interface of applied mathematics, modeling, and computational science..This book aims at fostering interdisciplinary collaborations required to meet the modern challenges of applied mathematics, modeling, and computational science. At the same time, the contributions combine rigorous mathematical and computational procedures and examples from applications ranging from engineering to life sciences, providing a rich
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The Lighthouse Model. Many Coupled Neuronstic questions and whose solutions require rather involved techniques from various area of number theory. Some of these questions are of intrinsic value for the theory of elliptic curves; they stem from their application to cryptography.
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https://doi.org/10.1007/978-1-4614-5389-5computational science; dynamic blocking problems; elliptic curves; mathematical modeling; random matrix
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