| 書目名稱 | Mathematical Modeling | | 編輯 | Stefan Heinz | | 視頻video | http://file.papertrans.cn/627/626292/626292.mp4 | | 概述 | Covers the complete range of analytical and simulation modeling, spanning deterministic and stochastic methodologies.Demonstrating how complete solutions for modeling problems can be obtained.Offers h | | 圖書封面 |  | | 描述 | .The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, chemistry, and physics. This textbook gives an overview of the spectrum of modeling techniques, deterministic and stochastic methods, and first-principle and empirical solutions..Complete range.: The text continuously covers the complete range of basic modeling techniques: it provides a consistent transition from simple algebraic analysis methods to simulation methods used for research. Such an overview of the spectrum of modeling techniques is very helpful for the understanding of how a research problem considered can be appropriately addressed..Complete methods.: Real-world processes always involve uncertainty, and the consideration of randomness is often relevant. Many students know deterministic methods, but they do hardly have access to stochastic methods, which are described in advanced textbooks on probability theory. The book develops consistently both deterministic and stochastic methods. In particular, it shows how deterministic methods are generalized by stochastic methods..Co | | 出版日期 | Textbook 2011 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-20311-4 | | isbn_softcover | 978-3-642-44388-6 | | isbn_ebook | 978-3-642-20311-4 | | copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2011 |
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