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Titlebook: Concise Guide to Numerical Algorithmics; The Foundations and John Lawrence Nazareth Book 2023 The Editor(s) (if applicable) and The Author

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樓主
發(fā)表于 2025-3-21 18:14:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Concise Guide to Numerical Algorithmics
副標(biāo)題The Foundations and
編輯John Lawrence Nazareth
視頻videohttp://file.papertrans.cn/236/235108/235108.mp4
概述Lays the groundwork for an emerging sub-discipline of computer science.Accessible to advanced undergraduates and beyond, including practitioners.Provides a blueprint for an introductory course in nume
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Concise Guide to Numerical Algorithmics; The Foundations and  John Lawrence Nazareth Book 2023 The Editor(s) (if applicable) and The Author
描述.Numerical Algorithmic Science and Engineering (NAS&E), or more compactly, .Numerical. .Algorithmics., is the theoretical and empirical study and the practical implementation and application of algorithms for solving .finite-dimensional .problems of a .numeric. nature. The variables of such problems are either .discrete-valued., or .continuous over the reals., or, and as is often the case, a .combination. of the two, and they may or may not have an underlying network/graph structure. This re-emerging discipline of numerical algorithmics within computer science is the counterpart of the now well-established discipline of numerical analysis within mathematics, where the latter’s emphasis is on infinite-dimensional, continuous numerical problems and their finite-dimensional, continuous approximates...A discussion of the underlying rationale for numerical algorithmics, its foundational models of computation, its organizational details, and its role, in conjunction with numerical analysis, in support of the modern modus operandi of scientific computing, or computational science & engineering, is the primary focus of this short monograph.? It comprises six chapters, each with its own bib
出版日期Book 2023
關(guān)鍵詞Computer science; Numerical algorithms; Algorithmic science; Algorithmic engineering; Scientific computi
版次1
doihttps://doi.org/10.1007/978-3-031-21762-3
isbn_softcover978-3-031-21761-6
isbn_ebook978-3-031-21762-3Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:25:55 | 只看該作者
Number: The Language of Science,ntary. This is the topic of the present chapter. It begins with a discussion of symbolization in human language and then proceeds to the symbolization of number. Mathematicians have developed a proper understanding of the latter and of resulting . only quite recently during the past four centuries.?
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Numerical Analysis: Algorithm Under the Rubric of Number,pplied. Its theoretical foundation is provided by the landmark Blum-Cucker-Shub-Smale (BCSS) model of computation. And its practical foundations are based on the IEEE 754, finite-precision, floating-point standardization and the more recently proposed Chebfun model.
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發(fā)表于 2025-3-22 16:31:33 | 只看該作者
Numerical Algorithmics: Number Under the Rubric of Algorithm,ring (NAS&E), or more compactly, numerical algorithmics?within computer science. Real-number models of computation in the Turing tradition, which form the theoretical foundation for this?discipline, are then briefly surveyed. Next, the practical foundations for numerical algorithmics are described,
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Book 2023s of computation, its organizational details, and its role, in conjunction with numerical analysis, in support of the modern modus operandi of scientific computing, or computational science & engineering, is the primary focus of this short monograph.? It comprises six chapters, each with its own bib
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