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Algorithms with JULIA : Optimization, Machine Learning, and Differential Equations Using the JULIA Language / by Clemens Heitzinger
版 | 1st ed. 2022. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2022 |
本文言語 | 英語 |
大きさ | XXI, 439 p. 15 illus., 13 illus. in color : online resource |
著者標目 | *Heitzinger, Clemens author SpringerLink (Online service) |
件 名 | LCSH:Numerical analysis LCSH:Mathematical analysis FREE:Numerical Analysis FREE:Analysis FREE:Analysis |
一般注記 | An Introduction to the Julia Language -- Functions -- Variables, Constants, Scopes, and Modules -- Built-in Data Structures -- User Defined Data Structures and the Type System -- Control Flow -- Macros -- Arrays and Linear Algebra -- Ordinary Differential Equations -- Partial-Differential Equations -- Global Optimization -- Local Optimization -- Neural Networks -- Bayesian Estimation This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation). JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system. Aimed at students ofapplied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming HTTP:URL=https://doi.org/10.1007/978-3-031-16560-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783031165603 |
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EB00237126 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA297-299.4 DC23:518 |
書誌ID | 4000986083 |
ISBN | 9783031165603 |