書目名稱 | Numerical Methods Using Java | 副標題 | For Data Science, An | 編輯 | Haksun Li, PhD | 視頻video | http://file.papertrans.cn/670/669037/669037.mp4 | 概述 | The first contemporary book on numerical methods using Java.A practical book with applications and examples found in data science, analysis, and engineering.Download source code from https://github.co | 圖書封面 |  | 描述 | .Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes..Numerical Methods Using Java. covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.?..What You Will Learn..Program in Java using a high-performance numerical library.Learn the mathematics for a wide range of numerical computing algorithms.Convert ideas and equations into code.Put together algorithms and classes to build your own engineering solution.Build solvers for industrial optimization problems.Do data analysis using basic and advanced statistics.Who This Book Is For?. .Programmers, data scientists, and analysts wi | 出版日期 | Book 2022 | 關鍵詞 | Java; programming; numerical; computational; algorithms; data; engineering; data science; software; source; co | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-6797-4 | isbn_softcover | 978-1-4842-6796-7 | isbn_ebook | 978-1-4842-6797-4 | copyright | Haksun Li, PhD 2022 |
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