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Titlebook: Numerical Methods Using Java; For Data Science, An Haksun Li, PhD Book 2022 Haksun Li, PhD 2022 Java.programming.numerical.computational.al

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發(fā)表于 2025-3-21 16:20:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Numerical Methods Using Java
副標(biāo)題For Data Science, An
編輯Haksun Li, PhD
視頻videohttp://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Titlebook: Numerical Methods Using Java; For Data Science, An Haksun Li, PhD Book 2022 Haksun Li, PhD 2022 Java.programming.numerical.computational.al
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(guān)鍵詞Java; programming; numerical; computational; algorithms; data; engineering; data science; software; source; co
版次1
doihttps://doi.org/10.1007/978-1-4842-6797-4
isbn_softcover978-1-4842-6796-7
isbn_ebook978-1-4842-6797-4
copyrightHaksun Li, PhD 2022
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沙發(fā)
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Book 2022n 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 equation
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發(fā)表于 2025-3-22 06:44:02 | 只看該作者
Introduction to Numerical Methods in Java,tegy code was developed in R/MATLAB, and the trade/order execution system was in Java. However, making Java talk to R/MATLAB, and vice versa, was a nightmare, and it caused too many other IT nuisances (e.g., multithread safety, multi-instances, debugging, R/MATLAB being very slow, and mysterious who-knows-why-it’s-not-working).
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Constrained Optimization,resource allocation system for a steel manufacturing plant to optimize use of raw materials, machines, and manpower; a route planner to find the best routes to pick up and deliver mails; and a scheduling system to arrange vehicles and their shifts.
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Partial Differential Equations,uations deal with functions with one variable. Partial differential equations are significantly more difficult to solve than ordinary partial differentials because a simple PDE can admit a large class of solutions. For example, for this simple PDE,
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