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Numerical Methods Using Java : For Data Science, Analysis, and Engineering, P...

Description: Numerical Methods Using Java : For Data Science, Analysis, and Engineering, Paperback by Li, Haksun, ISBN 1484267966, ISBN-13 9781484267967, Brand New, Free shipping in the US Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for ’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 libraryLearn the mathematics for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionBuild solvers for industrial optimization problemsDo data analysis using basic and advanced statisticsWho This Book Is For  Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java. 

Price: 49.22 USD

Location: Jessup, Maryland

End Time: 2024-12-03T07:06:44.000Z

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Numerical Methods Using Java : For Data Science, Analysis, and Engineering, P...

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Book Title: Numerical Methods Using Java : For Data Science, Analysis, and En

Number of Pages: Xiv, 1186 Pages

Publication Name: Numerical Methods Using Java : for Data Science, Analysis, and Engineering

Language: English

Publisher: Apress L. P.

Subject: Programming Languages / General, Probability & Statistics / General, General, Databases / General

Publication Year: 2022

Type: Textbook

Item Weight: 87.1 Oz

Item Length: 10 in

Subject Area: Mathematics, Computers

Author: Haksun Li

Item Width: 7 in

Format: Trade Paperback

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