Numerical Methods Using Java For Data Science, Analysis, and Engineering – PDF/EPUB Version Downloadable

$49.99

Author(s): Haksun Li PhD
Publisher: Apress
ISBN: 9781484267967
Edition:

Important: No Access Code

Delivery: This can be downloaded Immediately after purchasing.

Version: Only PDF Version.

Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)

Quality: High Quality. No missing contents. Printable

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Description

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 with prior experience with programming in any language, especially Java.Â