Numerical Methods Using Java : For Data Science, Analysis, and Engineering - Haksun Li

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Numerical Methods Using Java

For Data Science, Analysis, and Engineering

By: Haksun Li

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Paperback | 6 January 2022

At a Glance

Paperback
1186 Pages

Dimensions(cm)
25.4 x 17.8

Paperback

$125.75

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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.

Industry Reviews

"The book is primarily a user's guide to the NM DEV commercial software library ... ." (Anthony J. Duben, Computing Reviews, December 6, 2022)

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