Название: Numerical Methods Using Java: For Data Science, Analysis, and EngineeringАвтор: Haksun Li, PhD
Издательство: Apress
Год: 2022
Страниц: 1196
Язык: английский
Формат: pdf (true)
Размер: 27.8 MB
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.
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