Li, Haksun

Numerical methods using Java : for data science, analysis, and engineering - New York : APress, 2022 - xiv, 1186 p. ; ill., 26 cm

Includes bibliographical references and index.

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.

9781484267967


Computer program language
Electronic computers
Data Science
Java
Programming Mathematics
Linear algebra
Root finding
Curve fitting
Diffentiation, integration
Random numbers,simulation
Regression
Series analysis
Beta distribution
Brent's method
Central difference method
Discrete probability- distribution
Discrete-time Markov Chain (DTMC)
Buler's method
Gaussian distribution
Halley's methd
Hypothesis testing
Jacobian matrix
Kolmogorov-Smirnov test
Multivariate real-valued function
Newton-Raphson method
Ordinary differential equation (ODE)
Politis-White- Patton method
Taylor expansion
Van der Waerden test
VARIMA model

005.133 / LIH

Powered by Koha