Numerical Methods Using Java : For Data Science, Analysis, and Engineering / Haksun Li.
2022
QA76.73.J38 L52 2022eb
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Online Access
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Unlimited
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Authorized users
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Details
Title
Numerical Methods Using Java : For Data Science, Analysis, and Engineering / Haksun Li.
Author
Li, Haksun.
ISBN
1484267974 (electronic book)
9781484267974 (electronic bk.)
1484267966
9781484267967
9781484267974 (electronic bk.)
1484267966
9781484267967
Published
New York, NY : Apress, [2022]
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-1-4842-6797-4 doi
Call Number
QA76.73.J38 L52 2022eb
Dewey Decimal Classification
005.13/3
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from digital title page (viewed on January 26, 2022).
Available in Other Form
Print version: 9781484267967
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Online Access
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Table of Contents
1: Introduction to Numerical Methods in Java
2: Linear Algebra
3: Finding Roots of Equations
4: Finding Roots of Systems of Equations
5: Curve Fitting and Interpolation
6: Numerical Differentiation and Integration
7: Ordinary Differential Equations
8: Partial Differential Equations
9: Unconstrained Optimization
10: Constrained Optimization
11: Heuristics
12: Basic Statistics
13: Random Numbers and Simulation
14: Linear Regression
15: Time Series Analysis
References.
2: Linear Algebra
3: Finding Roots of Equations
4: Finding Roots of Systems of Equations
5: Curve Fitting and Interpolation
6: Numerical Differentiation and Integration
7: Ordinary Differential Equations
8: Partial Differential Equations
9: Unconstrained Optimization
10: Constrained Optimization
11: Heuristics
12: Basic Statistics
13: Random Numbers and Simulation
14: Linear Regression
15: Time Series Analysis
References.