Numerical Methods Using Java : For Data Science, Analysis, and Engineering
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...
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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
New York, NY :
Apress,
[2022]
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Subjects: | |
ISBN: | 1484267974 9781484267974 1484267966 9781484267967 |
Physical Description: | 1 online resource |
LEADER | 03496cam a22004097i 4500 | ||
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035 | |a (OCoLC)1290840612 |z (OCoLC)1290814061 |z (OCoLC)1291318194 | ||
100 | 1 | |a Li, Haksun. | |
245 | 1 | 0 | |a Numerical Methods Using Java : |b For Data Science, Analysis, and Engineering / |c Haksun Li. |
264 | 1 | |a New York, NY : |b Apress, |c [2022] | |
300 | |a 1 online resource | ||
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506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
520 | |a 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. | ||
505 | 0 | |a 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. | |
504 | |a Includes bibliographical references and index. | ||
590 | |a Knovel |b Knovel (All titles) | ||
650 | 0 | |a Java (Computer program language) | |
650 | 0 | |a Computer algorithms. | |
650 | 0 | |a Programming (Mathematics) | |
655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
655 | 9 | |a electronic books |2 eczenas | |
776 | 0 | 8 | |i Print version: |z 1484267966 |z 9781484267967 |w (OCoLC)1223071679 |
856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpNMUJFDS5/numerical-methods-using?kpromoter=marc |y Full text |