LEADER 00000cam a22006017i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    220105s2022    nyu     ob    001 0 eng d 
019    1290814061|a1291318194 
020    1484267974|q(electronic book) 
020    9781484267974|q(electronic bk.) 
024 7  10.1007/978-1-4842-6797-4|2doi 
029 1  AU@|b000070439477 
035    (OCoLC)1290840612|z(OCoLC)1290814061|z(OCoLC)1291318194 
037    9781484267974|bO'Reilly Media 
040    YDX|beng|erda|epn|cYDX|dYDXIT|dOCLCO|dEBLCP|dTOH|dORMDA
       |dGW5XE|dN$T|dAUD|dOCLCO|dOCLCQ|dOCLCO|dK6U|dOCLCQ|dOCLCO
       |dOCLCQ|dOCLCL 
049    INap 
082 04 005.13/3 
082 04 005.13/3|223 
099    eBook O'Reilly for Public Libraries 
100 1  Li, Haksun. 
245 10 Numerical Methods Using Java :|bFor Data Science, Analysis,
       and Engineering /|cHaksun Li.|h[O'Reilly electronic 
       resource] 
264  1 New York, NY :|bApress,|c[2022] 
300    1 online resource 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  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. 
520    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. 
588 0  Online resource; title from digital title page (viewed on 
       January 26, 2022). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Java (Computer program language) 
650  0 Computer algorithms. 
650  0 Programming (Mathematics) 
650  2 Algorithms 
650  6 Java (Langage de programmation) 
650  6 Algorithmes. 
650  6 Programmation (Mathématiques) 
650  7 algorithms.|2aat 
650  7 Computer algorithms|2fast 
650  7 Java (Computer program language)|2fast 
650  7 Programming (Mathematics)|2fast 
776 08 |iPrint version:|z1484267966|z9781484267967
       |w(OCoLC)1223071679 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781484267974/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    ProQuest Ebook Central|bEBLB|nEBL6838759 
938    EBSCOhost|bEBSC|n3133252 
938    YBP Library Services|bYANK|n302660289 
994    92|bJFN