Numerical methods using Java : for data science, analysis, and engineering (Record no. 31013)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220607b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484267967
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number LIH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Li, Haksun
245 ## - TITLE STATEMENT
Title Numerical methods using Java : for data science, analysis, and engineering
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc APress,
Date of publication, distribution, etc 2022
Place of publication, distribution, etc New York :
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 1186 p. ;
Other physical details ill.,
Dimensions 26 cm
365 ## - TRADE PRICE
Price amount 37.99
Price type code EUR
Unit of pricing 86.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer program language
Topical term or geographic name as entry element Electronic computers
Topical term or geographic name as entry element Data Science
Topical term or geographic name as entry element Java
Topical term or geographic name as entry element Programming Mathematics
Topical term or geographic name as entry element Linear algebra
Topical term or geographic name as entry element Root finding
Topical term or geographic name as entry element Curve fitting
Topical term or geographic name as entry element Diffentiation, integration
Topical term or geographic name as entry element Random numbers,simulation
Topical term or geographic name as entry element Regression
Topical term or geographic name as entry element Series analysis
Topical term or geographic name as entry element Beta distribution
Topical term or geographic name as entry element Brent's method
Topical term or geographic name as entry element Central difference method
Topical term or geographic name as entry element Discrete probability- distribution
Topical term or geographic name as entry element Discrete-time Markov Chain (DTMC)
Topical term or geographic name as entry element Buler's method
Topical term or geographic name as entry element Gaussian distribution
Topical term or geographic name as entry element Halley's methd
Topical term or geographic name as entry element Hypothesis testing
Topical term or geographic name as entry element Jacobian matrix
Topical term or geographic name as entry element Kolmogorov-Smirnov test
Topical term or geographic name as entry element Multivariate real-valued function
Topical term or geographic name as entry element Newton-Raphson method
Topical term or geographic name as entry element Ordinary differential equation (ODE)
Topical term or geographic name as entry element Politis-White- Patton method
Topical term or geographic name as entry element Taylor expansion
Topical term or geographic name as entry element Van der Waerden test
Topical term or geographic name as entry element VARIMA model
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-06-02 3267.14 005.133 LIH 033055 2022-06-07 Books

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