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A Numerical Library in Java for Scientists and Engineers

A Numerical Library in Java for Scientists and Engineers
Author: Hang T. Lau
Publisher: CRC Press
Total Pages: 1088
Release: 2003-08-27
Genre: Mathematics
ISBN: 1135437386

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At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60). This groundbreaking text presents procedural descriptions for linear algebra, ordinary and partial differential equations, optimization, parameter estimation, mathematical physics, and other tools that are indispensable to any dynamic research group. The book offers test programs that allow researchers to execute the examples provided; users are free to construct their own tests and apply the numeric procedures to them in order to observe a successful computation or simulate failure. The entry for each procedure is logically presented, with name, usage parameters, and Java code included. This handbook serves as a powerful research tool, enabling the performance of critical computations in Java. It stands as a cost-efficient alternative to expensive commercial software package of procedural components.


A Numerical Library in Java for Scientists and Engineers

A Numerical Library in Java for Scientists and Engineers
Author: Hang T. Lau
Publisher: Chapman and Hall/CRC
Total Pages: 1088
Release: 2003-08-27
Genre: Mathematics
ISBN: 9781584884309

Download A Numerical Library in Java for Scientists and Engineers Book in PDF, ePub and Kindle

At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60). This groundbreaking text presents procedural descriptions for linear algebra, ordinary and partial differential equations, optimization, parameter estimation, mathematical physics, and other tools that are indispensable to any dynamic research group. The book offers test programs that allow researchers to execute the examples provided; users are free to construct their own tests and apply the numeric procedures to them in order to observe a successful computation or simulate failure. The entry for each procedure is logically presented, with name, usage parameters, and Java code included. This handbook serves as a powerful research tool, enabling the performance of critical computations in Java. It stands as a cost-efficient alternative to expensive commercial software package of procedural components.


A Numerical Library in Java for Scientists and Engineers

A Numerical Library in Java for Scientists and Engineers
Author: Hang T. Lau
Publisher: CRC Press
Total Pages: 1094
Release: 2003-08-27
Genre: Mathematics
ISBN: 9781584884309

Download A Numerical Library in Java for Scientists and Engineers Book in PDF, ePub and Kindle

At last researchers have an inexpensive library of Java-based numeric procedures for use in scientific computation. The first and only book of its kind, A Numeric Library in Java for Scientists and Engineers is a translation into Java of the library NUMAL (NUMerical procedures in ALgol 60). This groundbreaking text presents procedural descriptions for linear algebra, ordinary and partial differential equations, optimization, parameter estimation, mathematical physics, and other tools that are indispensable to any dynamic research group. The book offers test programs that allow researchers to execute the examples provided; users are free to construct their own tests and apply the numeric procedures to them in order to observe a successful computation or simulate failure. The entry for each procedure is logically presented, with name, usage parameters, and Java code included. This handbook serves as a powerful research tool, enabling the performance of critical computations in Java. It stands as a cost-efficient alternative to expensive commercial software package of procedural components.


Numerical Methods Using Java

Numerical Methods Using Java
Author: Haksun Li
Publisher: Apress
Total Pages:
Release: 2021-06-17
Genre: Computers
ISBN: 9781484267967

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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.


Introductory Java for Scientists and Engineers

Introductory Java for Scientists and Engineers
Author: Richard J. Davies
Publisher: Addison Wesley Publishing Company
Total Pages: 322
Release: 1999
Genre: Computers
ISBN:

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Java is currently enjoying immense success and is taught in hundreds of universities around the world. It is a modern, portable, object-oriented language and before long, it could also be the language of choice for many science and engineering students. Introductory Java for Scientists and Engineers provides an extremely accessible and thorough introduction to Java for science and engineering students. It takes the reader gradually through the language features, standard libraries and object orientation before moving on to discuss a scientific graphics library and a numerical library for Java. All the examples perform the kind of computations that will be of interest to a scientific programmer.


Numerical Methods Using Java

Numerical Methods Using Java
Author: PhD Li (Haksun)
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9781484285275

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Implement numerical algorithms in Java using the 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. You will: 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.


ESSENTIAL JAVA FOR SCIENTISTS AND ENGINEERS

ESSENTIAL JAVA FOR SCIENTISTS AND ENGINEERS
Author: Brian H. Hahn
Publisher: Butterworth-Heinemann
Total Pages: 355
Release: 2002-05-30
Genre: Computers
ISBN: 0080545726

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ESSENTIAL JAVA FOR SCIENTISTS AND ENGINEERS


Scientific Computing

Scientific Computing
Author: Michael T. Heath
Publisher: SIAM
Total Pages: 567
Release: 2018-11-14
Genre: Science
ISBN: 1611975573

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This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.


Data Science with Java

Data Science with Java
Author: Michael R. Brzustowicz, PhD
Publisher: "O'Reilly Media, Inc."
Total Pages: 241
Release: 2017-06-06
Genre: Computers
ISBN: 1491934069

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Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java. You’ll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you’ll find code examples you can use in your applications. Examine methods for obtaining, cleaning, and arranging data into its purest form Understand the matrix structure that your data should take Learn basic concepts for testing the origin and validity of data Transform your data into stable and usable numerical values Understand supervised and unsupervised learning algorithms, and methods for evaluating their success Get up and running with MapReduce, using customized components suitable for data science algorithms


Object Oriented Methods for Interoperable Scientific and Engineering Computing

Object Oriented Methods for Interoperable Scientific and Engineering Computing
Author: Michael E. Henderson
Publisher: SIAM
Total Pages: 340
Release: 1999-01-01
Genre: Technology & Engineering
ISBN: 9780898714456

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Contains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.