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

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: 1088
Release: 2003-08-27
Genre: Mathematics
ISBN: 1135437386

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.

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:

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: Haksun Li
Publisher: Apress
Total Pages:
Release: 2021-06-17
Genre: Computers
ISBN: 9781484267967

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.

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: 9781135437374

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

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.

Technical Java

Technical Java
Author: Grant Palmer
Publisher: Prentice Hall Professional
Total Pages: 500
Release: 2003
Genre: Computers
ISBN: 9780131018150

Annotation This is a technical programming book written by a real scientific programmer filled with practical, real-life technical programming examples that teach how to use Java to develop scientific and engineering programs. The book is for scientists and engineers, those studying to become scientists and engineers, or anyone who might want to use Java to develop technical applications. "Technical Java" gives the reader all the information she needs to use Java to create powerful, versatile, and flexible scientific and engineering applications. The book is full of practical example problems and valuable tips. The book is for people learning Java as their first programming language or for those transitioning to Java from FORTRAN or C. There are two handy chapters at the beginning of the book that explain the differences and similarities between FORTRAN, C, and Java.

Data Analysis

Data Analysis
Author: Siegmund Brandt
Publisher: Springer Science & Business Media
Total Pages: 532
Release: 2014-02-14
Genre: Science
ISBN: 3319037625

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

Interdisciplinary Computing in Java Programming

Interdisciplinary Computing in Java Programming
Author: Sun-Chong Wang
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2012-12-06
Genre: Computers
ISBN: 1461503779

Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation. Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.

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

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