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While teaching Java programming at Minnesota State University, the authors noticed that engineering students were enrolling in Java programming courses in order to obtain basic programming skills, but there were no Java books suitable for courses intended for engineers. They realized the need for a comprehensive Java programming tutorial that offer
This text serves as an introduction to the programming language Java for scientists and engineers, as well as experienced programmers wishing to learn Java as an additional language. The authors have specifically taken a hands-on approach to get the reader writing and running programs immediately. In addition, the book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems.
Featuring practical, engineering-oriented examples and applications, this text teaches the fundamentals of Java with a gradual refinement of programming skills from a procedural to an object orientation. Part One presents procedural programming with an emphasis on modular program design and helps readers understand the importance of writing programs that can be easily modified and maintained. Part Two on object-oriented programming and Part Three on data structures are interchangeable for teaching flexibility. Problem solving techniques, software engineering and completed applications are emphasized throughout.
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.
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.
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.
Specialisation in software has become a thing of the past. With the move towards graphical user interface programming, engineers must have a sound knowledge of several programming languages and for the first time most of the main technical languages are introduced in a single volume.All the example programs included relate to real life applications to provide a long needed reference that students will find invaluable throughout their studies, and a definitive guide for professional developers requiring an insight into other languages. Using C++ and Pascal to provide a basic grounding in software development the author then goes on to introduce more advanced concepts such as object-orientated design through the development of C++. Sections on Visual Basic and 80X86 Assembly Language follow before Java, Windows, NT and DOS are introduced, finishing with an overview of the UNIX system.
Building on his highly successful textbook on C++, David Yevick provides a concise yet comprehensive one-stop course in three key programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software, this book presents a unique overview of numerical and programming techniques, including object-oriented programming, elementary and advanced topics in numerical analysis, physical system modelling, scientific graphics, software engineering and performance issues. Compact, transparent code in all three programming languages is applied to the fundamental equations of quantum mechanics, electromagnetics, mechanics and statistical mechanics. Uncommented versions of the code that can be immediately modified and adapted are provided online for the more involved programs. This compact, practical text is an invaluable introduction for students in all undergraduate- and graduate-level courses in the physical sciences or engineering that require numerical modelling, and also a key reference for instructors and scientific programmers.
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
Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards