Programming GPS and OpenStreetMap Applications With Java

JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Jav

Karlof (mathematics, U. of North Carolina at Wilmington) presents a varied selection of papers dealing with theory and applications in integer programming. Ten chapters discuss such topics as construc

Java, an object-oriented language with many standard libraries, offers both complexities and opportunities. This introductory book makes use of a new approach to understanding programming in Java.

Beginning Cryptography with Java While cryptography can still be a controversial topic in the programming community, Java has weathered that storm and provides a rich set of APIs that allow you, the

Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which out

This book gives applications of the theory of process algebra, or Algebra of Communicating Processes (ACP), that is the study of concurrent or communicating processes studied using an algebraic framework. The approach is axiomatic; the authors consider structures that are some set of mostly equational axioms, which are equipped with several operators. Thus the term 'algebra' is used in the model-theoretic sense. The axiomatic approach enables one to organize the field of process theories. The theory is applied systematically to a number of situations, including systolic algorithms, semantics of an object-oriented language, and protocols. It will be welcomed by computer scientists working in parallel programming.

Intended for experienced Java developers, this guide introduces the Spring lightweight framework for building Java applications, and offers advice on aspect-oriented programming, accessing data, manag

In the fast moving world of information technology, Java is now the number 1 programming language. Programmers and developers everywhere need to know Java to keep pace with traditional and web-based application development. COBOL Programmers Swing with Java provides COBOL programmers a clear, easy transition to Java programming by drawing on the numerous similarities between COBOL and Java. The authors introduce the COBOL programmer to the history of Java and object-oriented programming and then dive into the details of the Java syntax, always contrasting them with their parallels in COBOL. A running case study gives the reader an overall view of application development with Java, with increased functionality as new material is presented. This new edition features the development of graphical user interfaces (GUI's) using the latest in Java Swing components. The clear writing style and excellent examples make the book suitable for anyone wanting to learn Java and OO programming, whethe

Linear logic is a branch of proof theory which provides refined tools for the study of the computational aspects of proofs. These tools include a duality-based categorical semantics, an intrinsic graphical representation of proofs, the introduction of well-behaved non-commutative logical connectives, and the concepts of polarity and focalisation. These various aspects are illustrated here through introductory tutorials as well as more specialised contributions, with a particular emphasis on applications to computer science: denotational semantics, lambda-calculus, logic programming and concurrency theory. The volume is rounded-off by two invited contributions on new topics rooted in recent developments of linear logic. The book derives from a summer school that was the climax of the EU Training and Mobility of Researchers project 'Linear Logic in Computer Science'. It is an excellent introduction to some of the most active research topics in the area.

For readers who know Java and have written at least a few programs in it, and are particularly familiar with anonymous inner classes, software consultant Holub explains programming in an object-orient

Spending a little time with this book can save lots of time on the computer!AppleScript is object-oriented programming language used to write script files to automate tasks and customize applications

Mobile systems, whose components communicate and change their structure, now pervade the informational world and the wider world of which it is a part. The science of mobile systems is as yet immature, however. This book presents the pi-calculus, a theory of mobile systems. The pi-calculus provides a conceptual framework for understanding mobility, and mathematical tools for expressing systems and reasoning about their behaviours. The book serves both as a reference for the theory and as an extended demonstration of how to use pi-calculus to describe systems and analyse their properties. It covers the basic theory of pi-calculus, typed pi-calculi, higher-order processes, the relationship between pi-calculus and lambda-calculus, and applications of pi-calculus to object-oriented design and programming. The book is written at the graduate level, assuming no prior acquaintance with the subject, and is intended for computer scientists interested in mobile systems.

This book treats learning a programming language much like learning a spoken language: programming is best learned by immersion. Through building interesting programs and addressing real design issues much earlier than other texts, this title moves beyond the mere syntax and discusses the serious architecture of programs: how delegation and inheritance allow objects to cooperate effectively. The text is filled with programs for realistic applications. These programs are much closer to those the student will encounter in the 'real world' than those in traditional texts. Furthermore, the authors constantly revise the programs as they grow in sophistication so students learn another important aspect of real-world programming: that programs are constantly updated, modified and improved. Finally, in the exercises, the authors encourage students to write programs that interact with programs that they have prepared, and then ask them to write about those programs.

This book treats learning a programming language much like learning a spoken language: programming is best learned by immersion. Through building interesting programs and addressing real design issues much earlier than other texts, this title moves beyond the mere syntax and discusses the serious architecture of programs: how delegation and inheritance allow objects to cooperate effectively. The text is filled with programs for realistic applications. These programs are much closer to those the student will encounter in the 'real world' than those in traditional texts. Furthermore, the authors constantly revise the programs as they grow in sophistication so students learn another important aspect of real-world programming: that programs are constantly updated, modified and improved. Finally, in the exercises, the authors encourage students to write programs that interact with programs that they have prepared, and then ask them to write about those programs.

Term rewriting systems developed out of mathematical logic and are an important part of theoretical computer science. They consist of sequences of discrete transformation steps where one term is replaced with another and have applications in many areas, from functional programming to automatic theorem proving and computer algebra. This 2003 book starts at an elementary level with the earlier chapters providing a foundation for the rest of the work. Much of the advanced material appeared here for the first time in book form. Subjects treated include orthogonality, termination, completion, lambda calculus, higher-order rewriting, infinitary rewriting and term graph rewriting. Many exercises are included with selected solutions provided on the web. A comprehensive bibliography makes this book ideal both for teaching and research. A chapter is included presenting applications of term rewriting systems, with many pointers to actual implementations.

Information content and programming semantics are just two of the applications of the mathematical concepts of order, continuity and domains. The authors develop the mathematical foundations of partially ordered sets with completeness properties of various degrees, in particular directed complete ordered sets and complete lattices. Uniquely, they focus on partially ordered sets that have an extra order relation, modelling the notion that one element 'finitely approximates' another, something closely related to intrinsic topologies linking order and topology. Extensive use is made of topological ideas, both by defining useful topologies on the structures themselves and by developing close connections with numerous aspects of topology. The theory so developed not only has applications to computer science but also within mathematics to such areas as analysis, the spectral theory of algebras and the theory of computability. This authoritative, comprehensive account of the subject will be e

Discrete mathematics is quickly becoming one of the most important areas of mathematical research, with applications to cryptography, linear programming, coding theory and the theory of computing. Th

Learn how to write technical applications in a modern object-oriented approach, using Fortran 90 or 95. This book will teach you how to stop focusing on the traditional procedural abilities of Fortran and to employ the principles of object-oriented programming to produce clear, highly efficient executable codes. Get ready now to take advantage of all the features of the finalized, fully object-oriented Fortran 200X! In addition to covering the OOP methodologies the book also covers the basic foundation of the language and good programming skills, making the book valuable also as a good migration tool for experienced Fortran programmers who want to smoothly pick up the OOP paradigm. The author highlights common themes by using comparisons with Matlab and C++ and uses numerous cross-referenced examples to convey all concepts quickly and clearly. Complete code for the examples is included on the book's web page.

JDBC--the Java Database Connectivity specification--is a complex set of application programming interfaces (APIs) that developers need to understand if they want their Java applications to work with d

On its own, C# simplifies network programming. Combine it with the precise instruction found in C# Network Programming, and you'll find that building network applications is easier and quicker than ev

Hardcore JFC is a comprehensive guide to the functionality and practical use of the Java Foundations Classes (JFC), a component library designed for the Java programming language and operating environment. It presents intermediate and advanced techniques in exploiting the power and flexibility of JFC and the Swing component set. The book describes the inner workings of Swing and how its design principles can be used to add tremendous value to Java applications. The important features of JFC components are investigated thoroughly with a focus on the comprehension of fundamentals and the pragmatic application of advanced techniques. Included are concrete illustrations of how to enhance the JFC architecture: leveraging the 'Model/View/Controller' paradigm, customizing and developing new components and techniques for creating 'look and feel' user interface classes. Explanations of design and development techniques are introduced through effective, well-constructed and reusable example code

This book is an in-depth exploration of ENVY/Developer, IBM's team programming environment for Smalltalk and Java. Written by well-known experts in the area, it presents both introductory and advanced topics with detailed examples. The first two parts of the book introduce the basics that a developer or development manager must know in order to use ENVY in a project setting, including the development process and the organization of applications. The third part covers advanced programming and customization, including detailed information on administering, troubleshooting, and extending the tools. This book covers VisualAge for Smalltalk, VisualWorks, and VisualAge Generator in detail. In addition, the concepts and management presented within the book apply to VisualAge for Java. Code examples, tools, and add-ons, are available on the supporting Web site.

"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-ran

A comprehensive, self-contained survey of the theory and applications of differential games, one of the most commonly used tools for modelling and analysing economics and management problems which are characterised by both multiperiod and strategic decision making. Although no prior knowledge of game theory is required, a basic knowledge of linear algebra, ordinary differential equations, mathematical programming and probability theory is necessary. Part One presents the theory of differential games, starting with the basic concepts of game theory and going on to cover control theoretic models, Markovian equilibria with simultaneous play, differential games with hierarchical play, trigger strategy equilibria, differential games with special structures, and stochastic differential games. Part Two offers applications to capital accumulation games, industrial organization and oligopoly games, marketing, resources and environmental economics.

Aimed at the traditional CS1 course, Java Programming emphasizesobject-oriented design, problem-solving, and good programming style,without overwhelming students with extraneous information.

Fundamentals of OOP and Data Structures in Java is a text for an introductory course on classical data structures. Part One of the book presents the basic principles of Object-Oriented Programming (OOP) and Graphical User Interface (GUI) programming with Java as the example language. Part Two introduces each of the major data structures with supporting, GUI-based laboratory programs designed to reinforce the basic concepts and principles of the text. These laboratories allow the reader to explore and experiment with the properties of each data structure. All source code for the laboratories is available on the web. By integrating the principles of OOP and GUI programming, this book takes the unique path of presenting the fundamental issues of data structures within the context of paradigms that are essential to today's professional software developer. The authors assume the reader has only an elementary understanding of Java and no experience with OOP.

Functional programming is a style of programming that emphasizes the use of functions (in contrast to object-oriented programming, which emphasizes the use of objects). It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easil

Sure, Java is the sexy new programming language that many people are now learning first, but staid, old (25 years) C, says Mnlder, is more efficient and appropriate when working with certain run-time

Functional programming is a style of programming that emphasizes the use of functions (in contrast to object-oriented programming, which emphasizes the use of objects). It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easil

More Java Gems presents the best articles and columns published in Java Report between 1997 and 1999. Dwight Deugo, Editor of Java Report, has carefully selected each article to be independent of any specific version of Java. The material relies mainly on those classes that are now part of the standard Java class library and APIs. Also, each article and column discusses Java topics and implementations that are not readily available in a single book. The book serves as an excellent reference to anyone involved with Java. The reader can learn more about the language, perform analysis, design and modeling, work on specific implementations, check performance, and perform testing. This book presents the good ideas of people who have used Java for 'real' applications.

An insider's view of the Java technology which poses and answers the most important frequently asked questions about the Java programming language, Java applets, and Java stand-alone applications. Som

With this practical book, you will attain a solid understanding of threads and will discover how to put this powerful mode of programming to work in real-world applications. The primary advantage of

This book provides an integrated treatment of the theory of nonnegative matrices (matrices with only positive numbers or zero as entries) and some related classes of positive matrices, concentrating on connections with game theory, combinatorics, inequalities, optimisation and mathematical economics. The wide variety of applications, which include price fixing, scheduling and the fair division problem, have been carefully chosen both for their elegant mathematical content and for their accessibility to students with minimal preparation. Many results in matrix theory are also presented. The treatment is rigorous and almost all results are proved completely. These results and applications will be of great interest to researchers in linear programming, statistics and operations research. The minimal prerequisites also make the book accessible to first-year graduate students.

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-conta

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-conta

Optimal control theory is a technique being used increasingly by academic economists to study problems involving optimal decisions in a multi-period framework. This textbook is designed to make the difficult subject of optimal control theory easily accessible to economists while at the same time maintaining rigour. Economic intuitions are emphasized, and examples and problem sets covering a wide range of applications in economics are provided to assist in the learning process. Theorems are clearly stated and their proofs are carefully explained. The development of the text is gradual and fully integrated, beginning with simple formulations and progressing to advanced topics such as control parameters, jumps in state variables, and bounded state space. For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purp

The primary object of this manual is to build an understanding of the principles of computer operations and the use of computers in the laboratory. While the development of applications for computers has been rapid since their introduction, the principles of computer operation and their use in sensing and control have remained stable. Those are the primary subjects of this book, throughout which a gradual understanding of what goes on inside a computer is developed. The laboratory provides a vital experience in linking theory with physical reality, and all of the computer work is done in the context of doing experiments. The IBM-PC design is used as the basis for the book. The internal design of this machine is slightly more complicated than earlier personal computers, but it is still simple enough to be quickly learned. The computer can be directly controlled by proper programming, and offers considerably more power than earlier designs. The IBM design also has expansion slots which m

Optimal control theory is a technique being used increasingly by academic economists to study problems involving optimal decisions in a multi-period framework. This textbook is designed to make the difficult subject of optimal control theory easily accessible to economists while at the same time maintaining rigour. Economic intuitions are emphasized, and examples and problem sets covering a wide range of applications in economics are provided to assist in the learning process. Theorems are clearly stated and their proofs are carefully explained. The development of the text is gradual and fully integrated, beginning with simple formulations and progressing to advanced topics such as control parameters, jumps in state variables, and bounded state space. For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purp

In this short book, the authors discuss three types of problems from combinatorial geometry: Borsuk's partition problem, covering convex bodies by smaller homothetic bodies, and the illumination problem. They show how closely related these problems are to each other. The presentation is elementary, with no more than high-school mathematics and an interest in geometry required to follow the arguments. Most of the discussion is restricted to two- and three-dimensional Euclidean space, though sometimes more general results and problems are given. Thus even the mathematically unsophisticated reader can grasp some of the results of a branch of twentieth-century mathematics that has applications in such disciplines as mathematical programming, operations research and theoretical computer science. At the end of the book the authors have collected together a set of unsolved and partially solved problems that a sixth-form student should be able to understand and even attempt to solve.

A staff engineer in Java at Sun Microsystems, Liang explains how programmers can integrate code written in the Java programming language with code written in other languages such as C and C++, thus al