The purpose of this book is to provide an introduction on how to write computer programs in C. The authors aim to teach C programming without presenting more information than is absolutely necessary about the internal working of the computer. Unnecessary use of computing jargon is also avoided.
For total beginners, computer programming seems unbelievably complicated. This innovative tutorial takes readers directly into C++ and object-oriented programming by starting with an example with which they are familiar--a dog's behavior. Cogswell is a professional Windows programmer who has taught math and computer science and has written for various computer magazines, including Dr. Dobbs Journal.
The study of operator algebras, which grew out of von Neumann's work in the 1920s and the 1930s on modelling quantum mechanics, has in recent years experienced tremendous growth and vitality. This growth has resulted in significant applications in other areas - both within and outside mathematics. The field was a natural candidate for a 1994-1995 program year in Operator Algebras and Applications held at The Fields Institute for Research in the Mathematical Sciences. This volume contains a selection of papers that arose from the seminars and workshops of the program. Topics covered include the classification of amenable C*-algebras, the Baum-Connes conjecture, E[subscript 0] semigroups, subfactors, E-theory, quasicrystals, and the solution to a long-standing problem in operator theory: Can almost commuting self-adjoint matrices be approximated by commuting self-adjoint matrices?
The book presents an up-to-date overview of C++ programming with object-oriented programming concepts, with a wide coverage of classes, objects, inheritance, constructors, and polymorphism. Selection statements, looping, arrays, strings, function sorting and searching algorithms are discussed. With abundant practical examples, the book is an essential reference for researchers, students, and professionals in programming.
Computers are just as busy as the rest of us nowadays. They have lots of tasks to do at once, and need some cleverness to get them all done at the same time.That's why threads are seen more and more often as a new model for programming. Threads have been available for some time. The Mach operating system, the Distributed Computer Environment (DCE), and Windows NT all feature threads.One advantage of most UNIX implementations, as well as DCE, is that they conform to a recently ratified POSIX standard (originally 1003.4a, now 1003.1c), which allows your programs to be portable between them. POSIX threads are commonly known as pthreads, after the word that starts all the names of the function calls. The standard is supported by Solaris, OSF/1, AIX, and several other UNIX-based operating systems.The idea behind threads programming is to have multiple tasks running concurrently within the same program. They can share a single CPU as processes do, or take advantage of multiple CPUs when available. In either case, they provide a clean way to divide the tasks of a program while sharing data.A window interface can read input on dozens of different buttons, each responsible for a separate task. A network server has to accept simultaneous calls from many clients, providing each with reasonable response time. A multiprocessor runs a number-crunching program on several CPUs at once, combining the results when all are done. All these kinds of applications can benefit from threads.In this book you will learn not only what the pthread calls are, but when it is a good idea to use threads and how to make them efficient (which is the whole reason for using threads in the first place). The authors delves into performance issues, comparing threads to processes, contrasting kernel threads to user threads, and showing how to measure speed. He also describes in a simple, clear manner what all the advanced features are for, and how threads interact with the rest of the UNIX system.Topics include: Basic design techniques Mutexes, conditions, and specialized synchronization techniques Scheduling, priorities, and other real-time issues Cancellation UNIX libraries and re-entrant routines Signals Debugging tips Measuring performance Special considerations for the Distributed Computing Environment (DCE)
C++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. But this high-level language is relatively difficult to master, even if you already know the C programming language.The 2nd edition of Practical C++ Programming is a complete introduction to the C++ language for programmers who are learning C++. Reflecting the latest changes to the C++ standard, this 2nd edition takes a useful down-to-earth approach, placing a strong emphasis on how to design clean, elegant code.In short, to-the-point chapters, all aspects of programming are covered including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you've mastered the material.Practical C++ Programming thoroughly covers: C++ Syntax Coding standards and style Creation and use of object classes Templates Debugging and optimization Use of the C++ preprocessor File input/output Steve Oualline's clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.
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Petri Nets represent a long and sustained effort· to develop concepts, theories and tools to aid in design and analysis of concurrent systems. They are used in many areas of computer science including software engineering, data base and in formation systems, computer architecture and operating systems, communication protocols and computer networks, process control, and socio-technical systems such as office communication and man-machine interaction. Quite substantial theory has been developed for Petri Nets. It reflects all major problem areas of concurrent distributed systems and covers many successfully applied principles and analysis techniques for systems organisation. Since the time that C. A. Petri has presented his original ideas, a rich body of knowledge has been developed-a recent bibliography (in Advances in Petri Nets 1981) includes more than 2000 entries. Already in 1979 an Advanced Course on Petri Nets was organized in Hamburg, West Germany, aiming at systematizing the existing knowledge and making it well accessible to a wide audience of computer scientists interested in theory and applications of concurrent systems. This course has turned out to be successful in the sense that it has initiated a lot of new research into applications and theory of Petri Nets. This had led to· another Advanced Course in 1986 in Bad Honnef, West Germany - where during two weeks more than 30 lectures were presented covering the most important current developments in the area of Petri Nets.
This book constitutes the refereed proceedings of the 9th International Symposium on Algorithms and Computation, ISAAC'98, held in Taejon, Korea, in December 1998. The 47 revised full papers presented were carefully reviewed and selected from a total of 102 submissions. The book is divided in topical sections on computational geometry, complexity, graph drawing, online algorithms and scheduling, CAD/CAM and graphics, graph algorithms, randomized algorithms, combinatorial problems, computational biology, approximation algorithms, and parallel and distributed algorithms.