File Structures: An Object-Oriented Approach with C++: International Edition - Tapa blanda

This best-selling book provides the conceptual tools to build file structures that can be quickly and efficiently accessed. It teaches good design judgment through an approach that puts the "hands-on" work of constructing and running programs at the center of the learning process. This third edition presents the practice of object-oriented design and programming with complete implementations in C++ of many of the file structures techniques, including direct access I/O, buffer packing and unpacking, indexing, cosequential processing, B-trees, and external hashing. By following the examples, students will gain a significant understanding of file structure techniques, and see how C++ can be made an effective software development tool. Every line of code in the book has been tested on a variety of C++ systems. In addition, the class definitions and bodies are collected together in appendices.

Michael J. Folk manages the Scientific Data Technologies Group at the National Center for Supercomputing Applications at the University of Illinois in Urbana. He has been responsible for developing a general purpose scientific data file format called HDF and software for managing data in high-performance, high-volume computing environments. Prior to his work at Illinois, Dr. Folk was a professor of computer science for fifteen years at Oklahoma State and Drake Universities. Bill Zoellick is currently a partner in and founder of Fastwater LLP, a consultancy focusing on helping companies build effective web businesses. He frequently writes about the issues addressed in Web Engagement and speaks on them at user conferences such as Seybold and Internet World and at various user associations and seminars. He has been a software developer, business owner, executive in a $100 million software company, and, most recently, a management consultant and business analyst. Greg Riccardi is a professor of computer science at Florida State University and an associate of the Supercomputer Computations Research Institute. Professor Riccardiis research interests include scientific databases, object-oriented databases, and parallel computation. He is also affiliated with the Thomas Jefferson National Accelerator Facility where he works on the acquisition, management, and analysis of data for experimental physics. He received a University Teaching Award in 1997 from Florida State University. 0201874016AB05172001