Frustrated by the lack of well-written essays on software engineering, Joel Spolsky (of www.joelonsoftware.com fame) has put together a collection of his favorite writings on the topic. With a nod to both the serious and funny sides of technical writing, The Best Software Writing I: Selected and Introduced by Joel Spolsky is an entertaining read and a guide to the technical writing literati. The Best Software Writing I contains writings from: Ken Arnold Leon Bambrick Michael Bean Rory Blyth Adam Bosworth danah boyd Raymond Chen Kevin Cheng and Tom Chi Cory Doctorow ea_spouse Bruce Eckel Paul Ford Paul Graham John Gruber Gregor Hohpe Ron Jeffries Eric Johnson Eric Lippert Michael Lopp Larry Osterman Mary Poppendieck Rick Schaut Aaron Swartz Clay Shirky Eric Sink why the lucky stiff

For use with DEC and IBM printers. Consistent, crisp character output. Device Types: Printer; Color(s): Black; OEM/Compatible: Compatible; Material(s): Nylon. For use with: Printronix, OCR. Manufacturer's 1-year limited warranty. Black. Compatible

"This IMA Volume in Mathematics and its Applications ALGORITHMS FOR PARALLEL PROCESSING is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on ""MATHEMATICS IN HIGH-PERFORMANCE COMPUTING. "" The workshop brought together algorithm developers from theory, combinatorics, and scientific computing. The topics ranged over models, linear algebra, sorting, randomization, and graph algorithms and their analysis. We thank Michael T. Heath of University of lllinois at Urbana (Com­ puter Science), Abhiram Ranade of the Indian Institute of Technology (Computer Science and Engineering), and Robert S. Schreiber of Hewlett­ Packard Laboratories for their excellent work in organizing the workshop and editing the proceedings. We also take this opportunity to thank the National Science Founda­ tion (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. A vner Friedman Robert Gulliver v PREFACE The Workshop on Algorithms for Parallel Processing was held at the IMA September 16 - 20, 1996; it was the first workshop of the IMA year dedicated to the mathematics of high performance computing. The work­ shop organizers were Abhiram Ranade of The Indian Institute of Tech­ nology, Bombay, Michael Heath of the University of Illinois, and Robert Schreiber of Hewlett Packard Laboratories. Our idea was to bring together researchers who do innovative, exciting, parallel algorithms research on a wide range of topics, and by sharing insights, problems, tools, and methods to learn something of value from one another."

Ada is the programming language of choice for high integrity software systems and is used extensively in industries such as transportation and aerospace. Special features of the book include: Object-oriented programming, concurrency, and embedded and real-time systems are emphasized. Ada for Software Engineers explains the language concepts and the terminology of the standards document, the Ada Reference Manual (ARM). Extracts from the ARM are used throughtout and there are extensive cross references to the ARM. A comprehensive glossary and technical quizzes assist the reader in developing the ability to use the ARM as a practical reference. Comparisons with familiar languages like C and Java are given to facilitate the transition to Ada. The features of Ada 2005 are used routinely, but they are carefully identified, so that programmers using Ada 95 will also find the textbook useful. The companion website contains the full source code of nearly 100 case studies and 100 technical quizzes.

"The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process­ ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem­ bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop ""Fuzzy Filters for Image Processing"" which was organized at the 10th FUZZ-IEEE Conference in Mel­ bourne, Australia. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. Afterwards, the book has been completed with contributions of other international re­ searchers."

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