Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 426)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Objects for Concurrent Constraint Programming analyzes the possibility of supporting object-oriented programming in ccp. Starting from established approaches, the book covers various object models and discusses their properties. Small Oz, a sublanguage of the ccp language Oz, is used as a model language for this analysis. This book presents a general-purpose object system for Small Oz and describes its implementation and expressivity for concurrent computation.
Objects for Concurrent Constraint Programming is written for programming language researchers with an interest in programming language aspects of concurrency, object-oriented programming, or constraint programming. Programming language implementors will benefit from the rigorous treatment of the efficient implementation of Small Oz. Oz programmers will get a first-hand view of the design decisions that lie behind the Oz object system.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
-
Setting the Stage
-
Object-Oriented Programming
-
Objects and Concurrency
Authors and Affiliations
Bibliographic Information
Book Title: Objects for Concurrent Constraint Programming
Authors: Martin Henz
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-5477-6
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8038-2Published: 31 October 1997
Softcover ISBN: 978-1-4613-7502-9Published: 11 October 2012
eBook ISBN: 978-1-4615-5477-6Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXI, 171
Topics: Programming Languages, Compilers, Interpreters, Software Engineering/Programming and Operating Systems, Artificial Intelligence