Computer Science Today: Recent Trends and Developments

by Jan Van Leeuwen (editor)

A quantum jump in computer science.- Artificial life and real world computing.- Recurrent neural networks.- Scalable computing.- Efficient use of parallel & distributed From theory to practice.- Experimental validation of models of parallel computation.- Quo vadetis, parallel machine models?.- Templates for linear algebra problems.- The ART behind IDEAS.- Algorithmic number theory and its relationship to computational complexity.- Edge-coloring algorithms.- Towards a computational theory of genome rearrangements.- Algebraic topology and distributed computing a primer.- Differential BDDs.- Algorithmic techniques for geometric optimization.- All the needles in a Can exhaustive search overcome combinatorial chaos?.- Fundamental limitations on search Evolutionary computing in perspective.- Mathematical system models as a basis of software engineering.- Formulations and formalisms in software architecture.- The Oz Programming Model.- Standard Generalized Markup Mathematical and philosophical issues.- Avoiding the undefined by underspecification.- Towards a theory of recursive structures.- Chu spaces and their interpretation as concurrent objects.- Abstracting A key step in the design of logic program analyses.- Programming Satan's computer.- Petri Net models of distributed algorithms.- Symmetry and induction in model checking.- Alternating automata and program verification.- Reasoning about actions and change with ramification.- Trends in active vision.- Computational machine learning in theory and praxis.- Fuzzy sets as a tool for modeling.- Information retrieval and informative reasoning.- Database transaction models.- Multimedia authoring State of the art and research challenges.- Computational models for distributed multimedia applications.- Hypermedia systems as internet tools.

662 pages, Paperback

First published November 22, 1995