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Thisvolumecontainsthepaperspresentedatthe7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2004) and the 8th International Workshop on Randomization and Compu- tion (RANDOM 2004), which took place concurrently at Harvard University, Cambridge, on August 22-24, 2004. APPROX focuses on algorithmic and c- plexity issues surrounding the development of e?cient approximate solutions to computationally hard problems, and this year's workshop was the seventh in the series after Aalborg (1998), Berkeley (1999), Saarbru ]cken (2000), Berkeley (2001), Rome (2002), and Princeton (2003). RANDOM is concerned with app- cations of randomness to computational and combinatorial problems, and this year'sworkshopwasthe eighth in the seriesfollowing Bologna(1997), Barcelona (1998), Berkeley (1999), Geneva (2000), Berkeley (2001), Harvard (2002), and Princeton (2003). Topics of interest for APPROX and RANDOM are: design and analysis of approximation algorithms, inapproximability results, approximationclasses, - line problems, small space and data streaming algorithms, sub-linear time al- rithms, embeddings and metric space methods in approximation, math prog- ming in approximation algorithms, coloring and partitioning, cuts and conn- tivity, geometric problems, network design and routing, packing and covering, scheduling, game theory, design and analysis of randomized algorithms, r- domized complexity theory, pseudorandomness and derandomization, random combinatorial structures, random walks/Markov chains, expander graphs and randomness extractors, probabilistic proof systems, random projectionsand - beddings, error-correctingcodes, average-caseanalysis, propertytesting, com- tational learning theory, and other applications of approximation and rand- ness. The volumecontains19+18contributed papers, selected by the two program committees from 54+33 submissions received in response to the call for papers."
An Engineering Companion to Mechanics of Materials is the first volume in the Momentum Press collection The Modern Engineering Companions: A Systems Approach to the Study of Engineering. In Mechanics of Materials, we apply the intuitive "systems approach" to learning, the advantages of which are several. The student first gets a broad overview of the entire subject rather than the narrow piecemeal vision afforded by the traditional "component approach" common to most engineering texts. Mechanics of Materials comes with additional features to improve student learning, including Common Confusing Concepts (C3) noted and clarii ed, indication of key concepts, side bar discussions, worked examples, and exercises for developing engineering intuition. The Companions are intended as a supplementary resource to help both undergraduate, graduate, and post-graduate students better learn and understand engineering concepts.
This new book is the first to bridge the often disparate bodies of
knowledge now known as applied mechanics and materials science.
Using a very methodological process to introduce mechanics,
materials, and design issues in a manner called "total structural
design," this book seeks a solution in "total design space"
Features of the text include:
Many fundamental combinatorial problems, arising in such diverse fields as artificial intelligence, logic, graph theory, and linear algebra, can be formulated as Boolean constraint satisfaction problems (CSP). This book is devoted to the study of the complexity of such problems. The authors' goal is to develop a framework for classifying the complexity of Boolean CSP in a uniform way. In doing so, they bring out common themes underlying many concepts and results in both algorithms and complexity theory. The results and techniques presented here show that Boolean CSP provide an excellent framework for discovering and formally validating "global" inferences about the nature of computation. This book presents a novel and compact form of a compendium that classifies an infinite number of problems by using a rule-based approach. This enables practitioners to determine whether or not a given problem is known to be computationally intractable. It also provides a complete classification of all problems that arise in restricted versions of central complexity classes such as NP, NPO, NC, PSPACE, and #P.
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