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Theory and Practice of Algorithms in (Computer) Systems
This book constitutes the refereed proceedings of the First International ICST Conference on Theory and Practice of Algorithms in (Computer) Systems, TAPAS 2011, held in Rome, Italy, in April 2011. The 25 papers presented, including three short papers by invited speakers, were carefully reviewed and selected from 45 submissions. The papers all feature original research in the design, implementation and evaluation of algorithms with special focus on algorithms for combinatorial optimization problems, and to real-world applications, engineering and experimental analysis of algorithms - thus fostering the cooperation among researchers in computer science, networking, discrete mathematics, mathematical programming and operations research.
The Argosy
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Learning Theory
This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.
Italy
Thanks to its winning combination of storied art, fashion, food, wine, and breathtaking landscapes, Italy is an ideal destination for every traveler. This newly revised guidebook, part of a best-selling series, offers everything you need to plan your next great Italian adventure, including 29 detailed maps; itineraries by car, by bike, by motorcycle, or on foot; practical travel advice, and insider tips to ensure your trip is a success. Detailed lists offer can’t-miss destinations and unforgettable experiences, such as watching the Palio di Siena horse race in Siena, exploring the trulli limestone dwellings in Puglia, and visiting photo-worthy Chianti vineyards for a tasting. Whether you’re starting your trip in the “Eternal City” of Rome, farther north in cosmopolitan Milan, or beachside in stunning Sicily, this detailed guidebook offers everything you need to make the most of your time in Italy.
Rome
Inspiring photography, insider tips, cultural interpretation, and expert advice are hallmarks of these bestselling travel guides, ensuring a more authentic, enriching experience of the destination. The Eternal City, with its almost three thousand years of history, bears witness to the genius, the tenacity, and the versatility of a people and a civilization. History and culture, monuments and curiosities, art and tradition. Thanks to a series of recommended itineraries, the reader will be able to explore even hidden corners of the city, taking advantage of the practical information provided. From Piazza di Spagna to the heights of the Palatino, the expert authors guide readers through this vi...
Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks
The availability of cheaper, faster, and more reliable electronic components has stimulated important advances in computing and communication technologies. Theoretical and algorithmic approaches that address key issues in sensor networks, ad hoc wireless networks, and peer-to-peer networks play a central role in the development of emerging network paradigms. Filling the need for a comprehensive reference on recent developments, Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks explores two questions: What are the central technical issues in these SAP networks? What are the possible solutions/tools available to address these issues? The edit...
Peer-to-Peer Computing for Mobile Networks
This book presents research results on data dissemination in mobile networks and peer-to-peer systems for mobile devices. The main focus is a novel resource-sharing mechanism for mobile devices that introduces a new paradigm of information-sharing cooperation among mobile devices not necessarily connected to the internet. The book is geared to the needs of researchers and practitioners in industry, and is also suitable for advanced-level students in computer science and electrical engineering.
Dynamic Spectrum Auction in Wireless Communication
This brief explores current research on dynamic spectrum auctions, focusing on fundamental auction theory, characteristics of the spectrum market, spectrum auction architecture and possible auction mechanisms. The brief explains how dynamic spectrum auctions, which enable new users to gain spectrum access and existing spectrum owners to obtain financial benefits, can greatly improve spectrum efficiency by resolving the artificial spectrum shortage. It examines why operators and users face significant challenges due to specialty of the spectrum market and the related requirements imposed on the auction mechanism design. Concise and up-to-date, Dynamic Spectrum Auction in Wireless Communication is designed for researchers and professionals in computer science or electrical engineering. Students studying networking will also find this brief a valuable resource.
Optimization Problems in Self-Organizing Networks
Modern computer networks or wireless ad-hoc networks offer a wide range of interesting optimization problems. Usual optimization goals are the minimization of the message delay in a Peer-to-Peer system or the minimization of the energy consumption of a wireless network. This thesis presents different kinds of algorithms to solve such optimization problems. Starting from the mathematical formulations for these problems, various global view optimization algorithms are presented. These algorithms are based on evolutionary algorithms and local search or similar heuristics. They can be used to quickly find near-optimal solutions, if a global view of the network is possible. As the participants in a computer network or a wireless ad-hoc network are autonomous nodes, distributed algorithms can be designed that enable these nodes to collectively solve the optimization problem. Four distributed algorithms are formulated and evaluated in this thesis, thus laying grounds for distributed optimization of networks. Using these algorithms, the network can be modelled as a self-optimizing network and the optimization problem can be approached without global view.
