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Algorithms and Models for the Web-Graph
  • Language: en
  • Pages: 193

Algorithms and Models for the Web-Graph

This volume constitutes the refereed proceedings of the 6th Workshop on - gorithms and Models for the Web Graph, WAW 2009, held in Barcelona in February 2009. The World Wide Web has become part of our everyday life, and information retrieval and data mining on the Web are now of enormous practical interest. The algorithms supporting these activities combine the view of the Web as a text repository and as a graph, induced in various ways by links among pages, links among hosts, or other similar networks. We also witness an increasing role of the second-generation Web-based applications Web 2.0, such as social networking sites and wiki sites. The workshop program consisted of 14 regular papers and two invited talks. The invited talks were given by Ravi Kumar (Yahoo! Research, USA) and Jos´ e Fernando Mendes (University of Aveiro, Portugal). The regular papers went through a thorough review process. The workshop papers were naturally cl- tered in three sections: “Graph Models for Complex Networks,” “PageRankand Web Graph” and “Social Networks and Search.” The ?rst section lays a foun- tionfor theoreticalandempiricalanalysisoftheWeb graphandWeb 2.0graphs.

Convex Analysis and Beyond
  • Language: en
  • Pages: 597

Convex Analysis and Beyond

This book presents a unified theory of convex functions, sets, and set-valued mappings in topological vector spaces with its specifications to locally convex, Banach and finite-dimensional settings. These developments and expositions are based on the powerful geometric approach of variational analysis, which resides on set extremality with its characterizations and specifications in the presence of convexity. Using this approach, the text consolidates the device of fundamental facts of generalized differential calculus to obtain novel results for convex sets, functions, and set-valued mappings in finite and infinite dimensions. It also explores topics beyond convexity using the fundamental m...

Fundamentals of Convex Analysis and Optimization
  • Language: en
  • Pages: 451

Fundamentals of Convex Analysis and Optimization

This book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions. It presents an original and systematic treatment of convex analysis, covering standard results and improved calculus rules in subdifferential analysis. The tools supplied in the text allow a direct approach to the mathematical foundations of convex optimization, in particular to optimality and duality theory. Other applications in the book concern convexification processes in optimization, non-convex integration of the Fenchel subdifferential, variational characterizations of convexity, an...

Modeling with Stochastic Programming
  • Language: en
  • Pages: 213

Modeling with Stochastic Programming

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Providing Quality of Service in Heterogeneous Environments
  • Language: en
  • Pages: 616
Random Graphs and Complex Networks
  • Language: en
  • Pages: 507

Random Graphs and Complex Networks

The definitive introduction to the local and global structure of random graph models for complex networks.

QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems
  • Language: en
  • Pages: 357
Network Control and Optimization
  • Language: en
  • Pages: 289

Network Control and Optimization

This book constitutes the refereed proceedings of the Third Euro-NF International Conference, NET-COOP 2009 held in Eindhoven, The Netherlands, in November 2009. The 18 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on performance analysis methods, wireless, queueing analysis, battery control, distributed control, and cooperation and competition.

Introduction to Probability for Computing
  • Language: en
  • Pages: 573

Introduction to Probability for Computing

A highly engaging and interactive undergraduate textbook specifically written for computer science courses.

Extreme Value Theory for Time Series
  • Language: en
  • Pages: 768

Extreme Value Theory for Time Series

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