Dagstuhl Seminar Proceedings, Volume 7071,

• Andreas Frommer, Michael W. Mahoney, and Daniel B. Szyld 07071 Abstracts Collection – Web Information Retrieval and Linear Algebra Algorithms 10.4230/DagSemProc.07071.1
• Andreas Frommer, Michael W. Mahoney, and Daniel B. Szyld 07071 Report on Dagstuhl Seminar – Web Information Retrieval and Linear Algebra Algorithms 10.4230/DagSemProc.07071.2
• Paolo Boldi, Massimo Santini, and Sebastiano Vigna A Deeper Investigation of PageRank as a Function of the Damping Factor 10.4230/DagSemProc.07071.3
• Philip A. Knight and Daniel Ruiz A Fast Algorithm for Matrix Balancing 10.4230/DagSemProc.07071.4
• Andrew P. Gray, Chen Greif, and Tracy Lau An Inner/Outer Stationary Iteration for Computing PageRank 10.4230/DagSemProc.07071.5
• Giorgios Kollias and Efstratios Gallopoulos Asynchronous Computation of PageRank computation in an interactive multithreading environment 10.4230/DagSemProc.07071.6
• Ivo Marek, Ivana Pultarová, and Petr Mayer Convergence of iterative aggregation/disaggregation methods based on splittings with cyclic iteration matrices 10.4230/DagSemProc.07071.7
• Julia Luxenburger and Gerhard Weikum Exploiting Community Behavior for Enhanced Link Analysis and Web Search 10.4230/DagSemProc.07071.8
• Claude Brezinski and Michela Redivo-Zaglia Extrapolation and minimization procedures for the PageRank vector 10.4230/DagSemProc.07071.9
• Stefano Serra Capizzano Google Pageranking Problem: The Model and the Analysis 10.4230/DagSemProc.07071.10
• Catherine Fraikin and Paul Van Dooren Graph matching with type constraints on nodes and edges 10.4230/DagSemProc.07071.11
• Peter Buchholz Iteration at Different Levels: Multi-Level Methods fro Structured Markov Chains 10.4230/DagSemProc.07071.12
• Giorgios Kollias and Efstratios Gallopoulos Multidamping simulation framework for link-based ranking 10.4230/DagSemProc.07071.13
• Sudipto Guha and Boulos Harb Nonlinear Approximation and Image Representation using Wavelets 10.4230/DagSemProc.07071.14
• Sebastiano Vigna Stanford Matrix Considered Harmful 10.4230/DagSemProc.07071.15
• Philip A. Knight The Sinkhorn-Knopp Algorithm:Convergence and Applications 10.4230/DagSemProc.07071.16
• David Gleich, Peter Glynn, Gene Golub, and Chen Greif Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative 10.4230/DagSemProc.07071.17