Ronald Fagin, Anupam Gupta, Ravi Kumar, R. O'Donnell
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引用次数: 0
Abstract
This volume comprises the polished and fully refereed versions of a selection of papers presented at the Thirty-Seventh Annual ACM Symposium on Theory of Computing (STOC 2005), held in Baltimore, Maryland, May 22-24, 2005. Unrefereed preliminary versions of the papers presented at the symposium appeared in the proceedings of the meeting, published by ACM. The symposium was sponsored by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT).
The STOC 2005 Program Committee consisted of Gerth Stolting Brodal, Harry Buhrman, Jin-Yi Cai, Cynthia Dwork, Ronald Fagin (chair), Martin Farach-Colton, Anupam Gupta, Sariel Har-Peled, Russell Impagliazzo, Kamal Jain, Adam Tauman Kalai, David Karger, Claire Kenyon, Subhash Khot, Ravi Kumar, Moni Naor, Ryan O'Donnell, Toniann Pitassi, Tim Roughgarden, Alistair Sinclair, and Amnon Ta-Shma.
Out of 290 “Extended Abstracts” submitted to the STOC 2005 Program Committee, 84 were selected for presentation at the symposium. The present volume includes 9 of these papers that were invited to this volume. All papers were refereed in accordance with the SIAM Journal on Computing's stringent standards, and these papers were substantially updated in the process. We take this opportunity to thank all the referees whose anonymous work has significantly contributed to the value of this volume.
Ronald Fagin, the Program Chair of the 2005 STOC Conference, invited three other members of the Program Committee (Anupam Gupta, Ravi Kumar, and Ryan O'Donnell) to assist in editing this special issue of the of the SIAM Journal on Computing, and all agreed. We feel that it was an honor to edit this issue.
期刊介绍:
The SIAM Journal on Computing aims to provide coverage of the most significant work going on in the mathematical and formal aspects of computer science and nonnumerical computing. Submissions must be clearly written and make a significant technical contribution. Topics include but are not limited to analysis and design of algorithms, algorithmic game theory, data structures, computational complexity, computational algebra, computational aspects of combinatorics and graph theory, computational biology, computational geometry, computational robotics, the mathematical aspects of programming languages, artificial intelligence, computational learning, databases, information retrieval, cryptography, networks, distributed computing, parallel algorithms, and computer architecture.