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Title: Algorithms/Conferences/Past Conferences - Phase Transitions and Algorithmic Complexity IPAM, Los Angelese, CA, USA; 3--5 June 2002.
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IPAM - Phase Transitions And Algorithmic Complexity
Phase Transitions And Algorithmic Complexity
June 3 - 5, 2002
Schedule and PresentationsPictures
Organizing Committee:
Allon Percus, Chair
(Los Alamos National Laboratory)
Dimitris Achlioptas
(Microsoft Research)
Bela Bollobas
(Cambridge University / University of Memphis)
Christian Borgs
(Microsoft Research)
Jennifer Chayes
(Microsoft Research)
Bart Selman
(Cornell University)
Introduction
The study of phase transitions in combinatorial
problems has a distinguished history, originating with the work of Erdös
and Rényi on random graphs almost half a century ago. During the past ten
years, there has been a rapidly increasing awareness of the relevance of
phase transitions to average-case algorithmic performance on
computationally hard problems. It has become clear that theoretical tools
developed in the mathematical and physical sciences, involving critical
phenomena, are essential to understanding processes fundamental to
computation. This goal has lately mobilized mathematicians, physicists and
computer scientists alike, leading to a flurry of activity encompassing
conjectures, theoretical insights, and numerical as well as rigorous
results.
It is now recognized that for a wide range of
computational problems defined over ensembles of random instances, the
most challenging instances are found near a threshold in parameter space
where certain characteristics of the problem change dramatically. In
statistical mechanics terms, this may be understood as a phase transition,
where the system undergoes a sudden change in microscopic order.
Theoretical arguments from the Satisfiability problem - which in certain
cases exhibits a replica symmetry breaking (RSB) phase transition similar
to that seen in spin glasses - indicate a connection between the nature of
the transition and the problem's average-case algorithmic complexity.
However, the details of this connection remain tentative. A better
understanding of critical phenomena in the context of random combinatorial
structures will be a key ingredient to improving our current notions of
algorithmic complexity and performance.
On June 3 – 5, 2002, we will hold a 3-day
"Hot Topic" workshop at IPAM. Using the tools of discrete
mathematics, our goal is to chart the course towards a theory of critical
phenomena in algorithmic complexity. To this end, the workshop will bring
together researchers from the fields of mathematics, computer science and
physics. Specific topics will span all three fields, and may include:
Random graphs
Local search
Satisfiability
Markov chain sampling
Average-case complexity
Percolation
Finite size scaling
Disordered and glassy systems
Frustration
Replica symmetry
Speakers
Tutorial speakers
Dimitris Achlioptas
(Microsoft Research)
Christian Borgs
(Microsoft Research)
Anton Bovier
(Weierstrass Institute, Berlin)
Jennifer Chayes
(Microsoft Research)
Rémi Monasson
(École Normale Superieure, Paris)
Technical speakers
Paul Beame
(University of Washington)
Bela Bollobas
(Cambridge University / University of Memphis)
John Doyle
(California Institute of Technology)
Jeong Han Kim
(Microsoft Research)
Lefteris Kirousis
(University of Patras, Greece)
Stephan Mertens
(University of Magdeburg, Germany)
Michael Molloy
(University of Toronto)
Cristopher Moore
(University of New Mexico / Santa Fe Institute)
Bart Selman
(Cornell University)
Michel Talagrand
(Ohio State University / University of Paris, Jussieu)
David Wilson
(Microsoft Research)
Weixiong Zhang
(Washington University)
Sponsors
Institute for Pure and Applied
Mathematics
Intelligent Information Systems
Institute
Los Alamos National Laboratory
Microsoft Research
Contact Us:
Institute for Pure and Applied Mathematics (IPAM)
Attn: PTAC2002
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website:
http://www.ipam.ucla.edu/programs/ptac2002/
[ Home ] [ People ] [ Events ] Programs [ Visitor Info ]
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IPAM, | Los | Angelese, | CA, | USA; | 3--5 | June | 2002. |
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http://www.ipam.ucla.edu/programs/ptac2002/
Phase Transitions and Algorithmic Complexity 2008 September
dvd rental
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IPAM, Los Angelese, CA, USA; 3--5 June 2002.
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