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CATEGORIES:Microsoft Research Computational Science Seminars
SUMMARY:Statistical mechanics of large optimisation proble
ms - Prof. Giorgio Parisi\, Università degli Studi
di Roma 'La Sapienza'
DTSTART;TZID=Europe/London:20071018T140000
DTEND;TZID=Europe/London:20071018T150000
UID:TALK8714AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/8714
DESCRIPTION:*Abstract*: There are many points in common betwee
n statistical mechanics of disorder systems and op
timisation of large random problems.\n\nIn the rec
ent years many results have been obtained by apply
ing the techniques developed in the study of disor
dered systems to optimisation theory. This cross-f
ertilisation process between two different fields
has been quite fruitful.\n\nStatistical mechanics
tools are very sophisticated and powerful: they ha
ve an intermediate status between heuristic and ri
gorous techniques. By using them\, one can obtain
exact results for optimisation theory. Better algo
rithms for solving optimisation problems can be fo
und. The results obtained by constraint optimisati
on problems are particularly interesting.\n\n*Biog
raphy*: Giorgio Parisi is Professor of Quantum The
ories\, Università degli Studi di Roma 'La Sapienz
a'. He graduated from Rome University in 1970.\n\n
He is co-author of the book “Spin glass theory and
beyond” that has been very influential on the the
ory of statistical mechanics of random systems.\n\
nGiorgio Parisi has authored about 450 scientific
publications and about 60 contributions to congres
ses or schools. His main research activity is in t
he field of elementary particles\, theory of phase
transitions and statistical mechanics\, mathemati
cal physics and string theory\, disordered systems
(spin glasses and complex systems)\, neural netwo
rks\, theoretical immunology\, computers and very
large scale simulations of quantum chromodynamics
(the APE project)\, non equilibrium statistical ph
ysics\, optimisation and animal behaviour.\n\nIn h
is work he has also stressed the importance of lar
ge scale simulations for supporting the progress o
f the theory and for a meaningful comparison of th
e theory with experiments.
LOCATION:Microsoft Research Ltd\, 7 J J Thomson Avenue (Off
Madingley Road)\, Cambridge
CONTACT:Dr Fabien Petitcolas
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