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Latest trends on systems - Wseas.us

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LATEST TRENDS <strong>on</strong> SYSTEMS (Volume I)Plenary Lecture 10Accelerate your Favorite Numerical Integrator with Two Lines of CodeAssistant Professor Houman OwhadiCalifornia Institute of TechnologyPasadena, CAUSAE-Mail: owhadi@caltech.eduAbstract: Dynamical <strong>systems</strong> (possibly stochastic) with multiple time scales pose a major problem in simulati<strong>on</strong>sbeca<strong>us</strong>e the small time steps required for stable integrati<strong>on</strong> of the fast moti<strong>on</strong>s lead to large numbers of time stepsrequired for the observati<strong>on</strong> of slow degrees of freedom. A general belief has been that with a n<strong>on</strong>linear relati<strong>on</strong>between original and slow variables, averaging integrators should not work "if the slow variables are not explicitlyidentified and made <strong>us</strong>e of". Furthermore, in recent years, a great deal of attenti<strong>on</strong> has been foc<strong>us</strong>ed <strong>on</strong> the followingchallenges: How to accelerate a legacy code (<strong>us</strong>ed as black box) for stiff ODEs or SDEs while, at the same time,preserving all of its nice properties? How to obtain explicit structure/symmetry-preserving integrators for (possiblystochastic) mechanical (molecular) <strong>systems</strong> with n<strong>on</strong> quadratic stiff-potentials? etc...In this talk, we show that these problems have a surprisingly simple comm<strong>on</strong> soluti<strong>on</strong>: turning <strong>on</strong> and off largecoefficients in the legacy code. This a joint work with J. Marsden and M. Tao.Brief Biography of the Speaker:Houman Owhadi PhD is an assistant professor of Applied and Computati<strong>on</strong>al Mathematics and C<strong>on</strong>trol andDynamical Systems at California Institute of Technology. His research interests are in homogenizati<strong>on</strong> and multiscaleanalysis, probability theory, stochastic mechanics, molecular dynamics and uncertainty quantificati<strong>on</strong>. He is the headof the uncertainty quantificati<strong>on</strong> group of the Caltech Predictive Science Academic Alliance Program.ISSN: 1792-4235 30 ISBN: 978-960-474-199-1

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