Mathematics and School of Computational Science, Florida State University
The computational approximation of solutions of complex systems suchas the Navier-Stokes equations is often a formidable task. Forexample, in feedback control settings where one often needs solutionsof the complex systems in real time, it would be impossible to uselarge-scale finite element or finite-volume or spectral codes. Forthis reason, there has been much interest in the development of low-dimensional models that can accurately be used to simulate andcontrol complex systems. We review some of the existing reduced-ordermodeling approaches, including reduced-basis methods and especiallymethods based on proper orthogonal decompositions techniques. We alsodiscuss a new approach based on centroidal Voronoi tessellations. Wediscuss the relative merits and deficiencies of the differentapproaches and also the inherent limitations of reduced-ordermodeling in general.
Thursday, May 17, 2007
4:00PM AP&M 6402
Center for Computational Mathematics9500 Gilman Dr. #0112La Jolla, CA 92093-0112Tel: (858)534-9813