Adaptive and Multilevel Methods
for Partial Differential Equations
13-14 November 2009
UC San Diego in La Jolla, California
Adaptive and multilevel methods are two very successful classes of modern numerical methods for solving partial differential equations. A rich convergence theory has been developed for multilevel methods, and recently there have been major advances in the development of convergence theory for adaptive methods. While the theories for both methods have been studied essentially independently for several decades, remarkable similarities have begun to emerge. The purpose of the workshop is to bring together active researchers in these two areas to germinate additional advances.
The workshop is being held in honor of Randolph Bank's 60th Birthday, and is being hosted by the Center for Computational Mathematics at UC San Diego. We will also be celebrating the retirement of James Bunch, who started the numerical analysis group at UCSD in the 1970's. There will be a workshop dinner on Friday evening (November 13).
The workshop will consist of about twelve 40-minute talks, taking place between 9am and 5:30pm on Friday November 13, and between 9am and 12:30pm on Saturday November 14. Confirmed invited speakers include:
The workshop will take place in a Lecture Hall in the AP&M Building on the UC San Diego Campus. This building houses both the Center for Computational Mathematics and the Department of Mathematics. Maps, directions, and information about lodging, and other practical information can be found [ here ].
The CCoM Faculty and Postdocs
Professor Michael Holst
Center for Computational Mathematics
University of California, San Diego
Department of Mathematics
9500 Gilman Drive, Dept. 0112
La Jolla, CA 92093-0112 USA