Sunday, September 24

Fast Algorithms and Computational Engineering

9:15 AM-10:00 AM
New Hampshire Ballroom
Chair: David E. Keyes, Old Dominion University, and ICASE, USA

Many problems in scientific computing require the solution of partial differential equations in complex geometry. There is a corresponding need for robust algorithms that are automatically adaptive and able to control precision. We present recent developments in potential theory which give rise to fast, black-box, tools for problems in electrostatics, heat transfer, wave propagation and fluid dynamics.

Leslie Greengard
Courant Institute of Mathematical Sciences
New York University, USA
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