Maseeh Mathematics + Statistics Colloquium: Automated Modeling with FEniCS
Friday, January 10, 2020 - 3:15pm

 The Maseeh Mathematics and Statistics Colloquium Series* presents


 L. Ridgway Scott, Ph.D.

Professor Emeritus, The University of Chicago


Automated Modeling with FEniCS




The FEniCS Project develops both fundamental software components and end-user codes to automate numerical solution of partial differential equations (PDEs). FEniCS enables users to translate scientific models quickly into efficient finite element code and also offers powerful capabilities for more experienced programmers.  FEniCS and other automated software are catalyzing a change for PDEs similar to the one that Matlab did for linear algebra.


FEniCS uses the variational formulation of PDEs as a language to define models. We will explain the variational formulations for simple problems and then show how they can be extended to simulate fluid flow. The variational formulation also provides a firm theoretical foundation for understanding PDEs. We argue that combining the theory with practical coding provides a way to teach PDEs, their numerical solution, and associated modeling without requiring extensive mathematical prerequisites. We demonstrate that this approach requires no background in PDEs or finite elements, only multi-variate calculus.


FEniCS also provides a productive platform for research. We will present examples where it has been used to answer questions that would have required months of programming using traditional techniques. 


            Bio: RIDGWAY SCOTT is professor emeritus at the University of Chicago. He was been Professor of Computer Science and of Mathematics at the University of Chicago from 1998 to 2017, and the Louis Block Professor since 2001. He obtained the B. S. degree (Magna Cum Laude) from Tulane University in 1969 and the Ph. D. degree in Mathematics from the Massachusetts Institute of Technology in 1973.  His thesis and later research was devoted to fundamental properties of the finite element method, the most widely used computational technique for engineering design and analysis.


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Friday, January 10, 2020 at 3:15pm

Fariborz Maseeh Hall room 462, 1855 SW Broadway

Light refreshments served


The faculty host of this speaker is Dr. Jeffrey Ovall