Computational Math Seminar - Mike Kirby

Mike Kirby, School of Computing, University of Utah

Challenges and insights from the application of spectral/hp methods to problems in computation medicine
 
Spectral/hp element methods for discretizing engineering-based PDE problems have been lauded for combining geometric (meshing) flexibility with superior convergence behavior.  Since their inception in the 1980s, there has been growing interest in their development and usage for solving real-world (i.e. not merely academic) engineering problems.  In spite of their relative maturity, each pivot towards trying to solve a new class of problems or towards exploiting newly available hardware opens up the possibility new research into the formulation, development and/or implementation of these methods.  In this talk, we will present our work on using spectral/hp element methods to solve problems related to computational medicine.  We will focus on three challenge areas:  solution positivity, linear system preconditioning, and hardware acceleration.  We will show that moving into applications areas not only benefits the area to which one applies spectral/hp element methods, but also provides return benefits on our understanding and implementations of these methods.
 

Friday, November 16, 2018 at 11:00am to 12:00pm

Engineering Center, ECCR 257
1111 Engineering Drive, Boulder, CO 80309

Event Type

Colloquium/Seminar

Interests

Science & Technology, Research & Innovation

Audience

Faculty, Students, Graduate Students, Postdoc

College, School & Unit

Engineering & Applied Science

Group
Applied Mathematics
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