Time Filters and Predictive Accuracy

The problem of numerical solution of complicated, coupled systems of evolution equations arises in nearly every application of scientific and technological importance and has spurred the development of much of modern numerical analysis. This has proven to be an area where appetite for better algorithms and greater computational resources expands to match both. Current practice often involves using either splitting methods or different time discretizations for different terms representing different physical effects, considered herein. The resulting implicit-explicit (IMEX) combinations of methods are beyond the powerful theory of linear multistep methods and must be analyzed method by method until a systematic theory develops. These combinations lead to new computational artifacts for which novel time filters and stabilizations have developed. The workshop aims to promote the direct interaction between experts from different communities, link rigorous numerical analysis and analysis of PDEs with current problems of impact.

May 29, 2019 - 9:00am to May 30, 2019 - 5:00pm

Location and Address

The location of the conference will be the Frick Fine Arts Building, in the Frick Fine Arts Auditorium.

http://www.pitt.edu/~trenchea/2019_TimeFiltersAndPredictiveAccuracy.html

Directions and Parking Information

Speaker Information

 

  • Paul D. Williams, Royal Society University Research Fellow Department of Meteorology, University of Reading
  • Adrian T. Hill, University of Bath, Mathematical Sciences
  • Peter Minev (University of Alberta)
  • Roger Lewandowski (Université de Rennes 1)
  • Thomas Bewley (University of California San Diego)
  • Traian Iliescu (Virginia Tech)
  • Alessandro Colombo (Università degli studi di Bergamo)
  • Nan Jiang (Missouri University of Science and Technology)
  • Michael Schneier (University of Pittsburgh)
  • Anyastassia Seboldt (University of Notre Dame)
  • Michael McLaughlin (University of Pittsburgh)
  • Victor DeCaria (University of Pittsburgh)
  • Robert Dolan (University of Connecticut)