University of Pittsburgh

Computational Mathematics trends in science and engineering

A workshop, held at the University of Pittsburgh,
CANCELLED (May 21-22, 2020)

The problem of numerical solution of complicated, coupled systems of evolution equations arises in nearly every application of scientific and technological importance, from aerodynamics to material sciences, acoustics, climate change, groundwater transport, image processing, risk assessment and uncertainty quantification.

This workshop brings together experts from a wide range of mathematical communities to present their work in analysis, algorithmics, numerics, and computation applied to science and engineering applications.

There is no charge for attending the workshop, but interested parties should register.

Tentative Participant List


John Burkardt, William Layton, Catalin Trenchea.


The conference will be held in the Cathedral of Learning.



Thursday, May 21      
8:45-9:00am Coffee
9:00-9:10am Welcome

Friday, May 22       
9:00-9:10am Coffee

Local Information and Accommodations


A map of various landmarks on campus can be found here.


For hotel reservations, please contact Phillip Fry by email or by phone at 412-624-9072.


The Pittsburgh International Airport (PIT) is 20.5 miles away from the University of Pittsburgh (25-45 minutes driving time depending on the time of day). There are several options to get to campus from the airport. See this link for general driving directions to the University of Pittsburgh.


If you need to park on campus, you might want to park at the following garages:

Dining Options

There are several dining options throughout the Oakland area. I personally recommend Ali Baba (Middle Eastern), Peter's Pub (American), Fuel and Fuddle (American), or the Spice Island Tea House (Asian). The locations of these restarants are given in this map.


For questions please contact Catalin Trenchea or Phillip Fry .


The organizers gratefully acknowledge the help and financial support provided by The University of Pittsburgh Mathematical Research Center