University of Pittsburgh

Recent Advances in Numerical PDEs

A workshop, held at the University of Pittsburgh,
May 5-6, 2025

Due to the prevalence of PDEs in engineering, physics, biology, medicine and the social sciences, numerical solutions have become an indispensable tool in scientific exploration. Their significance lies not only in their descriptive capacity, but also their predictive power to help us understand aspects of the physical world and its complex systems.

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.
Specific topics may include:
- Structure preserving discretizations, emphasizing the enforcement of mass conservation at the discrete level;
- Penalty and artificial compression methods;
- Partitioned and monolithic time-stepping, Structure-fluid interaction;
- Inverse Problems, Data-Driven Modeling & Scientific Computation.

There is no charge for attending the workshop.

Tentative Participant List

Organizers:

John Burkardt, William Layton, Catalin Trenchea.

Location

The conference will be held in the Thackeray Hall, room 427.

Map

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

Directions

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 a self-guided virtual tour of the University of Pittsburgh campus.
The Transit app, available for smart phones, is useful for moving around the city using the bus system, with an up-to-date schedule of the buses, also allowing to buy tickets online.

Parking

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

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 restaurants are given in this map.

Contact:

For questions please contact Catalin Trenchea.


Acknowledgement:

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