Optimal Transport and Mean Field Games with Applications and Computations
|
Organizer(s): |
Name:
|
Affiliation:
|
Country:
|
Zixuan Cang
|
North Carolina State University
|
USA
|
Wuchen Li
|
University of South Carolina
|
USA
|
Yanxiang Zhao
|
George Washington University
|
USA
|
|
|
|
|
|
|
|
|
Abstract:
| | Optimal Transport (OT) and Mean Field Game (MFG) study strategic decision making in large populations where the individual players interact with each other and each individual is effected only by certain averaged quantities of all the other individuals. They have become central topics in the past decade both theoretically and numerically. While OT and MFG have been successfully applied in areas such as social sciences, image science and machine learning sampling problems, there is an urgent need to develop new model, design stable and efficient numerical schemes and find new applications for OT and MFG. Typical examples include cell biology, data science, geology, and epidemiology. This Minisymposium aims to bring together researchers to discuss their recent advances in techniques, insights, and understanding to OT/MFG arising in several applications such as life science and data science. |
|
|
List of approved abstract |
|
|
|
|
