About AbdulRahman Alharbi AbdulRahman Alharbi Ph.D. Student, Applied Mathematics and Computational Science AbdulRahman Alharbi is a Ph.D. candidate in Applied Mathematics and Computational Sciences (AMCS), KAUST. He is a membr of the Mean-Field Games (MFG) Research group led by Prof. Diogo Gome and a Teaching Assistant in the Mathematics Department at the Islamic University of Al-Madinah. Events Presented Events May 4 - May 10, 2025 First-Order Mean-Field Games with Entry-Exit Flow Constraints and Contact-Set Conditions AbdulRahman Alharbi, Ph.D. Student, Applied Mathematics and Computational Science May 4, 12:30 - 14:30 B9 L4 R4225; Zoom Meeting 95071981979 mean-field models free boundary problems This dissertation develops and rigorously analyzes first-order mean-field game models incorporating novel mixed boundary conditions to realistically represent population dynamics in bounded domains by eliminating unrealistic entry phenomena that are typically induced by standard Dirichlet conditions.
First-Order Mean-Field Games with Entry-Exit Flow Constraints and Contact-Set Conditions AbdulRahman Alharbi, Ph.D. Student, Applied Mathematics and Computational Science May 4, 12:30 - 14:30 B9 L4 R4225; Zoom Meeting 95071981979 mean-field models free boundary problems This dissertation develops and rigorously analyzes first-order mean-field game models incorporating novel mixed boundary conditions to realistically represent population dynamics in bounded domains by eliminating unrealistic entry phenomena that are typically induced by standard Dirichlet conditions.
Related Sites Applied Mathematics and Computational Science (AMCS) Mean-field Games and Nonlinear PDE (MFG) Related Content Events 1
