Abstract: Time-variant quadratic programming (TVQP) has widespread applications and often involves equality, inequality, and bound constraints. An effective solver for TVQP problems is zeroing neural ...

Abstract: Combining model predictive control (MPC) with control barrier functions (CBFs) is a promising solution for addressing safety-critical control problems in robot navigation scenarios. The ...

DD-NM-ROM integrates nonlinear-manifold reduced order models (NM-ROMs) with domain decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear-manifold by training a ...

This is a collection of lecture notes and programming exercises carried out as part of the Computational Physics 2 course at Yachay Tech University from February to June 2025. This is an advanced ...

Our MA program is highly flexible and can be completed in one year, three semesters, or two years. Most students follow one of these sequences, though others are an option.