Abstract
The project focuses on proximal gradient methods, seeking to accelerate their convergence through spectral variants. The main objectives include exploring spectral methods for non-convex functions, identifying new competitive applications, and developing techniques that combine spectral strategies with inertia, aiming to optimize the resolution of minimization problems with complex regula…