A new unified framework for designing convex optimization methods with prescribed theoretical convergence estimates: A numerical analysis approach

Kansei Ushiyama, Shun Sato, Takayasu Matsuo

We propose a new unified framework for describing and designing gradient-based convex optimization methods from a numerical analysis perspective. There the key is the new concept o…