On High-order Model Regularization for Constrained Optimization
In two recent papers regularization methods based on Taylor polynomial models for minimization were proposed that only rely on H\”older conditions on the higher order employed derivatives. Grapiglia and Nesterov considered cubic regularization with a sufficient descent condition that uses the current gradient and resembles the classical Armijo’s criterion. Cartis, Gould, and Toint used Taylor … Read more