An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization

Humberto Gimenes Macedo, Luís Felipe Bueno

In many applications, gradient evaluations are inherently approximate, motivating the development of optimization methods that remain reliable under inexact first-order information…