Hansknecht, Christoph; Kirches, Christian; Manns, Paul - In: Computational Optimization and Applications 88 (2024) 2, pp. 567-601
Gradient-based methods have been highly successful for solving a variety of both unconstrained and constrained nonlinear optimization problems. In real-world applications, such as optimal control or machine learning, the necessary function and derivative information may be corrupted by noise,...
