Johannes Jahn Knihy

Focusing on order analysis and deep learning, this book explores crucial links to optimization, including nonlinear, vector, and set optimization. It provides a comprehensive review of foundational concepts, followed by two main sections that delve deeper into these topics, making it a valuable resource for understanding the interplay between deep learning and optimization techniques.

Focusing on optimization theory within normed spaces, this book delves into crucial topics such as existence results, differentiability concepts, and optimality conditions. It explores the contingent cone and provides a generalization of the Lagrange multiplier rule, alongside duality theory. Additionally, the text examines extended semidefinite optimization and investigates linear quadratic and time minimal control problems, making it a comprehensive resource for understanding advanced optimization concepts.