Springer Minimax and Applications: 4 - Nonconvex Optimization

Minimax and Applications: 4 provides a deep look into the principles of minimax theory. This text is designed for researchers and professionals working in fields where optimization and computational complexity are central to their work. By focusing on the formulation of minimax problems, the book addresses how to handle functions defined on the product of X and Y spaces. Readers will explore the fundamental issues surrounding minimax problems, including the establishment of necessary and sufficient conditions for equality in min-max and max-min functions. The content covers foundational concepts like the classical minimax theorem of von Neumann and explores duality theory in linear settings. This volume serves as a technical resource for those studying game theory and advanced mathematical optimization techniques.