Stefan Pickl Livres

The book delves into advanced stochastic dynamic programming models and optimal control problems within networks, emphasizing new methods for discrete control issues and game variants of Markov decision problems. It begins by examining finite state spaces in Markov processes and existing algorithms, then introduces innovative dynamic programming and combinatorial techniques. Subsequent chapters focus on infinite horizon models, game-theoretical approaches, and finite horizon control problems, showcasing algorithms that significantly enhance computational network theory.

In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.