In this work, we address investment decisions in production systems by using real options. As is standard in literature, the stochastic variable is assumed to be normally distribu...
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...