tests to modern computer algorithms, a description of two basic computer models with all constants and

computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with

complexity, making the learning of detailed techniques and algorithms easier. Whether you are a student

, genetic algorithms, etc. to product-process design and optimization are illustrated through case studies

-- Evolutionary algorithms -- Nonlinear Kalman-filter estimation -- Probabilistic methods -- Gamma-test based

the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that