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This book is intended for specialists in systems engineering
interested in new, general techniques and for students and
practitioners interested in using these techniques for solving
specific practical problems. For many real-world, complex systems,
it is possible to create easy-to-compute explicit analytical models
instead of time-consuming computer simulations. Usually, however,
analytical models are designed on a case-by-case basis, and there
is a scarcity of general techniques for designing such
easy-to-compute models. This book fills this gap by providing
general recommendations for using analytical techniques in all
stages of system design, implementation, testing, and monitoring.
It also illustrates these recommendations using applications in
various domains, such as more traditional engineering systems,
biological systems (e.g., systems for cattle management), and
medical and social-related systems (e.g., recommender systems).
This book is intended for specialists in systems engineering
interested in new, general techniques and for students and
practitioners interested in using these techniques for solving
specific practical problems. For many real-world, complex systems,
it is possible to create easy-to-compute explicit analytical models
instead of time-consuming computer simulations. Usually, however,
analytical models are designed on a case-by-case basis, and there
is a scarcity of general techniques for designing such
easy-to-compute models. This book fills this gap by providing
general recommendations for using analytical techniques in all
stages of system design, implementation, testing, and monitoring.
It also illustrates these recommendations using applications in
various domains, such as more traditional engineering systems,
biological systems (e.g., systems for cattle management), and
medical and social-related systems (e.g., recommender systems).
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