Stochastic Operations Research
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This book covers a one semester course in stochastic operations research at the undergraduate level for students who have had an undergraduate Calculus based course in probability. It covers the theory behind queues and queuing networks, then moves on to how to handle more complex models using Discrete Event Simulations and Petri Nets. It goes on to discuss decision and game theory, forecasting, and inventory management. The book does not assume prior programming knowledge, and introduces the reader to R in order to do calculations and simulations.
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Bol
This book covers a one semester course in stochastic operations research at the undergraduate level for students who have had an undergraduate Calculus based course in probability. It covers the theory behind queues and queuing networks, then moves on to how to handle more complex models using Discrete Event Simulations and Petri Nets. It goes on to discuss decision and game theory, forecasting, and inventory management. The book does not assume prior programming knowledge, and introduces the reader to R in order to do calculations and simulations.
Bol
This book covers a one semester course in stochastic operations research at the undergraduate level for students who have had an undergraduate Calculus based course in probability. It covers the theory behind queues and queuing networks, then moves on to how to handle more complex models using Discrete Event Simulations and Petri Nets. It goes on to discuss decision and game theory, forecasting, and inventory management. The book does not assume prior programming knowledge, and introduces the reader to R in order to do calculations and simulations.
AmazonPages: 382, Hardcover, Mlh Data Science
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