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Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series)

Abhijit Gosavi




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 | #3338419 in Books |  Ingramcontent |  2016-09-10 |  2016-09-10 | Original language:English | PDF # 1 |  9.25 x1.21 x6.10l,1.64 | File type: PDF | 508 pages

 | Simulation Based Optimization Parametric Optimization Techniques and Reinforcement Learning Operations Research Computer Science Interfaces Series

||1 of 1 people found the following review helpful.| The language used is very simple and one best thing about the book is that the flow of ...|By Customer|Very comprehensive book ! The language used is very simple and one best thing about the book is that the flow of topics, which worked very well for me.|1 of 2 people found the following review helpful.| The material was described beautifully and in|From the Back Cover||Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.

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