| #5099315 in Books | Springer | 2003-06-30 | Original language:English | PDF # 1 | 9.21 x1.25 x6.14l,2.10 | File type: PDF | 554 pages | ||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||The following reviews are from Google books and may have been corrected for minor grammatical errors:||"One of the great books. I have found every detail I needed and he has done (an) excellent job. I will definitely recommend the book." -- A reader f
This book introduces the evolving area of simulation-based optimization. Since it became possible to analyze random systems using computers, scientists and engineers have sought the means to optimize systems using simulation models. Only recently, however, has this objective had success in practice. Cutting-edge work in computational operations research, including dynamic programming, e.g., Reinforcement Learning (RL) or Approximate Dynamic Programming You can specify the type of files you want, for your device.Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) | Abhijit Gosavi. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
