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Monte Carlo Simulation: The Art of Random Process Characterization,Used
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There are many textbooks devoted to the theory behind Monte Carlo methods. More often than not, these are heavy on theory and light on example. Rarely do they include the examples in their entirety, mostly presenting the final results in summary form. The aim of this text is to be light on theory and heavy on example. Each example is included in its entirety: input, output, and source code or spreadsheet. If you work through all the examples, you should be able to simulate whatever process is needed.
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- Q: What is the main focus of 'Monte Carlo Simulation: The Art of Random Process Characterization'? A: The book focuses on providing practical examples of Monte Carlo methods, emphasizing complete examples with input, output, and source code or spreadsheets, rather than heavy theory.
- Q: Who is the author of this book? A: The author of 'Monte Carlo Simulation: The Art of Random Process Characterization' is D. James Benton.
- Q: How many pages does the book contain? A: The book contains 117 pages.
- Q: What is the binding type of this book? A: This book is available in paperback binding.
- Q: When was this book published? A: The book was published on March 16, 2018.
- Q: Is this book suitable for beginners in Monte Carlo simulation? A: Yes, this book is designed to be user-friendly and focuses on practical examples, making it suitable for beginners.
- Q: What category does this book fall under? A: The book falls under the category of Mathematical & Statistical.
- Q: Does the book include source code or spreadsheets for the examples? A: Yes, the book includes source code or spreadsheets along with the examples provided.
- Q: What condition is the book in? A: The book is in new condition.
- Q: Can this book help with simulating various processes? A: Yes, by working through the examples, readers should be able to simulate various processes effectively.