This book covers the practice of running a computer experiment, for which the author is uniquely qualified: not only has he contributed to the scientific foundations of the topic, but, as both an academic and a consultant, he has designed and run a wide variety of computer experiments, in environmental science, physics, and industrial applications. The main topics for computer experiments are uncertainty propagation (how does uncertainty in the simulator inputs affect uncertainty in the outputs), sensitivity analysis (which inputs matter for which outputs), tuning and calibration (learning about the inputs from measurements on the system), prediction (of the system, possible under a variety of interventions), and optimization. Throughout the book, the focus is on practical issues, using consistent notation and definitions, there is substantial practical guidance on running a computer experiment, including organization and communication. Code snippets, in R, are used to illustrate algorithms, and the layout of script files.
This practical guide will be essential reading for any scientist or engineer who performs computer simulations, enabling researchers to develop and perform more robust experiments more easily and understand how their model functions.
Key Features:
| ISBN: | 9780750353540 |
| Publication date: | 30th December 2025 |
| Author: | Jonathan Rougier |
| Publisher: | IOP Publishing an imprint of Institute of Physics Publishing |
| Format: | Hardback |
| Pagination: | 150 pages |
| Series: | IOP Ebooks |
| Genres: |
Computer modelling and simulation Probability and statistics |
This book covers the practice of running a computer experiment, for which the author is uniquely qualified: not only has he contributed to the scientific foundations of the topic, but, as both an academic and a consultant, he has designed and run a wide variety of computer experiments, in environmental science, physics, and industrial applications. The main topics for computer experiments are uncertainty propagation (how does uncertainty in the simulator inputs affect uncertainty in the outputs), sensitivity analysis (which inputs matter for which outputs), tuning and calibration (learning about the inputs from measurements on the system), prediction (of the system, possible under a variety of interventions), and optimization. Throughout the book, the focus is on practical issues, using consistent notation and definitions, there is substantial practical guidance on running a computer experiment, including organization and communication. Code snippets, in R, are used to illustrate algorithms, and the layout of script files.
This practical guide will be essential reading for any scientist or engineer who performs computer simulations, enabling researchers to develop and perform more robust experiments more easily and understand how their model functions.
Key Features:
Computer Experiments features in the following genres: Computer modelling and simulation, Probability and statistics
Computer Experiments is available in Hardback
Computer Experiments was written by Jonathan Rougier and published by IOP Publishing an imprint of Institute of Physics Publishing
Computer Experiments has 150 pages
Yes it is part of IOP Ebooks series