A Toolbox for Digital Twins is popular PDF and ePub book, written by Mark Asch in 2022-08-04, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A Toolbox for Digital Twins can be Read Online from any device for your convenience.
A Toolbox for Digital Twins Book PDF Summary
This book brings together the mathematical and numerical frameworks needed for developing digital twins. Starting from the basics—probability, statistics, numerical methods, optimization, and machine learning—and moving on to data assimilation, inverse problems, and Bayesian uncertainty quantification, the book provides a comprehensive toolbox for digital twins. Emphasis is also placed on the design process, denoted as the “inference cycle,” the aim of which is to propose a global methodology for complex problems. Readers will find guidelines and decision trees to help them choose the right tools for the job; a comprehensive reference section with all recent methods, covering both model-based and data-driven approaches; a vast selection of examples and all accompanying code; and a companion website containing updates, case studies, and extended material. A Toolbox for Digital Twins: From Model-Based to Data-Driven is for researchers and engineers, engineering students, and scientists in any domain where data and models need to be coupled to produce digital twins.
Detail Book of A Toolbox for Digital Twins PDF
- Author : Mark Asch
- Release : 04 August 2022
- Publisher : SIAM
- ISBN : 9781611976977
- Genre : Mathematics
- Total Page : 857 pages
- Language : English
- PDF File Size : 9,6 Mb
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