Uncertainty Quantification and Stochastic Modeling with Matlab is popular PDF and ePub book, written by Eduardo Souza de Cursi in 2015, it is a fantastic choice for those who relish reading online the Stochastic models genre. Let's immerse ourselves in this engaging Stochastic models book by exploring the summary and details provided below. Remember, Uncertainty Quantification and Stochastic Modeling with Matlab can be Read Online from any device for your convenience.
Uncertainty Quantification and Stochastic Modeling with Matlab Book PDF Summary
Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlab illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study
Detail Book of Uncertainty Quantification and Stochastic Modeling with Matlab PDF
- Author : Eduardo Souza de Cursi
- Release : 28 June 2024
- Publisher : Unknown
- ISBN : OCLC:1336710255
- Genre : Stochastic models
- Total Page : 0 pages
- Language : English
- PDF File Size : 19,8 Mb
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