Uncertainty Quantification and Stochastic Modeling with Matlab

This book PDF is perfect for those who love Mathematics genre, written by Eduardo Souza de Cursi and published by Elsevier which was released on 09 April 2015 with total hardcover pages 456. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Uncertainty Quantification and Stochastic Modeling with Matlab books below.

Uncertainty Quantification and Stochastic Modeling with Matlab
Author : Eduardo Souza de Cursi
File Size : 52,7 Mb
Publisher : Elsevier
Language : English
Release Date : 09 April 2015
ISBN : 9780081004715
Pages : 456 pages
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Uncertainty Quantification and Stochastic Modeling with Matlab by Eduardo Souza de Cursi 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. Discusses the main ideas of Stochastic Modeling and Uncertainty Quantification using Functional Analysis Details listings of Matlab® programs implementing the main methods which complete the methodological presentation by a practical implementation Construct your own implementations from provided worked examples

Uncertainty Quantification and Stochastic Modeling with Matlab

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

Get Book
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