Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering by Christian Soize

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational…

byChristian Soize

Kobo ebook | April 24, 2017

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This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. 

Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available. 

This book is intended to be a graduate-level textbook for students as well as professionals interested in the theory, computation, and applications of risk and prediction in science and engineering fields.

Title:Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational…Format:Kobo ebookPublished:April 24, 2017Publisher:Springer International PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319543393

ISBN - 13:9783319543390

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