عنوان

Uncertainty modeling for engineering applications /

(Number (ISBN

3030048705

(Number (ISBN

3030048713

(Number (ISBN

9783030048709

(Number (ISBN

9783030048716

Erroneous ISBN

3030048691

Erroneous ISBN

9783030048693

Title Proper

Uncertainty modeling for engineering applications /

General Material Designation

[Book]

First Statement of Responsibility

Flavio Canavero, editor.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Series Title

PoliTO Springer series

Text of Note

Quadrature Strategies for Constructing Polynomial Approximations -- Weighted reduced order methods for parametrized partial differential equations with random inputs -- A new approach for state estimation -- Data-efficient Sensitivity Analysis with Surrogate Modeling -- Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival based Localization -- Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate -- Stochastic Dosimetry for Radio-Frequency exposure assessment in realistic scenarios -- On the Various Applications of Stochastic Collocation in Computational Electromagnetics -- Reducing the statistical complexity of EMC testing: improvements for radiated experiments using stochastic collocation and bootstrap methods -- Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatibility Models -- Measurement uncertainty cannot always be calculated.

0

Text of Note

This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from different fields, the book demonstrates the unifying property of UQ theme that can be profitably adopted to solve problems of different domains. The collection in one place of different methodologies for different applications has the great value of stimulating the cross-fertilization and alleviate the language barrier among areas sharing a common background of mathematical modeling for problem solution. The book is designed for researchers, professionals and graduate students interested in quantitatively assessing the effects of uncertainties in their fields of application. The contents build upon the workshop "Uncertainty Modeling for Engineering Applications" (UMEMA 2017), held in Torino, Italy in November 2017.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030048709

Title

Uncertainty modeling for engineering applications.

International Standard Book Number

9783030048693

Engineering-- Statistical methods.

Reliability (Engineering)-- Statistical methods.

Risk assessment-- Statistical methods.

Uncertainty (Information theory)

Engineering-- Statistical methods.

Reliability (Engineering)-- Statistical methods.

Risk assessment-- Statistical methods.

Uncertainty (Information theory)

COM004000

UYQ

UYQ

Number

Edition

Class number

Book number

Canavero, Flavio

Date of Transaction

20200823081015.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y