Variational Methods for Uncertainty Quantification

Download or Read eBook Variational Methods for Uncertainty Quantification PDF written by David Neckels and published by . This book was released on 2005 with total page 348 pages. Available in PDF, EPUB and Kindle.
Variational Methods for Uncertainty Quantification
Author :
Publisher :
Total Pages : 348
Release :
ISBN-10 : OCLC:66912346
ISBN-13 :
Rating : 4/5 (46 Downloads)

Book Synopsis Variational Methods for Uncertainty Quantification by : David Neckels

Book excerpt:


Variational Methods for Uncertainty Quantification Related Books

Variational Methods for Uncertainty Quantification
Language: en
Pages: 348
Authors: David Neckels
Categories: Differential equations
Type: BOOK - Published: 2005 - Publisher:

DOWNLOAD EBOOK

Uncertainty Quantification in Variational Inequalities
Language: en
Pages: 334
Authors: Joachim Gwinner
Categories: Mathematics
Type: BOOK - Published: 2021-12-21 - Publisher: CRC Press

DOWNLOAD EBOOK

Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. Th
Uncertainty Quantification in Variational Inequalities
Language: en
Pages: 405
Authors: Joachim Gwinner
Categories: Mathematics
Type: BOOK - Published: 2021-12-24 - Publisher: CRC Press

DOWNLOAD EBOOK

Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. Th
Novel Uncertainty Quantification Techniques for Problems Described by Stochastic Partial Differential Equations
Language: en
Pages: 442
Authors: Peng Chen
Categories:
Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

Uncertainty propagation (UP) in physical systems governed by PDEs is a challenging problem. This thesis addresses the development of a number of innovative tech
Model Validation and Uncertainty Quantification, Volume 3
Language: en
Pages: 187
Authors: Zhu Mao
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the third vol