Advances in High-Order Predictive Modeling

Advances in High-Order Predictive Modeling
Author :
Publisher : CRC Press
Total Pages : 303
Release :
ISBN-10 : 9781040193204
ISBN-13 : 104019320X
Rating : 4/5 (20X Downloads)

Book Synopsis Advances in High-Order Predictive Modeling by : Dan Gabriel Cacuci

Download or read book Advances in High-Order Predictive Modeling written by Dan Gabriel Cacuci and published by CRC Press. This book was released on 2024-12-11 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mathematical framework of the 2nd-BERRU-PM methodology, an acronym that designates the “second-order best-estimate with reduced uncertainties (2nd-BERRU) predictive modeling (PM).” The 2nd-BERRU-PM methodology is fundamentally anchored in physics-based principles stemming from thermodynamics (maximum entropy principle) and information theory, being formulated in the most inclusive possible phase-space, namely the combined phase-space of computed and measured parameters and responses. The 2nd-BERRU-PM methodology provides second-order output (means and variances) but can incorporate, as input, arbitrarily high-order sensitivities of responses with respect to model parameters, as well as arbitrarily high-order moments of the initial distribution of uncertain model parameters, in order to predict best-estimate mean values for the model responses (i.e., results of interest) and calibrated model parameters, along with reduced predicted variances and covariances for these predicted responses and parameters.


Advances in High-Order Predictive Modeling Related Books

Advances in High-Order Predictive Modeling
Language: en
Pages: 303
Authors: Dan Gabriel Cacuci
Categories: Mathematics
Type: BOOK - Published: 2024-12-11 - Publisher: CRC Press

DOWNLOAD EBOOK

Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the m
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
Language: en
Pages: 193
Authors: Marco Petrolo
Categories: Composite materials
Type: BOOK - Published: 2019 - Publisher:

DOWNLOAD EBOOK

This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical effi
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
Language: en
Pages: 198
Authors: Marco Petrolo
Categories: Science
Type: BOOK - Published: 2019-02-24 - Publisher: Springer

DOWNLOAD EBOOK

This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical effi
Nano- and Micro-Electromechanical Systems
Language: en
Pages: 752
Authors: Sergey Edward Lyshevski
Categories: Technology & Engineering
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

DOWNLOAD EBOOK

Society is approaching and advancing nano- and microtechnology from various angles of science and engineering. The need for further fundamental, applied, and ex
Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems
Language: en
Pages: 266
Authors: Qingsong Xu
Categories: Technology & Engineering
Type: BOOK - Published: 2015-08-28 - Publisher: Springer

DOWNLOAD EBOOK

This book explores emerging methods and algorithms that enable precise control of micro-/nano-positioning systems. The text describes three control strategies: