Ebooks de Dan Gabriel Cacuci en PDF et EPUB

4 Livre(s)
Télécharger le livre : The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume II
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The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume II
Dan Gabriel Cacuci , Ruixian Fang
This text describes a comprehensive adjoint sensitivity analysis methodology (nth-CASAM), developed by the author, which enablesthe efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale...

Editeur : Springer
Parution : 2023-04-26

PDF, ePub

168,79 €
Télécharger le livre : The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III
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The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III
Dan Gabriel Cacuci
This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale systems....

Editeur : Springer
Parution : 2023-04-11

PDF, ePub

189,89 €
Télécharger le livre : The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I
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The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I
Dan Gabriel Cacuci
The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to...

Editeur : Springer
Parution : 2022-07-19

PDF, ePub

158,24 €
Télécharger le livre : BERRU Predictive Modeling
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BERRU Predictive Modeling
Dan Gabriel Cacuci
This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact. Therefore, knowing only the nominal values of experimentally measured or computed quantities is insufficient for...

Editeur : Springer
Parution : 2018-12-29

PDF

168,79 €