The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume II Overcoming the Curse of Dimensionality: Large-Scale Application /

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. The C-ASAM framework is set in...

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Hlavní autoři:	Cacuci, Dan Gabriel (Autor), Fang, Ruixian (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Vydání:	1st ed. 2023.
Témata:	Mathematical physics. Computer simulation. Mathematical models. Statistics . Energy policy. Energy and state. Engineering mathematics. Engineering > Data processing. Nuclear physics. Computational Physics and Simulations. Mathematical Modeling and Industrial Mathematics. Statistical Theory and Methods. Energy Policy, Economics and Management. Mathematical and Computational Engineering Applications. Nuclear Physics.
On-line přístup:	https://doi.org/10.1007/978-3-031-19635-5
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