Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem

Dan G. Cacuci

doi:10.1016/j.jcp.2014.11.030

Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem

Dan G. Cacuci

University of South Carolina

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	700-717
Journal	Journal of Computational Physics
Volume	284
Early online date	29 Nov 2014
DOIs	https://doi.org/10.1016/j.jcp.2014.11.030
Publication status	Published - 1 Mar 2015
Externally published	Yes

Keywords

Second-order adjoint sensitivity analysis methodology (2nd-ASAM)
Second-order functional derivatives
Response covariances
Response skewness
Particle diffusion

Access to Document

10.1016/j.jcp.2014.11.030

Cite this

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title = "Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem",

keywords = "Second-order adjoint sensitivity analysis methodology (2nd-ASAM), Second-order functional derivatives, Response covariances, Response skewness, Particle diffusion",

author = "Cacuci, \{Dan G.\}",

year = "2015",

month = mar,

day = "1",

doi = "10.1016/j.jcp.2014.11.030",

language = "English",

volume = "284",

pages = "700--717",

journal = "Journal of Computational Physics",

issn = "0021-9991",

publisher = "Academic Press Inc.",

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Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem. / Cacuci, Dan G.
In: Journal of Computational Physics, Vol. 284, 01.03.2015, p. 700-717.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem

AU - Cacuci, Dan G.

PY - 2015/3/1

Y1 - 2015/3/1

KW - Second-order adjoint sensitivity analysis methodology (2nd-ASAM)

KW - Second-order functional derivatives

KW - Response covariances

KW - Response skewness

KW - Particle diffusion

U2 - 10.1016/j.jcp.2014.11.030

DO - 10.1016/j.jcp.2014.11.030

M3 - Article

SN - 0021-9991

VL - 284

SP - 700

EP - 717

JO - Journal of Computational Physics

JF - Journal of Computational Physics

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