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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

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

Standard Standard

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

HarvardHarvard

Cacuci, DG 2015, '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', Journal of Computational Physics, vol. 284, pp. 700-717. https://doi.org/10.1016/j.jcp.2014.11.030

APA

Cacuci, D. G. (2015). 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. Journal of Computational Physics, 284, 700-717. https://doi.org/10.1016/j.jcp.2014.11.030

CBE

Cacuci DG. 2015. 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. Journal of Computational Physics. 284:700-717. https://doi.org/10.1016/j.jcp.2014.11.030

MLA

Cacuci, Dan G. "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". Journal of Computational Physics. 2015, 284. 700-717. https://doi.org/10.1016/j.jcp.2014.11.030

VancouverVancouver

Cacuci DG. 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. Journal of Computational Physics. 2015 Mar 1;284:700-717. Epub 2014 Nov 29. doi: 10.1016/j.jcp.2014.11.030

Author

Cacuci, Dan G. / 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. In: Journal of Computational Physics. 2015 ; Vol. 284. pp. 700-717.

RIS

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

VL - 284

SP - 700

EP - 717

JO - Journal of Computational Physics

JF - Journal of Computational Physics

SN - 0021-9991

ER -