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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: I. Computational methodology

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: I. Computational methodology. / Cacuci, Dan G.
In: Journal of Computational Physics, Vol. 284, 01.03.2015, p. 687-699.

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: I. Computational methodology', Journal of Computational Physics, vol. 284, pp. 687-699. https://doi.org/10.1016/j.jcp.2014.12.042

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: I. Computational methodology. Journal of Computational Physics, 284, 687-699. https://doi.org/10.1016/j.jcp.2014.12.042

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: I. Computational methodology. Journal of Computational Physics. 284:687-699. https://doi.org/10.1016/j.jcp.2014.12.042

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: I. Computational methodology". Journal of Computational Physics. 2015, 284. 687-699. https://doi.org/10.1016/j.jcp.2014.12.042

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: I. Computational methodology. Journal of Computational Physics. 2015 Mar 1;284:687-699. Epub 2015 Jan 5. doi: 10.1016/j.jcp.2014.12.042

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: I. Computational methodology. In: Journal of Computational Physics. 2015 ; Vol. 284. pp. 687-699.

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: I. Computational methodology

AU - Cacuci, Dan G.

PY - 2015/3/1

Y1 - 2015/3/1

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

KW - Exact and efficient computation of first- and second-order functional derivatives

KW - Large-scale systems

U2 - 10.1016/j.jcp.2014.12.042

DO - 10.1016/j.jcp.2014.12.042

M3 - Article

VL - 284

SP - 687

EP - 699

JO - Journal of Computational Physics

JF - Journal of Computational Physics

SN - 0021-9991

ER -