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.

doi:10.1016/j.jcp.2014.11.030

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

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Publication Date:: Sun Mar 01 00:00:00 EST 2015

Sponsoring Org.:: USDOE

OSTI Identifier:: 1244281

Grant/Contract Number:: 15540-FC59

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Journal of Computational Physics

Additional Journal Information:: Journal Name: Journal of Computational Physics Journal Volume: 284 Journal Issue: C; Journal ID: ISSN 0021-9991

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

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                    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.  United States: N. p., 2015. 
Web.  doi:10.1016/j.jcp.2014.11.030.

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                    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.  United States.  https://doi.org/10.1016/j.jcp.2014.11.030

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                    Cacuci, Dan G. Sun .  
"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".  United States.  https://doi.org/10.1016/j.jcp.2014.11.030.

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@article{osti_1244281,

  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},

  author       = {Cacuci, Dan G.},

  abstractNote = {},

  doi          = {10.1016/j.jcp.2014.11.030},

  journal      = {Journal of Computational Physics},

  number       = C,

  volume       = 284,

  place        = {United States},

  year         = {Sun Mar 01 00:00:00 EST 2015},

  month        = {Sun Mar 01 00:00:00 EST 2015}

}

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