skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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

Authors:
ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1244281
Grant/Contract Number:  
15540-FC59
Resource Type:
Journal Article: 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

Citation Formats

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.
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. doi:10.1016/j.jcp.2014.11.030.
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. doi:10.1016/j.jcp.2014.11.030.
@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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.jcp.2014.11.030

Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

Save / Share: