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
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Publication:729046
DOI10.1016/j.jcp.2014.12.042zbMath1352.65130arXiv1411.6157OpenAlexW1989122826MaRDI QIDQ729046
Publication date: 20 December 2016
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1411.6157
large-scale systemsexact and efficient computation of first- and second-order functional derivativessecond-order adjoint sensitivity analysis methodology (2nd-ASAM)
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First-order and second-order adjoint methods for parameter identification problems with an application to the elasticity imaging inverse problem ⋮ 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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