Second-order adjoint sensitivity analysis methodology (2nd-asam) for large-scale nonlinear systems: I. Theory
Optimization and Control
2016-01-26 v1 Numerical Analysis
Abstract
This work presents the Second-Order Sensitivity Analysis Methodology (2nd-ASAM) for nonlinear systems. This methodology yields exactly and efficiently the second-order functional derivatives of system responses (associated with physical, engineering, biological, etc., systems) to the system's model parameters.
Cite
@article{arxiv.1601.06609,
title = {Second-order adjoint sensitivity analysis methodology (2nd-asam) for large-scale nonlinear systems: I. Theory},
author = {Dan Gabriel Cacuci},
journal= {arXiv preprint arXiv:1601.06609},
year = {2016}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1411.6157