Efficient Subspace Methods-Based Algorithms for Performing Sensitivity, Uncertainty, and Adaptive Simulation of Large-Scale Computational Models
Author:
Affiliation:
1. North Carolina State University, Department of Nuclear Engineering P. O. Box 7909, Raleigh, North Carolina 27695-7909
Publisher
Informa UK Limited
Subject
Nuclear Energy and Engineering
Link
https://www.tandfonline.com/doi/pdf/10.13182/NSE159-256
Reference29 articles.
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2. Sensitivity Theory for General Systems of Nonlinear Equations
3. Sensitivity theory for nonlinear systems. I. Nonlinear functional analysis approach
4. Sensitivity theory for nonlinear systems. II. Extensions to additional classes of responses
5. Sensitivity & Uncertainty Analysis, Volume 1
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