Sensitivity analysis based dimension reduction of multiscale models
DOI10.1016/j.matcom.2019.10.013OpenAlexW2941329205WikidataQ126985476 ScholiaQ126985476MaRDI QIDQ1997923
Giovanni E. Comi, Alfons G. Hoekstra, Anna Nikishova
Publication date: 6 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.11403
sensitivity analysisdimension reductionuncertainty quantificationmultiscale modelcoupled modelssobol sensitivity indices
Generalities, axiomatics, foundations of continuum mechanics of solids (74Axx) General models, approaches, and methods in mechanics of particles and systems (70Gxx) General and miscellaneous specific topics (00Axx)
Cites Work
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- Sensitivity analysis: a review of recent advances
- Foundations of distributed multiscale computing: formalization, specification, and analysis
- Uncertainty quantification. An accelerated course with advanced applications in computational engineering
- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
- A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing
- A comparison of tests of equality of variances
- Derivative based global sensitivity measures and their link with global sensitivity indices
- Performance of distributed multiscale simulations
- A Framework for Multiscale and Multiscience Modeling and Numerical Simulations
- Analysis of multiscale methods for stochastic differential equations
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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