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An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids.
Matthew J. Zahr
Kevin T. Carlberg
Drew P. Kouri
Published in:
SIAM/ASA J. Uncertain. Quantification (2019)
Keyphrases
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optimization method
cost function
optimization algorithm
energy function
sensitivity analysis
objective function
closed form
linear models
linear model
optimization procedure
geometric constraints
approximation methods