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Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients.
Joakim Beck
Fabio Nobile
Lorenzo Tamellini
Raúl Tempone
Published in:
Comput. Math. Appl. (2014)
Keyphrases
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computational cost
empirical studies
benchmark datasets
differential equations
data sets
learning algorithm
bayesian networks
preprocessing
significant improvement
dynamic programming
machine learning methods
partial differential equations
optimization methods
optimal control
sampled data
weighting coefficients