A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods
- Journal Article
Journal / seriesJournal of Computational Physics
Pages / Article No.
SubjectUncertainty quantification; Curse of dimensionality; Generalized sparse grid; Hierarchical surpluses; Reduced basis method; Adaptive greedy algorithm; Weighted a posteriori error bound
NotesReceived 11 February 2014, Revised 10 April 2015, Accepted 2 June 2015, Available online 16 June 2015.
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