GOAL-ORIENTED MODEL ADAPTIVITY IN STOCHASTIC ELASTODYNAMICS: SIMULTANEOUS CONTROL OF DISCRETIZATION, SURROGATE MODEL AND SAMPLING ERRORS
Author(s) -
Pedro Bonilla-Villalba,
Susanne Claus,
Abhishek Kundu,
Pierre Kerfriden
Publication year - 2020
Publication title -
international journal for uncertainty quantification
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 21
eISSN - 2152-5099
pISSN - 2152-5080
DOI - 10.1615/int.j.uncertaintyquantification.2020031735
Subject(s) - discretization , surrogate model , monte carlo method , finite element method , computer science , propagation of uncertainty , mathematical optimization , uncertainty quantification , measure (data warehouse) , sampling (signal processing) , mathematics , algorithm , statistics , mathematical analysis , physics , filter (signal processing) , database , computer vision , thermodynamics , machine learning
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