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Geometric a‐priori evaluation of sample designs
Author(s) -
Daum Rebecca
Publication year - 2019
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201900276
Subject(s) - latin hypercube sampling , sample (material) , a priori and a posteriori , computer science , sampling (signal processing) , hypercube , crash , sample size determination , algorithm , monte carlo method , parallel computing , mathematics , statistics , programming language , philosophy , chemistry , epistemology , chromatography , filter (signal processing) , computer vision
Highly complex FEM models for crash simulations require large computing capacities. A meaningful sample design is crucial for applications with large sensitivities. Latin Hypercube sampling techniques allow for a flexible number of sample points without specifying the required number of sample points for specific applications. We present an a‐priori technique for evaluating sample designs for highly sensitive applications.