Optimization of artificial viscosity in production codes based on Gaussian Regression surrogate models
Author(s) -
Vitaliy Gyrya,
Evan Lieberman,
Mark Kenamond,
Mikhail Shashkov
Publication year - 2022
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1881779
Subject(s) - surrogate model , selection (genetic algorithm) , curse of dimensionality , interpolation (computer graphics) , computation , computer science , regression , kriging , set (abstract data type) , mathematical optimization , gaussian process , sampling (signal processing) , mathematics , algorithm , gaussian , artificial intelligence , machine learning , statistics , filter (signal processing) , motion (physics) , physics , quantum mechanics , programming language , computer vision
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