z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom