Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations-Reference-Cited by-同舟云学术

Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations

Published:2019 Issue: Volume: Page:479-492
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Groen Derek,Richardson Robin A.,Wright David W.,Jancauskas Vytautas,Sinclair Robert,Karlshoefer Paul,Vassaux Maxime,Arabnejad Hamid,Piontek Tomasz,Kopta Piotr,Bosak Bartosz,Lakhlili Jalal,Hoenen Olivier,Suleimenova Diana,Edeling Wouter,Crommelin Daan,Nikishova Anna,Coveney Peter V.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-22747-0_36

Reference35 articles.

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2. Oberkampf, W.L., Roy, C.J.: Verification and Validation in Scientific Computing. Cambridge University Press, Cambridge (2010)

3. Roy, C.J., Oberkampf, W.L.: A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing. Comput. Methods Appl. Mech. Eng. 200(25), 2131–2144 (2011)

4. Groen, D., Knap, J., Neumann, P., Suleimenova, D., Veen, L., Leiter, K.: Mastering the scales: a survey on the benefits of multiscale computing software. Philos. Trans. Roy. Soc. A 377(2142), 20180147 (2019)

5. Nikishova, A., Hoekstra, A.G.: Semi-intrusive uncertainty quantification for multiscale models. arXiv preprint arXiv:1806.09341 (2018)

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