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  PSYDAC: a high-performance IGA library in Python

Güclü, Y., Hadjout, S. A., & Ratnani, A. (2022). PSYDAC: a high-performance IGA library in Python. In ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering. doi:10.23967/eccomas.2022.227.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-9C4C-0 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-9C4E-E
Genre: Conference Paper

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Locator:
https://doi.org/10.23967/eccomas.2022.227 (Publisher version)
Description:
Open Access
OA-Status:
Not specified

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 Creators:
Güclü, Y.1, Author           
Hadjout, S. A.1, 2, Author           
Ratnani, A.2, Author
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: 12 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.23967/eccomas.2022.227
 Degree: -

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Title: 8th European Congress on Computational Methods in Applied Sciences and Engineering
Place of Event: Oslo
Start-/End Date: 2022-06-05 - 2022-06-09

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Title: ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 9788412322286