Treffer: ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis
Title:
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis
Authors:
Publisher Information:
2021-05-14 2021-07-30
Document Type:
E-Ressource
Electronic Resource
Index Terms:
DOI:
10.1016.j.simpa.2021.100133
Availability:
Open access content. Open access content
Other Numbers:
COO oai:arXiv.org:2105.06713
doi:10.1016/j.simpa.2021.100133
1269550137
doi:10.1016/j.simpa.2021.100133
1269550137
Contributing Source:
CORNELL UNIV
From OAIster®, provided by the OCLC Cooperative.
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1269550137
Database:
OAIster
Weitere Informationen
ATHENA is an open source Python package for reduction in parameter space. It implements several advanced numerical analysis techniques such as Active Subspaces (AS), Kernel-based Active Subspaces (KAS), and Nonlinear Level-set Learning (NLL) method. It is intended as a tool for regression, sensitivity analysis, and in general to enhance existing numerical simulations' pipelines tackling the curse of dimensionality. Source code, documentation, and several tutorials are available on GitHub at https://github.com/mathLab/ATHENA under the MIT license.