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ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

Romor F.
•
Tezzele M.
•
Rozza G.
2021
  • journal article

Periodico
SOFTWARE IMPACTS
Abstract
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.
DOI
10.1016/j.simpa.2021.100133
WOS
WOS:000837034900026
Archivio
https://hdl.handle.net/20.500.11767/130230
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122979794
https://arxiv.org/abs/2105.06713
https://ricerca.unityfvg.it/handle/20.500.11767/130230
Diritti
metadata only access
Soggetti
  • Parameter space reduc...

  • Active subspaces

  • Kernel-based active s...

  • Nonlinear level-set l...

  • Python

  • Settore MAT/08 - Anal...

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