aPC Matlab Toolbox: Data-driven Arbitrary Polynomial Chaos
Zitieren als
Sergey Oladyshkin (2024). aPC Matlab Toolbox: Data-driven Arbitrary Polynomial Chaos (https://www.mathworks.com/matlabcentral/fileexchange/72014-apc-matlab-toolbox-data-driven-arbitrary-polynomial-chaos), MATLAB Central File Exchange. Abgerufen .
Oladyshkin, S., and W. Nowak. “Data-Driven Uncertainty Quantification Using the Arbitrary Polynomial Chaos Expansion.” Reliability Engineering & System Safety, vol. 106, Elsevier BV, Oct. 2012, pp. 179–90, doi:10.1016/j.ress.2012.05.002.
Oladyshkin, Sergey, and Wolfgang Nowak. “Incomplete Statistical Information Limits the Utility of High-Order Polynomial Chaos Expansions.” Reliability Engineering & System Safety, vol. 169, Elsevier BV, Jan. 2018, pp. 137–48, doi:10.1016/j.ress.2017.08.010.
Oladyshkin S., de Barros F. P. J. and Nowak W. Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology. Advances in Water Resources 37, 10-2, 2012, doi: 10.1016/j.advwatres.2011.11.001.
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- MATLAB > Mathematics > Elementary Math > Polynomials >
- Engineering > Civil and Environmental Engineering > Environmental Engineering >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
aPC Matlab Toolbox
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.12 | Sparse representation and GP properties |
|
|
1.0.11 | Multivariate Polynomial Degrees |
|
|
1.0.10 | FT Update |
|
|
1.0.9 | PCM Update |
|
|
1.0.8 | OOP |
|
|
1.0.7 | Object Oriented Version |
|
|
1.0.6 | Object Oriented Set Up |
|
|
1.0.5 | Object Oriented Version |
|
|
1.0.4 | Neq1 |
||
1.0.3 | Neq1 |
||
1.0.2 | New option: aPC based global sensitivity analysis |
||
1.0.1 | line 33 in MainRun_aPC.m |
||
1.0.0 |