Matrix High Dimensional Model Representation (MHDMR) with the weight matrices generated by subspace construction

Süha Tuna*, Metin Demiralp

*Bu çalışma için yazışmadan sorumlu yazar

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Özet

High Dimensional Model Representation(HDMR) is one of the well-known decomposition methods to partition multivariate functions or given data sets. Although HDMR and its varieties can handle their tasks successfully, it is never revived that it can also be utilized for matrices, function argumented matrices can, until Demiralp and his group has started to work on this topic. After some valuable studies, a new HDMR type has just come forward: Matrix HDMR(MHDMR). In this paper, MHDMR and its features will be introduced.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıNumerical Analysis and Applied Mathematics, ICNAAM 2011 - International Conference on Numerical Analysis and Applied Mathematics
Sayfalar1192-1195
Sayfa sayısı4
DOI'lar
Yayın durumuYayınlandı - 2011
EtkinlikInternational Conference on Numerical Analysis and Applied Mathematics: Numerical Analysis and Applied Mathematics, ICNAAM 2011 - Halkidiki, Greece
Süre: 19 Eyl 201125 Eyl 2011

Yayın serisi

AdıAIP Conference Proceedings
Hacim1389
ISSN (Basılı)0094-243X
ISSN (Elektronik)1551-7616

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???event.eventtypes.event.conference???International Conference on Numerical Analysis and Applied Mathematics: Numerical Analysis and Applied Mathematics, ICNAAM 2011
Ülke/BölgeGreece
ŞehirHalkidiki
Periyot19/09/1125/09/11

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