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Journals / TOJSAT / 2012 / Cilt: 2 Sayı: 4

Cubic Transformational High Dimensional Model Representation

Erdoğan ŞEN
Kamil ORUÇOĞLU
Journal
TOJSAT
Pages
5–10
Publication Date
2016-07-23
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR).
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Key Findings & Data:This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR).
💡
Conclusion & Impact:The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Cubic Equation · Transformational High Dimensional Model Representation · Multivariate Functions

Abstract

This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR). The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself

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Cite This Article

ŞEN, E., ORUÇOĞLU, K. (2016). Cubic Transformational High Dimensional Model Representation. TOJSAT, Cilt: 2 Sayı: 4, 5–10. https://ajindex.com/articles/1008272

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References (3)

  1. Şen, E. (2011). On Quartic Transformational High Dimensional Model Representation. Numerical Analysis and Applied Mathematics ICNAAM 2011 American Institute of Physics Conference Proceedings, 1389 ( pp.2044-2047).
  2. Halkidiki, Greece. Yaman, İ., (2008). Construction of New Rational Approximation Based on Transformational High Dimensional Model Representation and Efficient Usage of Them by Fluctuation Approximation. Ph.D Thesis, İstanbul Technical University Informatics Institute. Yaman, İ., Demiralp, M. (2009), A New Rational Approximation Technique Based on Transformational High Dimensional Model Representation. Springer U.S.line Volume 52, No. 3 (pp.385-407), ISSN: 1017-1398 (Print) 1572-9265 (Online). Demiralp, M. (2003). High Dimensional Model Representation and its Applications. Tools for Mathematical Modelling, 9, (pp.146-159).
  3. Demiralp, M. (2006). Transformational High Dimensional Model Representation. ICCMSE (International Conference of Computational Methods in Engineering), Crete, Greece. Gündoğar Z., Baykara, N.A., Demiralp, M. (2010). Basic Features of Conic Transformational High Dimensional Model Representation. Int. Conf. on Numerical Analysis and Applied Mathematics, Rhodes, Greece. Gündoğar, Z., Baykara, N.A., Demiralp, M. (2011). Conic Transformational High Dimensional Model Representation in Comparison with Hermite-Padé Approximants, Proceedings of the Int. Conf. on Applied Informatics and Computing Theory, Prague, Czech Republic, (pp.45-51).