Assessing the Predictive Strength of Different Radial Basis Function Interpolation Techniques for Diesel Fuel Price Prediction

Author(s):  
Yao Yevenyo Ziggah ◽  
Paul Boye
2016 ◽  
Vol 36 (3) ◽  
pp. 1192-1223 ◽  
Author(s):  
T. Veerakumar ◽  
Ravi Prasad K. Jagannath ◽  
Badri Narayan Subudhi ◽  
S. Esakkirajan

2000 ◽  
Vol 61 (5) ◽  
pp. 5967-5976 ◽  
Author(s):  
Xu-Guang Hu ◽  
Tak-San Ho ◽  
Herschel Rabitz ◽  
Attila Askar

2017 ◽  
Vol 3 (4) ◽  
pp. 56
Author(s):  
Tanja Kurzendorfer ◽  
Peter Fischer ◽  
Negar Mirshahzadeh ◽  
Thomas Pohl ◽  
Alexander Brost ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaowei Fang ◽  
Qin Ni

In this paper, we propose a new hybrid direct search method where a frame-based PRP conjugate gradients direct search algorithm is combined with radial basis function interpolation model. In addition, the rotational minimal positive basis is used to reduce the computation work at each iteration. Numerical results for solving the CUTEr test problems show that the proposed method is promising.


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