@misc{Veni_Krishna_G._Residual,
 author={Veni, Krishna G. and Satyanarayana, Chirala and Krishareddy, Chenna M.},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={In infinitely smooth Radial Basis Function (RBF) based interpolation, the scaling parameter plays an important role to obtain an accurate and stable numerical solution. When this method is applied to interpolate a function with sharp gradients, then adaptive methods will also play a significant role in determining an optimal number of centers according to the user desired accuracy.},
 abstract={In this article, we test an optimization algorithm developed using the nonlinear optimization to find a scaling parameter for RBF along with an adaptive residual subsampling method [1] RBF interpolation. In this process, at each stage of adoption, the available optimal shape parameters have been obtained by solving the system of non-linear equations.},
 type={artykuł},
 title={Residual error based adaptive method with an optimal variable scaling parameter for RBF interpolation},
 keywords={radial basis functions, adaptive residual subsampling, optimal shape parameter},
}