Okan, A. And Demiralp, M. 2017. A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR). JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.326 , 99-115.

Okan, A., & Demiralp, M., (2017). A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR). JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.326, 99-115.

Okan, Ayla, And Metin Demiralp. "A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR)," JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.326, 99-115, 2017

Okan, Ayla And Demiralp, Metin. "A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR)." JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.326, pp.99-115, 2017

Okan, A. And Demiralp, M. (2017) . "A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR)." JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.326, pp.99-115.

@article{article, author={Ayla Okan And author={Metin Demiralp}, title={A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR)}, journal={JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS}, year=2017, pages={99-115} }