Abstract
In this paper, a high order method using bivariate spline finite elements on domains defined by NURBS is proposed for solving two dimensional non-classical diffusion problem. Bivariate spline proper subspace of \(S_4^{2,3} (\Delta _{mn}^{(2)} )\) satisfying homogeneous boundary conditions on type-2 triangulations and quadratic B-spline interpolating boundary functions are primarily constructed. Two examples are solved to assess the accuracy of the method. The simulation obtained, indicates that spline method is reliable and yields results compatible with the exact solutions and consistent with other existing numerical methods.
Similar content being viewed by others
References
Li, Z., Jieqing, T., Xianyu, G., Guo, Z.: Generalized B-splines’ geometric iterative fitting method with mutually different weights. J. Comput. Appl. Math. 329, 331–343 (2018)
Mingzeng, L., Baojun, L., Qingjie, G., Zhu Chungang, H., Ping, S.Y.: Progressive iterative approximation for regularized least square bivariate B-spline surface fitting. J. Comput. Appl. Math. 327, 175–187 (2018)
Christopher, P.: B-splines collocation for plate bending eigenanalysis. J. Mech. Mater. Struct. 12(4), 353–371 (2017)
Alaattin, E., Orkun, T.: Numerical solution of time fractional Schrödinger equation by using quadratic B-spline finite elements. Ann. Math. Sil. 31(1), 83–98 (2017)
Jalil, R., Sanaz, J.: Collocation method based on modified cubic B-spline for option pricing models. Math. Commun. 22(1), 89–102 (2017)
Kai, Q., Wang, Z., Jiang, B.: A finite element method by using bivariate splines for one dimensional heat equations. J. Inf. Comput. Sci. 10(12), 3659–3666 (2013)
Ole, C.: Goh Say Song: From dual pairs of Gabor frames to dual pairs of wavelet frames and vice versa. Appl. Comput. Harmon. Anal. 36(2), 198–214 (2014)
Annalisa, B., Carlotta, G.: Adaptive isogeometric methods with hierarchical splines: optimality and convergence rates. Math. Models Methods Appl. Sci. 27(14), 2781–2802 (2017)
Annalisa, B., Garau, E.M.: Refinable spaces and local approximation estimates for hierarchical splines. IMA J. Numer. Anal. 37(3), 1125–1149 (2017)
Annalisa, B., Carlotta, G.: Adaptive isogeometric methods with hierarchical splines: error estimator and convergence. Math. Models Methods Appl. Sci. 26(1), 1–25 (2016)
Andrea, B., Annalisa, B., Giancarlo, S.: Characterization of analysis-suitable T-splines. Comput. Aided Geom. Design 39, 17–49 (2015)
Annalisa, B., Vázquez, R.H., Sangalli, G., Beirão da Veiga, L.: Approximation estimates for isogeometric spaces in multipatch geometries. Numer. Methods Partial Differ. Equ. 31(2), 422–438 (2015)
Deepesh, T., Hendrik, S., Hughes Thomas, J.R.: Smooth cubic spline spaces on unstructured quadrilateral meshes with particular emphasis on extraordinary points: geometric design and isogeometric analysis considerations. Comput. Methods Appl. Mech. Eng. 327, 411–458 (2017)
Deepesh, T., Hendrik, S., Hiemstra René, R., Hughes Thomas, J.R.: Multi-degree smooth polar splines: a framework for geometric modeling and isogeometric analysis. Comput. Methods Appl. Mech. Eng. 316, 1005–1061 (2017)
Kamensky, D., Hsu, M.-C., Yu, Y., Evans, J.A., Sacks, M.S., Hughes, T.J.R.: Immersogeometric cardiovascular fluid-structure interaction analysis with divergence-conforming B-splines. Comput. Methods Appl. Mech. Eng. 314, 408–472 (2017)
Kruse, R., Nguyen-Thanh, N., De Lorenzis, L., Hughes, T.J.R.: Isogeometric collocation for large deformation elasticity and frictional contact problems. Comput. Methods Appl. Mech. Eng. 2296, 73–112 (2015)
Kanca, F.: The inverse problem of the heat equation with periodic boundary and integral over determination conditions. J. Inequal. Appl. 18, 1–9 (2013)
Martín, V.J., Queiruga, D.A., Encinas, A.H.: Numerical algorithms for diffusion-reaction problems with non-classical conditions. Appl. Math. Comput. 218(9), 5487–5495 (2012)
Dehghan, M.: Efficient techniques for the second-order parabolic equation subject to nonlocal specifications. Appl. Numer. Math. 52, 39–62 (2005)
Martin-Vaquero, J., Vigo-Aguiar, J.: A note on efficient techniques for the second-order parabolic equation subject to non-local conditions. Appl. Numer. Math. 59(6), 1258–1264 (2009)
Khaliq, A.Q.M., Martín, V.J., Wade, B.A., Yousuf, M.: Smoothing schemes for reaction-diffusion systems with nonsmooth data. J. Comput. Appl. Math. 223(1), 374–386 (2009)
Li, X., Wu, B.: New algorithm for non-classical parabolic problems based on the reproducing kernel method. Math. Sci. 7, 4–8 (2013)
Dehghan, M.: On the numerical solution of the diffusion equation with a nonlocal boundary condition. Math. Probl. Eng. 2, 81–92 (2003)
Dehghan, M.: A computational study of the one-dimensional parabolic equation subject to non-classical boundary specifications. Numer. Methods Partial Differ. Equ. 22, 220–257 (2006)
Tatari, M., Dehghan, M.: On the solution of the non-local parabolic partial differential equations via radial basis functions. Appl. Math. Model. 33, 1729–1738 (2009)
Golbabai, A., Javidi, M.: A numerical solution for non-classical parabolic problem based on Chebyshev spectral collocation method. Appl. Math. Comput. 190, 179–185 (2007)
Raunak, B., Charbel, F., Radek, T.: A discontinuous Galerkin method with Lagrange multipliers for spatially-dependent advection-diffusion problems. Comput. Methods Appl. Mech. Eng. 327, 93–117 (2017)
Abbasbandy, S., Shirzadi, A.: MLPG method for two-dimensional diffusion equation with Neumann’s and non-classical boundary conditions. Appl. Numer. Math. 61(2), 170–180 (2011)
Wang, R.H., Li, C.J.: Bivariate quartic spline spaces and quasi-interpolation operators. J. Comput. Appl. Math. 190, 325–338 (2006)
Acknowledgements
The authors acknowledge the National Natural Science Foundation of China (Grants Nos. 11601056 and 51009017), the Fundamental Research Funds for the Central Universities (Grants Nos. 3132017055 and 3132016314), the National Scholarship Foundation of China.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Qu, K., Xuan, J., Wang, N. et al. The simulation by using bivariate splines for solving two dimensional non-classical diffusion problem. Cluster Comput 22 (Suppl 4), 8131–8139 (2019). https://doi.org/10.1007/s10586-017-1636-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-017-1636-3