Open Access
MATEC Web of Conferences
Volume 44, 2016
2016 International Conference on Electronic, Information and Computer Engineering
Article Number 01055
Number of page(s) 6
Section Computer, Algorithm, Control and Application Engineering
Published online 08 March 2016
  1. Attouch H, Buttazzo G, Michaille G. Variational analysis in Sobolev and BV spaces: applications to PDEs and optimization [M]. Society for Industrial and Applied Mathematics: Mathematical Optimization Society, 2014. [Google Scholar]
  2. Deckelnick K, Elliott C M, Ranner T. Unfitted finite element methods using bulk meshes for surface partial differential equations [J]. Siam Journal on Numerical Analysis, 2013, 52. [Google Scholar]
  3. Wacher A. A comparison of the String Gradient Weighted Moving Finite Element method and a Parabolic Moving Mesh Partial Differential Equation method for solutions of partial differential equations[J]. Central European Journal of Mathematics, 2013, 11 (4): 642–663. [Google Scholar]
  4. Ford N, Xiao J, Yan Y. A finite element method for time fractional partial differential equations [J]. Fractional Calculus & Applied Analysis, 2011, 14 (3): 454–474. [Google Scholar]
  5. Tang Y, Xiang J, Xu J, et al. Adaptive Wavelet Finite Element Method for Partial Differential Equation [J]. Advanced Science Letters, 2011, volume 4: 3151–3154(4). [CrossRef] [Google Scholar]
  6. Mohanty R K. An unconditionally stable finite difference formula for a linear second order one space dimensionalhyperbolic equation with variable coefficients [J]. Applied Mathematics & Computation, 2005, 165 (1): 229–236. [CrossRef] [Google Scholar]
  7. Fan C, Yeih P L W. Generalized finite difference method for solving two-dimensional inverse Cauchy problems [J]. Inverse Problems in Science & Engineering, 2014: 1–23. [Google Scholar]
  8. Shaken F, Dehghan M. A high order finite volume element method for solving elliptic partial integro-differential equations [J]. Applied Numerical Mathematics, 2013, 65 (2): 105–118. [CrossRef] [Google Scholar]
  9. McCorquodale P, Don M R, Hittinger J A F, et al. High-order finite-volume methods for hyperbolic conservation laws on mapped multiblock grids [J]. Journal of Computational Physics, 2015, 288. [Google Scholar]
  10. Feng L B, Zhuang P, Liu F, et al. Stability and convergence of a new finite volume method for a two-sided space-fractional diffusion equation[J]. Applied Mathematics & Computation, 2015, 257: 52–65. [Google Scholar]
  11. Chen Z, Chou S, Kwak D Y. Characteristic-mixed covolume methods for advection-dominated diffusion problems [J]. Numerical Linear Algebra with Applications, 2006, 13 (9): 677–697. [CrossRef] [Google Scholar]
  12. Douglas J, Russell A T F. Numerical Methods for Convection-Dominated Diffusion Problems Based on Combining the Method of Characteristics with Finite Element or Finite Difference Procedures[J]. Siam Journal on Numerical Analysis, 1982, 19 (5): 871–885. [CrossRef] [MathSciNet] [Google Scholar]
  13. Guoyin Wang, Qinghua Zhang, Jun Hu. An overview of granular computing [J]. CAAI Transactions on Intelligent Systems, 2008, 2 (6): 8–26. [Google Scholar]
  14. Yao Y Y. Granular Computing: basic issues and possible solutions [J]. Proceedings of Joint Conference on Information Sciences, 2002:186–189. [Google Scholar]
  15. Qian Y, Zhang H, Li F, et al. Set-based granular computing: A lattice model [J]. International Journal of Approximate Reasoning, 2014, 55 (3): 834–852. [CrossRef] [Google Scholar]
  16. Ji Xu, Guoyin Wang, Hong Yu. Review of Big Data Processing Based on Granular Computing [J]. Chinese Journal of Computers, 2015 (8): 1497–1517. [Google Scholar]
  17. Gacek A. Granular modelling of signals: a framework of granular computing [J]. Information Sciences, 2013, 221: 1–11. [CrossRef] [Google Scholar]
  18. Douglas J, Russell T F. Numerical Methods for Convection-Dominated Diffusion Problems Based on Combining the Method of Characteristics with Finite Element or Finite Difference Procedures[J]. Siam Journal on Numerical Analysis, 1982, 19 (5): 871–885. [CrossRef] [MathSciNet] [Google Scholar]
  19. Pasciak J E. The Mathematical Theory of Finite Element Methods (Susanne C. Brenner and L. Ridgway Scott)[J]. Siam Review, 1995, 37 (3): 472–473. [CrossRef] [Google Scholar]
  20. Fu H. A characteristic finite element method for optimal control problems governed by convection-diffusion equations [J]. Journal of Computational & Applied Mathematics, 2010, 235 (3): 825–836. [CrossRef] [Google Scholar]
  21. Ciarlet PG. The finite element method for elliptic problems [M] // Society for Industrial and Applied Mathematics, 2002:460. [Google Scholar]
  22. Kaitai Li. The finite element method and its application [M]// XPAN Jiaotong University Press, 1984. [Google Scholar]
  23. Wang L, Shi B, Chai Z. Regularized lattice Boltzmann model for a class of convection-diffusion equations[J]. Physical Review E, 2015, 92(4) [Google Scholar]

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