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Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 43

An application of BURA solver to fractional super-diffusion problems

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DOI: http://dx.doi.org/10.15439/2025F2449

Citation: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 43, pages 715720 ()

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Abstract. In this contribution, the numerical solution of the spectral fractional elliptic equation with power $\alpha \in (1,2)$ is studied. After discretization, the problem is reduced to solving a system of linear algebraic equations. We apply the Best Uniform Rational Approximation (BURA) method and focus on the numerical aspects, related to its implementation. An extensive experimental study is conducted to evaluate the accuracy of the proposed approach. The numerical results confirm the theoretical analysis and demonstrate the effectiveness of using the BURA method for the fractional super-diffusion problems.

References

  1. C. Hofreither, “A unified view of some numerical methods for fractional diffusion,” Comp Math Appl., vol. 80, no. 2, pp. 332–350, 2020. https://dx.doi.org/10.1016/j.camwa.2019.07.025
  2. D. Slavchev, S. Harizanov, and N. Kosturski, “Analysis on computational issues when approximating fractional powers of sparse SPD matrices,” International Journal of Applied Mathematics, vol. 37, no. 6, pp. 699–711, 2024. https://dx.doi.org/10.12732/ijam.v37i6.7
  3. S. Harizanov, R. Lazarov, S. Margenov, P. Marinov, and Y. Vutov, “Optimal solvers for linear systems with fractional powers of sparse SPD matrices,” Numer Linear Algebra Appl., vol. 25, no. 5, p. e2167, 2018. https://dx.doi.org/10.1002/nla.2167
  4. S. Harizanov, N. Kosturski, I. Lirkov, S. Margenov, and Y. Vutov, “Reduced multiplicative (BURA-MR) and additive (BURA-AR) best uniform rational approximation methods and algorithms for fractional elliptic equations,” Fractal and Fractional, vol. 5, no. 3, p. 61, 2021. https://dx.doi.org/10.3390/fractalfract5030061
  5. H. Stahl, “Best uniform rational approximation of xα on [0, 1],” Acta Math, vol. 190, no. 2, pp. 241–306, 2003.
  6. S. Harizanov, R. Lazarov, S. Margenov, P. Marinov, and J. Pasciak, “Analysis of numerical methods for spectral fractional elliptic equations based on the best uniform rational approximation,” Journal of Computational Physics, vol. 408, p. 109285, 2020. https://dx.doi.org/10.1016/j.jcp.2020.109285
  7. “Software BRASIL,” accessed on September 1, 2022. [Online]. Available: https://baryrat.readthedocs.io/en/latest/#baryrat.brasil
  8. C. Hofreither, “An algorithm for best rational approximation based on barycentric rational interpolation,” Numerical Algorithms, vol. 88, pp. 365–388, 2021. https://dx.doi.org/10.1007/s11075-020-01042-0
  9. E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. D. Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen, LAPACK Users’ Guide, 3rd ed. Philadelphia: SIAM, 1999.