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A shift and invert reorthogonalization Arnoldi algorithm for solving the chemical master equation

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  • Liu, Yong
  • Gu, Chuanqing

Abstract

The shift and invert Arnoldi (SIA) method is a numerical algorithm for approximating the product of Toeplitz matrix exponential with a vector. In this paper, we extend the SIA method to chemical master equation (CME) and propose a SIA algorithm based on the strategy of reorthogonalization (SIRA). We establish a theoretical error of the resulting approximation of SIRA algorithm. Numerical experiments show that the SIRA algorithm is more efficient than the Krylov FSP algorithm in terms of finite models, and the error estimate can be used to determine whether this result obtained by SIRA algorithm is acceptable or not.

Suggested Citation

  • Liu, Yong & Gu, Chuanqing, 2019. "A shift and invert reorthogonalization Arnoldi algorithm for solving the chemical master equation," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 1-13.
    • Handle: RePEc:eee:apmaco:v:349:y:2019:i:c:p:1-13
    DOI: 10.1016/j.amc.2018.12.021
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    References listed on IDEAS

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    1. Dinh, Khanh N. & Sidje, Roger B., 2017. "Analysis of inexact Krylov subspace methods for approximating the matrix exponential," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 138(C), pages 1-13.
    2. Vo, H.D. & Sidje, R.B., 2017. "Implementation of variable parameters in the Krylov-based finite state projection for solving the chemical master equation," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 334-344.
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