2018
DOI: 10.1016/j.camwa.2018.02.017
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The high-order multistep ADI solver for two-dimensional nonlinear delayed reaction–diffusion equations with variable coefficients

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Cited by 25 publications
(5 citation statements)
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“…It is possible to extend the proposed model in several ways by considering immune response delay [21], CTL response [23,47], reaction diffusion [48,49] and memory effect [50,51].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…It is possible to extend the proposed model in several ways by considering immune response delay [21], CTL response [23,47], reaction diffusion [48,49] and memory effect [50,51].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Transmission systems, when it comes in damping form such as our model, are revealed to be very interesting in applied real sciences. These increasingly complex systems with varied functions are fertile fields of research that require extensive qualitative studies (see [10,11]). The case considered in this paper, where there is an interaction between two damping terms, has not been tackled before.…”
Section: Introduction and Position Of Problemmentioning
confidence: 99%
“…Soon afterwards, Zhang et al [27][28][29][30] extended this type of investigation to nonlinear delay convection-reaction-diffusion equations, delay parabolic equations with variable coefficient, 2D semilinear multidelay parabolic equations and non-Fickian delay reaction-diffusion equations. Moreover, Deng [31] derived a compact multistep method combined with the Richardson extrapolation for 2D nonlinear delay reaction-diffusion equations, Xie and Zhang [32] considered the error estimate of a high-order compact multistep ADI method for 2D nonlinear delay reaction-diffusion equations with variable coefficients, and Qin et al [33] studied linearized compact ADI methods for semilinear parabolic problems with distributed delay.…”
Section: Introductionmentioning
confidence: 99%