This paper is concerned with numerical solution of the nonlinear fractional diffusion equation with multi-delay. The studied model plays a significant role in population ecology. A linearized Crank-Nicolson method for such problem is proposed by combing the Crank-Nicolson approximation in time with the fractional centred difference formula in space. Using the discrete energy method, the suggested scheme is proved to be uniquely solvable, stable and convergent with second-order accuracy in both space and time for sufficiently small space and time increments. Several numerical experiments for solving the delay fractional Hutchinson equation and two real problems in population dynamics are provided to verify our theoretical results.
机构:
Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R ChinaNatl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
Liu, Jin
Hao, Yifei
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Chongqing Technol & Business Univ, Sch Business Adm, Chongqing 400067, Peoples R ChinaNatl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
机构:
Cent South Univ, Sch Math & Stat, HNP LAMA, Changsha 410083, Peoples R China
Ibb Univ, Coll Sci, Dept Math & Comp, Ibb, YemenCent South Univ, Sch Math & Stat, HNP LAMA, Changsha 410083, Peoples R China
Basha, Merfat
Anley, Eyaya Fekadie
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Hunan Univ, Sch Phys & Microelect, Changsha 410082, Peoples R ChinaCent South Univ, Sch Math & Stat, HNP LAMA, Changsha 410083, Peoples R China
Anley, Eyaya Fekadie
Dai, Binxiang
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Cent South Univ, Sch Math & Stat, HNP LAMA, Changsha 410083, Peoples R ChinaCent South Univ, Sch Math & Stat, HNP LAMA, Changsha 410083, Peoples R China
机构:
Sichuan Normal Univ, Sch Math Sci, Chengdu 610068, Sichuan, Peoples R China
Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R ChinaSichuan Normal Univ, Sch Math Sci, Chengdu 610068, Sichuan, Peoples R China
Ran, Maohua
Zhang, Chengjian
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Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R ChinaSichuan Normal Univ, Sch Math Sci, Chengdu 610068, Sichuan, Peoples R China