Difference Approximation for 2D Time-Fractional Integro-Differential Equation with Given Initial and Boundary Conditions
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作者:
Zhang, Xindong
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Guizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R ChinaGuizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
Zhang, Xindong
[1
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Luo, Ziyang
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Xinjiang Inst Engn, Sch Math & Phys, Urumqi 830023, Peoples R ChinaGuizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
Luo, Ziyang
[2
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Tang, Quan
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Xinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Peoples R ChinaGuizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
Tang, Quan
[3
]
Wei, Leilei
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Henan Univ Technol, Coll Sci, Zhengzhou 450001, Peoples R ChinaGuizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
Wei, Leilei
[4
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Liu, Juan
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Guizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R ChinaGuizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
Liu, Juan
[1
]
机构:
[1] Guizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
[2] Xinjiang Inst Engn, Sch Math & Phys, Urumqi 830023, Peoples R China
[3] Xinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Peoples R China
[4] Henan Univ Technol, Coll Sci, Zhengzhou 450001, Peoples R China
In this investigation, a new algorithm based on the compact difference method is proposed. The purpose of this investigation is to solve the 2D time-fractional integro-differential equation. The Riemann-Liouville derivative was utilized to define the time-fractional derivative. Meanwhile, the weighted and shifted Gr & uuml;nwald difference operator and product trapezoidal formula were utilized to construct a high-order numerical scheme. Also, we analyzed the stability and convergence. The convergence order was O(tau 2+hx4+hy4), where tau is the time step size, hx and hy are the spatial step sizes. Furthermore, several examples were provided to verify the correctness of our theoretical reasoning.
机构:
Hunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R ChinaHunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R China
Cao, Y.
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机构:
Nikan, O.
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Avazzadeh, Z.
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机构:
Univ South Africa, Dept Math Sci, Roodepoort, South AfricaHunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R China
机构:
Hunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R ChinaHunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R China
Cao, Y.
;
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h-index:
机构:
Nikan, O.
;
Avazzadeh, Z.
论文数: 0引用数: 0
h-index: 0
机构:
Univ South Africa, Dept Math Sci, Roodepoort, South AfricaHunan Normal Univ, Sch Math & Stat, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Hunan, Peoples R China