2012
DOI: 10.1016/j.camwa.2012.01.053
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Distributed order equations as boundary value problems

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Cited by 57 publications
(47 citation statements)
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“…So this topic is discussed in the present work. Two effective ADI difference schemes, with the convergence orders O(τ 2 | ln τ | + h 2 1 + h 2 2 + α 2 ) and O(τ 2 | ln τ | + h 4 1 + h 4 2 + α 4 ) in a discrete L 1 (L ∞ ) norm, respectively, are constructed for the two-dimensional time-fractional diffusion equations of distributed order. The energy method is used to proceed with the corresponding theoretical analysis.…”
Section: Resultsmentioning
confidence: 99%
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“…So this topic is discussed in the present work. Two effective ADI difference schemes, with the convergence orders O(τ 2 | ln τ | + h 2 1 + h 2 2 + α 2 ) and O(τ 2 | ln τ | + h 4 1 + h 4 2 + α 4 ) in a discrete L 1 (L ∞ ) norm, respectively, are constructed for the two-dimensional time-fractional diffusion equations of distributed order. The energy method is used to proceed with the corresponding theoretical analysis.…”
Section: Resultsmentioning
confidence: 99%
“…The exact solution is given by u(x, y, t) = 2 21 t 5 x 4 (1 − x) 4 y 4 (1 − y) 4 . The choice of the power 21 is to make that max…”
Section: Numerical Examplesmentioning
confidence: 99%
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“…With the growing interest on this type of equation, numerical methods started being developed, for example in the work by Diethelm and Ford [16] where they present a basic framework for the numerical solution of distributed order differential equations (see also [17,18]). A more recent increase in interest in the use of distributed order differential equations (particularly in the case where the derivatives are given in the Caputo sense) led Ford and Morgado [24] to discuss the existence and uniqueness of solutions for this type of equation, and also to propose a numerical method for their approximation in the case where the initial conditions are not known (with boundary conditions being given away from the origin). Two years later, Katsikadelis [38] devised a numerical method for the solution of the distributed order FDE approximating them with a multiterm FDE (that is solved by adjusting appropriately the numerical method developed for multi-term FDEs).…”
Section: Introductionmentioning
confidence: 99%