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License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.2991/csss-1...
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Solving Diffusion Equation Using a New Multiquadric Quasi-interpolation

Authors: Wang Ziqiang; Cao Junying;

Solving Diffusion Equation Using a New Multiquadric Quasi-interpolation

Abstract

In this paper, a new univariate quasi-interpolation operator is presented by means of construction way with cubic Multiquadric functions. It possesses univariate cubic polynomial reproduction property, quasi convexity-preserving and shapepreserving of order 4 properties, and a higher convergence rate. First, the quasi-interpolation operator ( ) R L x is applied to approximate the derivative of order 1,2,3 m  and its approximation capacity is obtained, i.e., 3 2 0 1 ( ) . m C h h c C c    Second, it is used to construct numerical schemes to solve the diffusion equation. Using the derivative of the quasi-interpolation to approximate the spatial derivative of the differential equation. And applying Crank-Nicolson scheme and back Euler scheme to approximate the temporal derivative of the differential equation. And as 2 ( ) c O h  , the computational accuracy of the scheme is both 2 2 ( ) O t h   and 2 ( ) O t h   respectively. Finally, some numerical examples is given to verify the scheme for the onedimensional diffusion equation. The numerical results show that the numerical solution are very close to the exact solution. Keywords-Multiquadric quasi-interpolation;diffusion equation; shape-preserving property; approximation capacity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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