Yu Lan Wang

Prof. Dr. Yu Lan Wang

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2022 in Applied Mathematics Letters
Verified
Journal Article
Closed access
CHChe Han
Che Han
YWYu Lan Wang
Yu Lan Wang
ZLZhi-Yuan Li
Zhi-Yuan Li

29 November 2021 in Fractals
Verified
Journal Article
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PDF file
CHChe Han
Che Han
YWYu Lan Wang
Yu Lan Wang
ZLZhi-Yuan Li
Zhi-Yuan Li

1 January 2021 in Thermal Science
Verified
Journal Article
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DDDan-Dan Dai
Dan-Dan Dai
TBTing-Ting Ban
Ting-Ting Ban
YWYu Lan Wang
Yu Lan Wang
WZWei Zhang
Wei Zhang
This paper structures some new reproductive kernel spaces based on Legendre polynomials to solve time variable order fractional advection-reaction-diffusion equations. Some examples are given to show the effectiveness and reliability of the method.

6 June 2022 in Mathematics and Computers in Simulation
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Journal Article
Closed access
HCHan Che
Han Che
YWYu Lan Wang
Yu Lan Wang
ZLZhi-Yuan Li
Zhi-Yuan Li

1 February 2010 in International Journal of Computer Mathematics
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Journal Article
Closed access
YWYu Lan Wang
Yu Lan Wang
TCTemuer Chaolu
Temuer Chaolu
ZCZhong Chen
Zhong Chen
Cui et al. [M. Cui and F. Geng, Solving singular two point boundary value problems in reproducing kernel space, J. Comput. Appl. Math. 205 (2007), pp. 6–15; H. Yao and M. Cui, A new algorithm for a class of singular boundary value problems, Appl. Math. Comput. 186 (2007), pp. 1183–1191] presents an algorithm to solve a class of singular linear boundary value problems in the reproducing kernel space. In this paper, we will present three new algorithms to solve a class of singular weakly nonlinear boundary value problems in reproducing kernel space. The algorithms are efficiently applied to solving some model problems. It is demonstrated by the numerical examples that those algorithms are highly accurate.

30 December 2018 in Mathematical Problems in Engineering
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Journal Article
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HWHongchun Wu
Hongchun Wu
YWYu Lan Wang
Yu Lan Wang
WZWei Zhang
Wei Zhang
Partial differential equations (PDEs) are widely used in mechanics, control processes, ecological and economic systems, chemical cycling systems, and epidemiology. Although there are some numerical methods for solving PDEs, simple and efficient methods have always been the direction that scholars strive to pursue. Based on this problem, we give the meshless barycentric interpolation collocation method (MBICM) for solving a class of PDEs. Four numerical experiments are carried out and compared with other methods; the accuracy of the numerical solution obtained by the present method is obviously improved.