D
D. L. Young
Researcher at National Taiwan University
Publications - 6
Citations - 405
D. L. Young is an academic researcher from National Taiwan University. The author has contributed to research in topics: Boundary value problem & Boundary (topology). The author has an hindex of 6, co-authored 6 publications receiving 374 citations.
Papers
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Novel meshless method for solving the potential problems with arbitrary domain
D. L. Young,K. H. Chen,C. W. Lee +2 more
TL;DR: In this paper, a non-singular and boundary-type meshless method in two dimensions is developed to solve the potential problems, which is represented by a distribution of the kernel functions of double layer potentials.
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Singular meshless method using double layer potentials for exterior acoustics
D. L. Young,K. H. Chen,C. W. Lee +2 more
TL;DR: An approach to obtain the diagonal terms of the influence matrices of the MFS for the numerical treatment of exterior acoustics by using the regularization technique to regularize the singularity and hypersingularity of the proposed kernel functions.
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Arbitrary Lagrangian-Eulerian finite element analysis of free surface flow using a velocity-vorticity formulation
D. C. Lo,D. L. Young +1 more
TL;DR: In this paper, a velocity-vorticity formulation of the Navier-Stokes equations for two-dimensional free surface flow using an arbitrary Lagrangian-Eulerian method is presented.
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A multiple-scale Pascal polynomial for 2D Stokes and inverse Cauchy-Stokes problems
TL;DR: Two novel numerical algorithms are proposed, based on a third–first order system and third–third order system, to solve the direct and the inverse Cauchy problems in Stokes flows by developing a multiple-scale Pascal polynomial method, of which the scales are determined a priori by the collocation points.
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Adaptive multilayer method of fundamental solutions using a weighted greedy QR decomposition for the Laplace equation
TL;DR: A weighted greedy QR decomposition (GQRD) is proposed to choose significant source points by introducing a weighting parameter and it is concluded that the numerical solution tends to be more accurate when the average degree of approximation is larger and that the proposed method can yield more accurate solutions with a less number of source points than the conventional GQRD.