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High accuracy eigensolution and its extrapolation for potential equations
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作者 程攀 黄晋 曾光 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2010年第12期1527-1536,共10页
From the potential theorem, the fundamental boundary eigenproblems can be converted into boundary integral equations (BIEs) with the logarithmic singularity. In this paper, mechanical quadrature methods (MQMs) are... From the potential theorem, the fundamental boundary eigenproblems can be converted into boundary integral equations (BIEs) with the logarithmic singularity. In this paper, mechanical quadrature methods (MQMs) are presented to obtain the eigensolutions that are used to solve Laplace's equations. The MQMs possess high accuracy and low computation complexity. The convergence and the stability are proved based on Anselone's collective and asymptotical compact theory. An asymptotic expansion with odd powers of the errors is presented. By the h3-Richardson extrapolation algorithm (EA), the accuracy order of the approximation can be greatly improved, and an a posteriori error estimate can be obtained as the self-adaptive algorithms. The efficiency of the algorithm is illustrated by examples. 展开更多
关键词 potential equation mechanical quadrature method Richardson extrapolation algorithm a posteriori error estimate
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Extrapolation methods to compute hypersingular integral in boundary element methods 被引量:6
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作者 LI Jin ZHANG XiaoPing YU DeHao 《Science China Mathematics》 SCIE 2013年第8期1647-1660,共14页
The composite trapezoidal rule for the computation of Hadamard finite-part integrals in boundary element methods with the hypersingular kernel I/sin2(x- s) is discussed, and the main part of the asymptotic expansion... The composite trapezoidal rule for the computation of Hadamard finite-part integrals in boundary element methods with the hypersingular kernel I/sin2(x- s) is discussed, and the main part of the asymptotic expansion of error function is obtained. Based on the main part of the asymptotic expansion, a series is constructed to approach the singular point. An extrapolation algorithm is presented and the convergence rate is proved. Some numerical results are also presented to confirm the theoretical results and show the efficiency of the algorithms. 展开更多
关键词 hypersingular integrals trapezoidal rule asymptotic error expansion extrapolation algorithm
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Extrapolated Smoothing Descent Algorithm for Constrained Nonconvex and Nonsmooth Composite Problems
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作者 Yunmei CHEN Hongcheng LIU Weina WANG 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2022年第6期1049-1070,共22页
In this paper,the authors propose a novel smoothing descent type algorithm with extrapolation for solving a class of constrained nonsmooth and nonconvex problems,where the nonconvex term is possibly nonsmooth.Their al... In this paper,the authors propose a novel smoothing descent type algorithm with extrapolation for solving a class of constrained nonsmooth and nonconvex problems,where the nonconvex term is possibly nonsmooth.Their algorithm adopts the proximal gradient algorithm with extrapolation and a safe-guarding policy to minimize the smoothed objective function for better practical and theoretical performance.Moreover,the algorithm uses a easily checking rule to update the smoothing parameter to ensure that any accumulation point of the generated sequence is an(afne-scaled)Clarke stationary point of the original nonsmooth and nonconvex problem.Their experimental results indicate the effectiveness of the proposed algorithm. 展开更多
关键词 Constrained nonconvex and nonsmooth optimization Smooth approximation Proximal gradient algorithm with extrapolation Gradient descent algorithm Image reconstruction
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