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Cubature Formula and Interpolation on the Cubic Domain
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作者 Huiyuan Li jiachang sun Yuan Xu 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE 2009年第2期119-152,共34页
Several cubature formulas on the cubic domains are derived using the discrete Fourier analysis associated with lattice tiling,as developed in[10].The main results consist of a new derivation of the Gaussian type cubat... Several cubature formulas on the cubic domains are derived using the discrete Fourier analysis associated with lattice tiling,as developed in[10].The main results consist of a new derivation of the Gaussian type cubature for the product Chebyshev weight functions and associated interpolation polynomials on[-1,1]~2,as well as new results on[-1,1]~3.In particular,compact formulas for the fundamental interpolation polynomials are derived,based on n^3/4+(?)(n^2) nodes of a cubature formula on [-1,1]~3. 展开更多
关键词 插值多项式 容积式 三次域 CHEBYSHEV 公式推导 傅里叶分析 发达国家 权函数
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GPA:基于多面体网格几何并行性的矩阵特征多项式异步因式分解器--纪念我国现代计算数学的开拓者之一周毓麟先生诞辰100周年
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作者 孙家昶 《中国科学:数学》 CSCD 北大核心 2023年第6期859-894,共36页
满足高次方程G^(m)=I的几何网格矩阵G,可在复数范围内进行因式分解,并且G与偏微分方程(partial differential equation,PDE)离散后的刚度矩阵A和质量矩阵B之间的乘法存在互易性:AG=GA,BG=GB,从而利用几何不变性可以将A正交分解为m-块对... 满足高次方程G^(m)=I的几何网格矩阵G,可在复数范围内进行因式分解,并且G与偏微分方程(partial differential equation,PDE)离散后的刚度矩阵A和质量矩阵B之间的乘法存在互易性:AG=GA,BG=GB,从而利用几何不变性可以将A正交分解为m-块对角块矩阵(m<N=dim(A)).本文在作者前期工作的基础上,继续深入研究求解数学物理方程离散特征值问题的几何网格异步因式分解算法(geometry pre-processing asynchronous algorithm,GPA),针对非规则的二维单元和典型三维单元(如六面体、四面体和十二面体单元等),提出计算PDE离散特征值问题的高效异步并行预处理降阶算法,给出相关的理论证明及数值计算实例.通过研究得到“三维几何网格预变换的并行度主要与多面体的面数成正比”的结论,并进一步揭示“几何网格矩阵与刚度矩阵的互易性对于特征值并行计算降阶算法的特殊重要性”。 展开更多
关键词 三维数理方程离散特征值 互易算子 几何块预处理子 特征值问题因式分解 异步并行算法
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Commutation of Geometry-Grids and Fast Discrete PDE Eigen-Solver GPA
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作者 jiachang sun Jianwen CAO +1 位作者 Ya ZHANG Haitao ZHAO 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2023年第5期735-752,共18页
A geometric intrinsic pre-processing algorithm(GPA for short)for solving largescale discrete mathematical-physical PDE in 2-D and 3-D case has been presented by Sun(in 2022–2023).Different from traditional preconditi... A geometric intrinsic pre-processing algorithm(GPA for short)for solving largescale discrete mathematical-physical PDE in 2-D and 3-D case has been presented by Sun(in 2022–2023).Different from traditional preconditioning,the authors apply the intrinsic geometric invariance,the Grid matrix G and the discrete PDE mass matrix B,stiff matrix A satisfies commutative operator BG=GB and AG=GA,where G satisfies G^(m)=I,m<<dim(G).A large scale system solvers can be replaced to a more smaller block-solver as a pretreatment in real or complex domain.In this paper,the authors expand their research to 2-D and 3-D mathematical physical equations over more wide polyhedron grids such as triangle,square,tetrahedron,cube,and so on.They give the general form of pre-processing matrix,theory and numerical test of GPA.The conclusion that“the parallelism of geometric mesh pre-transformation is mainly proportional to the number of faces of polyhedron”is obtained through research,and it is further found that“commutative of grid mesh matrix and mass matrix is an important basis for the feasibility and reliability of GPA algorithm”. 展开更多
关键词 Mathematical-physical discrete eigenvalue problems Commutative operator Geometric pre-processing algorithm Eigen-polynomial factorization
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MULTIVARIATE FOURIER TRANSFORM METHODS OVER SIMPLEX AND SUPER-SIMPLEX DOMAINS 被引量:5
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作者 jiachang sun 《Journal of Computational Mathematics》 SCIE EI CSCD 2006年第3期305-322,共18页
In this paper we propose the well-known Fourier method on some non-tensor product domains in Rd, including simplex and so-called super-simplex which consists of (d + 1)! simplices. As two examples, in 2-D and 3-D c... In this paper we propose the well-known Fourier method on some non-tensor product domains in Rd, including simplex and so-called super-simplex which consists of (d + 1)! simplices. As two examples, in 2-D and 3-D case a super-simplex is shown as a parallel hexagon and a parallel quadrilateral dodecahedron, respectively. We have extended most of concepts and results of the traditional Fourier methods on multivariate cases, such as Fourier basis system, Fourier series, discrete Fourier transform (DFT) and its fast algorithm (FFT) on the super-simplex, as well as generalized sine and cosine transforms (DST, DCT) and related fast algorithms over a simplex. The relationship between the basic orthogonal system and eigen-functions of a LaDlacian-like operator over these domains is explored. 展开更多
关键词 Multivariate Fourier transform Simplex and super-simplex Multivariate sine and cosine functions Eigen-decomposition for Laplacian-like operator Multivariate fast Fourier transform.
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