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Search Results: 1 - 10 of 86739 matches for " 孙家昶 "
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网络并行虚拟平台PVM 3

计算机系统应用 , 1994,
Abstract: 网络机群系统是并行系统与应用的一个重要发展方向。它具有高性能价格比、灵活性强以及可扩展性等优点,适合我国国情。异构网络并行虚拟平台PVM(ParallelVirturalMachine)是国际上近年推出的软件系统,已被众多计算机公司所接受为公共标准化的并行软件平台。一批高水平的串行软件正在逐步移植到PVM平台上。本文主要取材于PVM3.0的使用说明,同时也参考了有关的材料,较详细介绍PVM3的功能以及使用。
A CLASS OF LOCAL GREEN-LIKE PARALLEL PRECONDITIONER ALGORITHMS FOR ELLIPTIC DISCRETE EQUATIONS:I. BASIC METHODS
椭圆离散方程并行预条件子的局部构造算法 Ⅰ.基本方法


计算数学 , 1995,
Abstract: In this paper, a class of local constructive algorithms on designing parallel preconditioners is presented for solving large scale elliptic equations. Convergence rate and related properties of the iteration scheme are studied. Numerical tests done on a transputer with 16 processors show that the preconditioner has high parallelism.
GENERALIZED SPLINES IN LOCAL COORDINATES
广义局部坐标样条


计算数学 , 1980,
Abstract: A spline in local coordinates which is more general than that in 1] isconsidered. The spline curve in such a case is independent of the reference local coordinatesystem. Hence the splines in both local coordinate in 1] and ordinary one are joined togetherin a more general sense.
AN IDENTITY OF TRI-DIAGONAL DETERMINANT AND ITS APPLICATIONS
三对角线阵行列式恒等式及应用


计算数学 , 1982,
Abstract: An explicit formula of tri-diagonal d terminant is presented. It can be appliedto the localization of eigenvalues, the explicit formula of orthogonal polynomials, forexample, Chebyshev Polgnomials, and to derive some identities, being the solution ofsecond order difference equations.
THE B-NET APPROACH TO B-SPLINES IN ONE DIMENSION
一元B样条的B网观点


计算数学 , 1989,
Abstract: A new approach to splines, B-net approach, is proposed in order to provide a new pow-erful tool for studying splines in the multivariate case, and to make new algorithms for pie-cewise polynomials. Some recurrences of B-net coefficients are derived, and their propertiesare investigated for B-splines in one dimension.
ON THE MINIMUM EIGENVALUE SEPARATION FOR MATRICES
矩阵特征值分离度的下界


计算数学 , 1985,
Abstract: The minimum eigenvalue separation of a matrix is defined as the minimum of di-stances between distinet eigenvalues. Some lower bounds of the separations are derivedfor tridiagonal matrices in this paper. For Hermitian matrices, a Lonezos algorithm isdesigned to reduce them to tridiagonals with special forms. Two examples are givento show the improvement of the given estimation.
THE B-NET STURCTURE AND RECURRENCE ALGORITHMS FOR B-SPLINES IN THREE DIRFCTIONS
二元三方向剖分中B样条的B网结构与递推算法


计算数学 , 1990,
Abstract: Two kinds of explicit recurrence algorithms for evaluating B-splines in three directions are presented in terms of B-net in this paper. These algorithms may be used to compute the B-net coefficients of B-splines in spaces S_(3v)~(2v-1)and S_(3v+1)~2v, only using the simplest B step function and piecewise linear function, respectively. The results are a generalization of the so called de Boor-Cox recurrence of B-splines in one dimension to the case of three directions in two dimensions. As an example of the recurrence, the B-net coefficients of B-spline is S_6~3 is given.
THE APPROACH OF FOURIER TRANSFORM TO MULTIVARIATE B-SPLINES
多变量B-样条的Fourier变换的观点


计算数学 , 1986,
Abstract: The approach of Fourier transform to multivariate B-splines is studied. Twomain recurrences of multivariate B-splines have been directly proved without any ad-vanced knowledge.
广义本征值并行计算及在晶体能带中的应用

科学通报 , 1997,
Abstract: 本文提出一个利用“黑匣子”思想并行求解高阶广义矩阵本征问题的分块消去迭代算法,并在国家智能计算机研究开发中心研制的大规模并行计算机曙光1000上成功地解算了非线性光学晶体电子结构计算中的1572阶复共轭对称矩阵偶的广义矩阵本征问题,应用于中国科学院福建物质结构研究所陈创天等人发现的LBO非线性光学晶体电子结构分析,使用能带方法完成了该晶体电子态的自治计算.我们对新算法进行了迭代过程收敛性、误差分析、并行设计、并行效率的分析研究与数值实验.
A NEW ALGORITHM FOR FINDING PARTIAL SUM OF EIGENVALUES OF NONLINEAR SCHRODINGER EQUATION
求解非线性Schrdinger方程本征值部分和的新算法


计算数学 , 2002,
Abstract: In this paper, we present a new algorithm for finding the partial sum of eigenvalues of Schrodiger equation, instead of the usual so-called self-consistency method. By using space decomposition and Rayleigh method, our approximation for minimum related non-quadratic functional is provided. Some numerical tests show this new algorithm is more efficient and more scalable than the usual self-consistency methods.
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