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关于正线性方程组正解的判定定理
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作者 吕黎明 《大学数学》 北大核心 2007年第3期161-163,共3页
给出正线性方程组正解的概念,给出并证明了正线性方程组正解的若干判别方法,对教学有一定的指导意义.
关键词 正线性方程组 判定定理
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正线性方程组正解判别的两个结果
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作者 李志斌 唐永春 《大连铁道学院学报》 2003年第1期1-3,共3页
非齐次线性方程组在科学计算和日常生活中会经常出现的,在研究实际问题中也会接触系数和右端项皆为正的方程组,而研究它有正解更有实际意义.对正线性方程组给出了合理的变形,对其正解的判别给出了若干方法,得到一些重要结果.
关键词 正线性方程组 判别方法 变形 非齐次线性方程组
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正线性方程组的半正解 被引量:2
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作者 王明城 邓培民 《大学数学》 2011年第2期75-79,共5页
通过引入正线性方程组Ax=b的可去变量,得到了没有可去变量的正线性方程组有无穷多个半正解情形的充分必要条件以及有惟一半正解情形的充分必要条件.
关键词 正线性方程组 可去变量
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正线性方程组正解的判别 被引量:3
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作者 王殿选 禹海兰 高益明 《Journal of Mathematical Research and Exposition》 CSCD 1997年第4期601-604,共4页
本文给出了正线性方程组正解的概念。
关键词 正线性方程组 不可约矩阵 判别
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线性方程组的正解 被引量:2
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作者 彭声羽 《大学数学》 北大核心 2006年第6期148-154,共7页
讨论了线性方程组正解的若干性质,给出了线性方程组有正解的一个充要条件,以及由此得到的求正解的一般方法,还介绍了正解问题的若干应用.
关键词 减列方程组 极小方程组 线性方程组
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Fracture analysis near the interface crack tip for mode Ⅰ of orthotropic bimaterial 被引量:2
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作者 YANG XiaoMei YANG WeiYang +1 位作者 LI JunLin ZHANG XueXia 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第4期785-797,共13页
The mechanical behaviors near the interface crack tip for mode Ⅰ of orthotropic bimaterial are researched. With the help of the complex function method and the undetermined coefficient method, non-oscillatory field i... The mechanical behaviors near the interface crack tip for mode Ⅰ of orthotropic bimaterial are researched. With the help of the complex function method and the undetermined coefficient method, non-oscillatory field if the singularity exponent is a real number, and oscillatory field if the singularity exponent is a complex number are discussed, respectively. For each case, the stress functions are constructed which contain twelve undetermined coefficients and an unknown singularity exponent. Based on the boundary conditions, the system of non-homogeneous linear equations is obtained. According to the necessary and sufficient condition for the existence of solution for the system of non-homogeneous linear equations, the singularity exponent is determined under appropriate condition using bimaterial parameters. Both the theoretical formulae of stress intensity factors and analytic solutions of stress or displacement field near the interface crack tip are given. When the two orthotropic materials are the same, the classical results for orthotropic single material are deduced. 展开更多
关键词 interface crack for mode stress intensity factor STRESS DISPLACEMENT orthotropic bimaterial
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An orthogonally accumulated projection method for symmetric linear system of equations 被引量:2
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作者 PENG Wu Jian LIN Qun ZHANG Shu Hua 《Science China Mathematics》 SCIE CSCD 2016年第7期1235-1248,共14页
A direct as well as iterative method(called the orthogonally accumulated projection method, or the OAP for short) for solving linear system of equations with symmetric coefficient matrix is introduced in this paper. W... A direct as well as iterative method(called the orthogonally accumulated projection method, or the OAP for short) for solving linear system of equations with symmetric coefficient matrix is introduced in this paper. With the Lanczos process the OAP creates a sequence of mutually orthogonal vectors, on the basis of which the projections of the unknown vectors are easily obtained, and thus the approximations to the unknown vectors can be simply constructed by a combination of these projections. This method is an application of the accumulated projection technique proposed recently by the authors of this paper, and can be regarded as a match of conjugate gradient method(CG) in its nature since both the CG and the OAP can be regarded as iterative methods, too. Unlike the CG method which can be only used to solve linear systems with symmetric positive definite coefficient matrices, the OAP can be used to handle systems with indefinite symmetric matrices. Unlike classical Krylov subspace methods which usually ignore the issue of loss of orthogonality, OAP uses an effective approach to detect the loss of orthogonality and a restart strategy is used to handle the loss of orthogonality.Numerical experiments are presented to demonstrate the efficiency of the OAP. 展开更多
关键词 iterative method accumulated projection conjugate gradient method Krylov subspace
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