广义严格对角占优矩阵新的判定准则

In this paper we provide the new criteria for a strictly generalized diagonally dominant matrix, and it proves by an example that the results of this paper extend the results in[6]. In addition, we obtain the criteria of the nonsingular M-matrix.     

夜视仪器的变焦镜头动态

夜视仪器的变焦镜头动态沈海龙，高志山，孙培家（南京理工大学南京２１００９４）本文叙述了近１０年来国内外红外变焦距镜头、微光变焦距镜头系统的发展状况和技术动态，指出目前存在的问题，及未来的发展方向。认为随着相关技术的飞速发展，夜视仪器用变焦距镜头系统在...     

关于照相物镜色贡献指数容限的讨论

关于照相物镜色贡献指数的国际标准于1983年公布。但是,关于色贡献指数(ISO/CCI)的容限仍保留在附录中,并以建议的形式给出。本文从色度学基本公式出发,对相应于容限范围内六个边缘点的照相物镜,计算了它们摄影效果的色度坐标。同时计算了它们和ISO标准照相物镜的摄影效果在均匀颜色空间的色差值。据此讨论了该容限的合理性,并提出把容限范围划分成两个区域的建议。     

求解加权线性最小二乘问题的预处理迭代方法

给出了求解一类加权线性最小二乘问题的预处理迭代方法,也就是预处理的广义加速超松弛方法（GAOR）,得到了一些收敛和比较结果．比较结果表明当原来的迭代方法收敛时,预处理迭代方法会比原来的方法具有更好的收敛率．而且,通过数值算例也验证了新预处理迭代方法的有效性．     

阶梯矩阵及其一般化在迭代法中的应用

Lu Hao首先给出了阶梯矩阵及其一般性的定义和性质．这类矩阵为迭代法提供了新矩阵分裂的基础．基于此新矩阵类的迭代方法的显著特征是它对于并行计算很容易被实现．应用这一新的分解方法,给出了一般的加速松弛方法（GAOR）,而关于AOR方法的一些性质可以被延伸到该新方法中,并针对Hermite正定矩阵进行了新方法收敛性的分析．最后,给出了一些例子来表明新方法的优越性．     

基于梯度的Sylvester共轭矩阵方程的迭代解

本文提出了一种基于梯度的Sylvester共轭矩阵方程的迭代算法.通过引入一个松弛参数和采用递阶辨识原理,构造一个迭代算法求解Sylvester矩阵方程.通过应用复矩阵的实数表达以及实数表示的一些性质,收敛性分析表明在一定假设条件下,对于任意初始值,迭代方法均收敛到精确解,数值算例也表明了所给方法的有效性.     

APPLICATIONS OF STAIR MATRICES AND THEIR GENERALIZATIONS TO ITERATIVE METHODS

Stair matrices and their generalizations are introduced. The definitions and some properties of the matrices were first given by Lu Hao. This class of matrices provide bases of matrix splittings for iterative methods. The remarkable feature of iterative methods based on the new class of matrices is that the methods are easily implemented for parallel computation. In particular, a generalization of the accelerated overrelaxation method (GAOR) is introduced. Some theories of the AOR method are extended to the generalized method to include a wide class of matrices. The convergence of the new method is derived for Hermitian positive definite matrices. Finally, some examples are given in order to show the superiority of the new method.     

Preconditioned iterative methods for solving weighted linear least squares problems

A class of preconditioned iterative methods,i.e.,preconditioned generalized accelerated overrelaxation(GAOR) methods,is proposed to solve linear systems based on a class of weighted linear least squares problems.The convergence and comparison results are obtained.The comparison results show that the convergence rate of the preconditioned iterative methods is better than that of the original methods.Furthermore,the effectiveness of the proposed methods is shown in the numerical experiment.     

求解Time-dependent Stokes方程的含参数双预优迭代算法

Time-dependent Stokes方程在离散动力学系统和科学计算中具有非常重要的作用,而它的求解非常困难.针对Time-dependent Stokes方程利用双预优方法构造了一种新型的含参数双预优迭代解法,并给出了新方法的收敛性分析,同时还讨论了参数的取值范围.最后用数值算例又验证了新方法的可行性和有效性.     

Modified iterative method for augmented system

The successive overrelaxation-like(SOR-like) method with the real parameters ω is considered for solving the augmented system. The new method is called the modified SOR-like(MSOR-like) method. The functional equation between the parameters and the eigenvalues of the iteration matrix of the MSOR-like method is given. Therefore, the necessary and sufficient condition for the convergence of the MSOR-like method is derived. The optimal iteration parameter ω of the MSOR-like method is derived. Finally, the proof of theorem and numerical computation based on a particular linear system are given, which clearly show that the MSOR-like method outperforms the SOR-like(Li, C. J., Li, B. J., and Evans, D. J. Optimum accelerated parameter for the GSOR method. Neural, Parallel Scientific Computations, 7(4), 453–462(1999)) and the modified symmetric SOR-like(MSSOR-like) methods(Wu, S. L., Huang, T. Z., and Zhao, X. L. A modified SSOR iterative method for augmented systems.