• The Linpack benchmark is designed to solve a large number of dense linear equations.

    Linpack基准设计用来求解大规模稠密线性方程。

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  • Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.

    Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题,另外还有其它功能。

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  • In this paper, a hybrid optical-digital system is presented to solve a set of linear equations in iterative fashion.

    本文提出一种用于迭代法求解线性方程组的光电混合系统。

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  • These equations are interval linear equations.

    该控制方程是线性区间方程组。

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  • The block iteration method is used in solving these linear equations.

    采用收敛速度快的块迭代法解代数方程组。

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  • Such steps mean the simultaneous solution of either two linear equations.

    这样的步骤意味着同时求解两个线性方程。

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  • A paralleling solver to the linear equations in net environment is realized.

    实现了一个在网络环境下求解线性方程组的并行求解器。

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  • Large sparse system of linear equations are solved by sparse matrix methods.

    利用稀疏矩阵技术求解大型稀疏线性方程组。

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  • PCG is used to solve the linear equations, boosting the ability for morbid equations.

    在线性方程组求解的过程中采用了PCG法,增强了对病态方程组的求解能力。

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  • Of course, these methods can also be used to solve other systems of linear equations.

    当然,此种方法还可以用来求解其它一些方程组。

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  • Several lectures are devoted to solving non-linear equations, including root finding.

    另外也有几堂课用来求解非线性方程式,包括求根;

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  • A paralleling solver to the linear equations in multiprocessor environment is realized.

    实现了一个在多处理机环境下线性方程组的并行求解器。

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  • The method to solve linear equations is described and some examples of computerization are given.

    叙述了解线性方程组的方法,并给出几个用计算机处理的算例。

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  • Swiss mathematician who is known today for Cramer's rule for solving a system of linear equations.

    瑞士数学家,因解线性方程组的克莱姆法则而为今人所知。

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  • This paper discussed a new solution to homogeneous linear equations, hiding basic solutions in a matrix.

    本文讨论用矩阵的初等变换求得基础解系的另一种方法,使基础解系隐含在一个矩阵之中。

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  • Newton Raphson method is used to solve the non linear equations piloted in displacements or in arc length.

    非线性方程采用位移引导或弧长引导的牛顿-拉夫森增量迭代法求解。

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  • Several properties about matrix with consistent perturbation are studied and applied into linear equations.

    研究了矩阵列(行)一致扰动的几个性质,并应用于线性方程组。

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  • This paper discusses parallel direct methods for large scale sparse linear equations come from CFD problems.

    讨论了由CFD问题得到的大型稀疏线性方程组的并行直接法求解问题。

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  • Approximate solutions for the coupled non-linear equations are obtained for the velocity and the temperature.

    求得了速度和温度的耦合非线性方程组的近似解。

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  • In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.

    文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。

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  • Algebra is stepping up: Prepare for linear equations and inequalities, and systems of equations in two variables.

    代数的比重则会增加,考生要在线性方程、不等式、二元方程等方面做好准备。

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  • With the help of auxiliary variables or plane, a graphical solution for homogeneous linear equations is presented.

    借助于辅助变量,或辅助平面,提出了齐次线性方程组的图解法。

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  • The inverse problems are researched on linear transformation, system of linear equations, diagonalizing of matrix, and so on.

    本文就线性代数中几个重要知识点:线性变换、线性方程组的解、矩阵对角化等的逆向问题进行研究。

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  • Analyzing inverse DFT, we obtained a system of linear equations, whose solution can be taken as the spectrum of the data series.

    通过对离散傅立叶逆变换的分析,我们得到一个线性方程组,它的解可以作为序列的谱。

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  • Kepler s equations can be solved with the gradual approach, which can be further extended to the solution of the non-linear equations.

    求解开普勒方程可用逐次逼近法,这种方法还可推广到非线性方程的求解问题中。

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  • This paper deals with the system of linear equations with matrix variables and gives the sufficient and necessary condition of consistency.

    本文讨论以矩阵为变量的线性方程组,给出相容性的充要条件。

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  • Since it is an inverse problem, numerical techniques, such as discretization of the integral into a system of linear equations, are necessary.

    由于这是一个反问题,一些数字技术比如将积分离散化为一个线性方程组是必需的。

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  • Linear distortion model is used and distortion coefficients are obtained by resolving over-determined linear equations and least square method.

    采用线性畸变模型,由最小二乘法解线性方程组得到摄像系统畸变模型的畸变系数。

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  • Linear distortion model is used and distortion coefficients are obtained by resolving over-determined linear equations and least square method.

    采用线性畸变模型,由最小二乘法解线性方程组得到摄像系统畸变模型的畸变系数。

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