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。
With LDLT decomposition method to solve linear equations of the process of demonstration, I am the original, the test is correct, containing detailed notes.
用LDLT分解方法解线性方程组的过程演示，本人原创，测试无误，内含详细注释。
This test is well suited to speed test computers meant to run scientific applications and simulations because they tend to solve linear equations at some stage or another.
这个测试非常适合用来测试那些要运行科学应用程序和模拟的计算机，因为它们都要在某些步骤上试图对线性方程进行求解。
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。
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。
, this is my plan, the fundamental problem of linear algebra, which is to solve a system of linear equations.
，这是我的计划：线代的基本问题是用来解线性方程组（systemof linear equations）。
This paper deals with the linear programming of absolute values, and USES it to solve the parametric estimated value of regressive equations.
讨论了绝对值线性规划问题，并利用它解决了回归方程的参数估计值。
First of all, a non-linear Schrodinger equation can be converted into homogeneous equations, and then the precise integration method can be used to solve these problems.
首先将非线性薛定谔方程变形为齐次方程的形式，然后用精细积分法模拟其随时间的演化过程。
This paper puts forward the row action method to solve a system of linear equations with partial determinate variables, and analyses the convergence of this method.
给出含部分已定值变量的线性方程组的行处理法迭代解法，并分析算法的收敛性。
Uses a reduced-Newton algorithm with a weak line search to solve a set of non-linear algebraic equations.
使用简化的牛顿计算方法和弱队列搜索来解决一系列的非线性代数方程。
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。
We introduce an algorithm for tridiagonal and block tridiagonal equations: SPP algorithm, which can be extended to solve general narrow-banded sparse linear equations.
介绍了三对角型方程组的SPP算法，将之推广来求解一般的带宽较窄的带状或者稀疏带状线性方程组。
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。
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。
Locally implicit finite element method is a satisfactory numerical method to solve non-linear partial differential equations for its unconditional stability and its high rate of convergence.
认为局部隐式有限元法是一种绝对稳定的方法，且具有快速收敛的性质，是求解非线性偏微分方程的一种有效的数值算法。
Linear differential equations are, generally speaking, among the simplest to solve.
一般说来，线性微分方程属于解起来最简单的一种。
On the base of a variety of calculation of matrix used on the empowering bipartite graph, the solutions are further given to solve the linear equations in the graphs.
本文在赋权二部图上施行矩阵的各种运算之基础上，进一步给出用图求解线性方程组的方法。
Measured in the least squares adjustment of the function model to solve problems, eventually reduced to the problem of linear equations.
在最小二乘测量平差的函数模型求解问题中，最后都归结为线性方程组的求解问题。
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。
In this paper, a recurrence formula is given, by use of dynamic programming method, to solve the problem of linear algebraic equations with symmetric martrix element of...
本文用动态规划方法对一类对称的矩阵元三对角型线性方程组给出一种递推算法。
In this paper, a recurrence formula is given, by use of dynamic programming method, to solve the problem of linear algebraic equations with symmetric martrix element of tri-diagonal ty...
本文用动态规划方法对一类对称的矩阵元三对角型线性方程组给出一种递推算法。
Traverses the BP arithmetic to solve non-linear equations in one variable, presents and proves the convergence theorem of the arithmetic, shows the application example.
遍历BP算法来解决非线性方程的一个变量，提出并证明了该算法的收敛性定理，给出了应用示例。
Finally, the boundary condition and initial value are used to solve the linear equations so as to obtain the corresponding results.
最后，利用边界条件和初值条件求解线性方程组，得出相应结果。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
In order to solve the high order linear system of equations, we have used the frontal method with high accuracy and considerable economy of main memory space.
用节省内存空间而精度又高的波前法来求解此特大型方程组。
In order to solve the high order linear system of equations, we have used the frontal method with high accuracy and considerable economy of main memory space.
用节省内存空间而精度又高的波前法来求解此特大型方程组。
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