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The matlab code is designed to solve linear systems of equations using the Jacobi Method.
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解决MxN阶线性方程组，采用高斯消元法，可显示无解，一解和多解结果。-Solve the MxN-order linear equations using Gaussian elimination can be no solution, one solution, and the results of the multiple solutions.
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RK4演算法，可用於解決線性及非線性微分方程-RK4 algorithm can be used to solve linear and non-linear differential equations
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运用LU分解法来解线性方程组
可以改变N 来解N阶线性方程-N to solve N linear equations using LU decomposition method for solving linear equations can be changed
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本例是matlab算法实例，利用matlab实现非线性方程求解。-Using matlab to achieve a non-linear equation solver
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三节点有限元方法的计算，劲度矩阵式12*12的，可以有效求解出结点位移，结点应力，求解线性方程组方法简单-Three-node finite element method calculation stiffness matrix 12* 12, can effectively solve the nodal displacements, nodal stresses, simple method for solving linear equations
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误差的来源
非线性方程（组）的数值解法
解线性方程组的直接方法
解线性方程组的迭代法
矩阵的特征值与特征向量的计算
函数的插值方法
函数逼近与曲线（面）拟合
数值微分
数常微分方程（组）求解值积分
-The source of the error
Numerical method for solving the nonlinear equation (group)
The direct method of solving linear
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solve linear system of equations using gau-solve linear system of equations using gauss
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调用THOMAS函数求解三对角矩阵线性方程组-solve tridiagonal matrices of linear equations with THOMAS function
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线性方程组的解法
全主元高斯－约当(Gauss-Jordan)消去法
用高斯－约当消去法求解A[XY]=[BI]，其中A为n*n非奇异矩阵，B为n*m矩阵，均已知；X(n*m)，Y(n*n)未知。-Solution of linear equations the main yuan Gaussian- Jordan (Gauss-Jordan) elimination method Gauss- Jordan elimination method to solve A [XY] = [B
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本文利用Ping-Liang Rui，Ru-Shan Chen提出的一种基于多层快速多极子（MLFMA）谱域两步预处理方法，来求解在单站RCS计算时产生的有多个右边项的大型线性方程组。-In this paper, Ping-Liang Rui, Ru-Shan Chen proposed based on multilevel fast multipole (MLFMA) spectral-domain two-step pretreatment method to solve the mon
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共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。这里给出共轭梯度法的源程序-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and
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共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s
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matlab 程序代码 线性系统 龙格库塔法 可以解微分方程-matlab code linear system can solve differential equations Runge-Kutta method
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Seidel算法解方程组,用于对线性方程组进行迭代求解初值可任选-Seidel algorithm for solving equations, linear equations used to iteratively solve initial value may be optionally
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DC Defect Correction Method.
X = DC(A,B) attempts to solve the system of linear equations A*X = B
for X. The N-by-N coefficient matrix A must be square and the right
hand side column vector B must have length This uses the defect
correctio
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次程序是用MATLAB语言编写的高斯赛德尔迭代法，可用于求解线性微分方程组。-Second procedure is used MATLAB language high Sisaideer iterative method can be used to solve linear differential equations.
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In linear algebra, LU decomposition (where LU stands for Lower Upper , and also called LU factorization) factors a matrix as the product of a lower triangular matrix and an upper triangular matrix. The product sometimes includes a permutation matrix
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对给定的线性方程组采用高斯消元法进行求解，可以给定方程阶数-For a given set of linear equations using Gaussian elimination method to solve, you can order a given equation
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解线性方程组，从初始向量X(o)开始逐渐收敛于真值X*-solve the system of linear equations,the program begin with the initial vector and converge to true value gradually.
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