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数值分析中的各种插值
- Lagrange插值+Newton插值+分段线性插值+复合梯形公式求定积分+列主元高斯+牛顿迭代+数据拟合+线性方程组迭代+++追赶法(1)
GaussSeide
- 实验题目：求解线性代数方程组的迭代法 相关知识：求解线性代数方程组的Gauss-Seidel迭代法的计算公式如下 数据结构：一个一维数组和一个二维数组 算法设计：用Gauss-Seidel迭代法求解线性代数方程组的算法如下 第一步：对于i=1，2，…，n （取零向量为初始向量） 第二步：e←0 第三步：对于i=1，2，…，n ⑴ ⑵对于j=1，2，…，n但 ⑶ ⑷若 ，则 ⑸ 第四步：若 （预先给定的误差精度），则转
gauss
- 用于求解线性方程组的经典高斯迭代法！！！程序经过优化处理，运行速度快，且注释完全易于阅读，欢迎大家下载-Solving linear equations for the classical iterative method of Gauss! ! ! Optimized procedures to deal with, fast, and completely easy-to-read notes, welcome you to download! !
spgs
- 用途：利用二分法快速求解非线性方程f(x) = 0； 用向量形式（普通存储格式）的Gauss-Seidel迭代解线性方程组Ax=b；Newton迭代法解非线性方程f(x) = 0；用分量形式的SOR迭代解线性方程组Ax=b；用向量（稀疏存储）形式的Gauss-Seidel迭代解线性方程组Ax=b -Purposes: the use of dichotomy quickly solving nonlinear equations f (x) = 0 with vector form o
SOR
- 这是松弛迭代法(SOR)的源代码,对解决线性方程组求解问题很有帮组-This is a relaxation iterative method (SOR) of the source code to solve linear equations to solve the problem is to help group
Iteration
- 迭代法求解线性方程组的具体方法以及不同方法之间的比较-Iterative method for solving linear equations of the specific methods and comparison between different methods
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- 线性方程组的迭代法与数值积分的实验报告，比较详细 -Linear iteration and numerical integration of the laboratory report, more detailed
Gauss-Seidel
- 高斯迭代法求线性方程组，用于数值分析方面，-Gauss-Seidel
gauseidel-jacobi-richason-SOR
- 高斯赛德尔迭代法，雅可比迭代法，理查森迭代算法，超松弛迭代算法的matlab程序。上述算法均用于求解线性方程组。-High Sisaideer iterative method, Jacobi iteration, Richardson iterative algorithm, over relaxation algorithm matlab program. The algorithm for solving linear equations.
XianXing
- 线性方程组的求解方法，内涵高斯消元法、LU分解法和迭代法。-failed to translate
Gauss-Seidel
- 用Gauss-Seidel迭代法求解线性方程组，输入文件及线型方程组的内容放在Gauss-seidel文件中。-With the Gauss-Seidel iterative method for solving linear equations, linear equations of the input file and the contents on the Gauss-seidel file.
GAUSDL
- 高斯迭代法求解线性方程组，数值方法与计算机实现-Gauss iterative method for solving linear equations, numerical methods and computer implementation
GuassSeider
- 高斯赛德尔迭代法和雅可比迭代法求解线性方程组。-Iteration solving system of linear equations
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- 基于c的gauss-siedel与SOR迭代法解线性方程组的通用程序，并通过试探解给出最好的松弛因子。-C based on a common program of gauss-siedel and SOR iterative method for solving linear equations, and through trial solution gives the best relaxation factor.
MATLAB-algorithms-assemblies
- matlab常用算法程序集，包括插值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、解线性方程组的直接法、解线性方程组的迭代法，随机数生成、特殊函数计算、常微分方程的初值问题、偏微分方程的数值解法、数据统计和分析-matlab commonly used algorithm for assembly, including interpolation, function approximation, eigenvalue calculations, numerical
SOR
- 逐次超松弛迭代法解线性方程组的matlab命令程序-SOR iterative method for solving linear equations matlab command program
高斯-赛德尔迭代法求线性方程组Ax=b的解
- 该程序主要是利用高斯-赛德尔迭代法求线性方程组Ax=b的解(The program mainly uses the Gauss-Seidel iteration to solve the solution of the linear system Ax = b)
GausANDJacobian
- 高斯消元以及Jacobian迭代求解线性方程组，有详细的注释(Gauss elimination and Jacobian iterative solution of linear equations have detailed annotations)
SOR
- 超松驰迭代法，用于快速求解线性方程组，可按每行注释理解算法原理，可自行调整松弛因子（一般建议1.2左右有良好效果）(The super relaxation iteration method is used to solve the linear equations quickly. It can understand the algorithm principle according to each row annotation, and can adjust the relaxation f
5线性方程组的迭代解法—Jacobi迭代法
- 使用matlab编写了Jacobi迭代法的函数，并通过例子进行了验证。(The function of Jacobi iteration method is written by MATLAB, and is verified by an example.)