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matrix
- 求解三对角方程组,有详细的注释。 节省存储空间的算法-Solving tridiagonal equations, there are detailed notes. Algorithm to save storage space
Algorithm
- c# 数值计算源代码 复数运算 矩阵运算 线性代数方程组的求解 非线性方程与方程组的求解 -c# numerical source code plural computing matrix calculation of linear algebraic equations for solving nonlinear equations with the equations
3107002005_4th_jocabiGS
- 非线性方程组不能用消去和分解法进行求解,jacabi迭代和高斯迭代是最常用的两种迭代方法-Nonlinear equations can not be eliminated and the decomposition method to solve, jacabi iteration and Gauss iteration is the most commonly used two types of iterative methods
chap7(3)
- 非线性方程是常见的一类方程,非线性方程(组)的理论远不如线性方程(组)成熟和有效,特别是非线性方程组解的存在唯一性还没有完全解决,判断其解的存在性和解的个数几乎没有可行的办法。本例能使读者熟练掌握Matlab中的非线性方程求解相关的函数。-Nonlinear equations is common for a class of equations, nonlinear equations (group) is far below the theoretical linear equations
1-8
- %求解系数矩阵对称正定的线性方程组的最速下降法 - Solution of symmetric positive definite coefficient matrix of linear equations of the steepest descent method
Cxianxing
- 本文件是用C语言实现线性代数方程组的求解源程序-This document is used C language to achieve linear algebra equations source
Fangcheng
- 可以求解线性方程组的解!只要在源文件中设置方程系数即可!-Solving linear equations can be the solution! As long as the source file in the equation coefficients can be set up!
cholesky
- cholesky分解,求解一般的线性方程组很方便。-Cholesky decomposition, for solving general linear equations easily.
excel_in_civil_egineering
- 工量预测.xls 截面扭转特性.xls 截面特性一.xls 截面特性二.xls 最优化问题.xls 最值问题.xls 牛顿法解方程.xls 矩阵运算.xls 线性拟合.xls 解线性方程组.xls 解线性方程组(二).xls 辛普森法积分.xls 频率与振型求解.xls 双变量模拟运算.xls 多元线性回归.xls 多项式拟合.xls 实例1.xls 实例2.xls 实例3.xls
gauss2
- gauss法求解线性方程组fortran-Gauss method to solve linear equations fortran
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
lagelangri
- 这是一个用拉格朗日插值法求解方程组的解。程序不是很完善,多多包涵.-This is a Lagrange interpolation method of solution of equations. Process is not very perfect, forgive me.
shuzhi2
- 拉格朗日插值算法 牛顿插值多项式,用于离散数据的拟合 高斯列主元消去法,求解其次线性方程组-Lagrange polynomial interpolation Newton interpolation algorithm for discrete data, fitting out PCA Gaussian elimination method, followed by solving linear equations
gauss
- 运用高斯消去算法实现方程组的求解,里面有简单的界面设计和高斯消去算法设计-Use Gaussian elimination algorithm equations, which have a simple interface design and Gaussian elimination algorithm design
cifa
- 编程序,按如下要求来求解n元一次线性方程组(假设方程组具有唯一解)。 (1)方程个数n之值由用户通过键盘输入; (2)方程组存放在“增广矩阵”A之中,而n行n+1列的A存储空间通过new来动态分配,且A的各元素值也由用户通过键盘输入; -Allocation procedures, the following requirements to solve the n-a system of linear equations (assuming a unique solution
Guass_equation_double
- 利用gauss分解求解线性方程组,并得到最有解-Using Gauss decomposition for solving linear equations, and the most solvability
Gauss
- 高斯消元,求解线性方程组,高斯消元,求解线性方程组-Gauss, solving linear equations, Gauss elimination, for solving linear equations
Gauss2
- 列主元高斯消去:解方程组用,在实际使用高斯消去法时,常结合使用“选主元”的技术以避免零主元或小主元的出现,以便保证高斯消去发的正常进行或改善求解过程的数值稳定性。-PCA out Gaussian elimination: Solution of equations used in the actual use of Gaussian elimination method, often combined with the use of PCA election technology in o
Jacobi
- 雅克比迭代:线性代数方程组的迭代法与直接方法不同,他不能通过有限次的算术运算球的方程组的精确解,而是通过迭代逐步逼近他。该法是求解具有大型系数系数矩阵的线性方程组的重要方法之一。-Jacobian iteration: linear algebraic equations of the iteration method and direct way, he can not be limited times arithmetic equations ball exact solution, but
Jacobi
- JACOBI迭代求解线形方程组的问题,其中有代码-JACOBI iterative linear equation group, including code