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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 between a law an
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数值计算的C ++库的程序集进行数值和统计
计算。包括在这个库中的例程来解决线性系统
方程，生成随机数，随机变量的计算值，以及
因为这通常需要在科学和工程的各种其他例程
领域以及其它学科。-Numerics C++ Library is a collection of routines to do numerical and statistical
computations. Included in this library are routines to solv
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Gauess-Sidel Method for solve non linear equations
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Jacobi Method for solve non linear equations
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LU Method for solve non linear equations
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In numerical analysis, 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 mat
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求解大型对称或非对称方程组，采用稀疏矩阵存储及求解算法，在电力系统仿真分析软件中得到应用-Sparse1.3 is a flexible package of subroutines written in C used to
quickly and accurately solve large sparse systems of linear equations. The
package is able to handle arbitrary real and complex
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鱼群算法解决优化问题，包括线性非线性方程方程组，亲试可为-Fish algorithm to solve optimization problems, including linear equations of nonlinear equation and try for
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这是高斯列主元消去法的完整程序，可以求解线性方程组-This is the Gaussian elimination method PCA out a complete program, you can solve the linear equations
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超松弛因子迭代法求解大型线性方程组的MATLAB程序-Super relaxation factor iteration method to solve large linear equations of the MATLAB program
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jakubian method to solve the non-linear equations
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GMRES算法，求解大型稀疏线性方程的快速数值解法，方便实时求解-GMRES algorithm is prosed to solve Large- scale sparse linear equations
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本程序为线性方程组的matlab代码，主要比较了CG,Lanczos和MINRES三种方法解方程Ax=b的效果。-This program is linear equations matlab code, the main comparison of CG, Lanczos and MINRES three ways to solve the equation Ax = b in effect.
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求解线性方程组，可以选泽不同方法求解，有利于初学者使用-Solving linear equations, you can choose different ways to solve Chak, help beginners
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矩阵分解与线性方程组直接方法，里面包含了多种求解方程组的方法-Direct matrix factorization method and system of linear equations, which contains a variety of methods to solve equations
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线性方程组的高效迭代方法，包括各种Krylov迭代-iteration method to solve the linear equations， including Krylov method
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使用高斯消去法求解线性方程组，可用于有限元节点位移的求解-Solving linear equations using Gaussian elimination, it can be used to solve the finite element nodal displacement
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全选主元高斯-约当消去法求解稀疏线性方程组
输入参数a[]系数矩阵，n线性方程阶数，b[]右端项
输出参数b[]方程组的解
返回值 ： 1求解成功 0求解失败-Select the main element Gauss- Jordan elimination method for solving sparse linear equations
Input parameters a [] coefficient matrix, n order linear equations, b
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在科学与工程计算中，经常遇到求解非线性方程组的问题；非线性方程组在收敛速度及收敛性比线性方程组要差，特别对于非凸的非线性方程组，其求解更是困难。下面简要介绍非线性方程组的三种解法——牛顿法、拟牛顿法、同伦算法，分析三种解法的适用性，并附Matlab原程序。-Scientific and engineering computing, often encounter the problem of solving nonlinear equations speed of convergence of
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用于求解线性方程组，输入参数为方程组的系数矩阵。-Solve the Linear Equations.
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