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LU法求解线性方程组,可以用于求解任意的线性方程组,非常有用.-LU method of linear equations, which can be used to solve arbitrary linear equations, very useful.
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C语言解决线形方程组的高斯消去法，以及源代码-C language to solve linear equations Gaussian Elimination Act, as well as source code
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内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求解-VB -Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation and non-linear eq
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采用cuda求解大规模线性方程组，简单迭代法实现，是学习cuda编程的很好例子-Cuda used linear equations to solve large-scale, simple iterative method to achieve is a good example of learning cuda programming
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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) between the steepest descent between law and Newton'
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matlab 高斯列主元消去法求解线性方程组程序，可用于求解任何元数方程组-Matlab gaussian column primary elimination method solving system of linear equations procedures, can be used to solve any yuan number 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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solve linear system of equations using gau-solve linear system of equations using gauss
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采用列主元高斯消去法求解线性方程组，可供初级学习参考使用，也可求解较复杂线性方程组。(The column principal element Gaussian elimination method is used to solve the linear equations, which can be used for primary learning reference and can solve the more complex linear equations.)
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cuda加速，采用LU分解法求解线性方程组(CUDA accelerated, using LU decomposition method to solve linear equations)
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用于求解线性方程组，采用快速的迭代方法，能够有效的减少迭代次数，尽快获得收敛解。(It is used to solve linear equations and adopts a fast iterative method, which can effectively reduce the number of iterations and obtain a convergent solution as soon as possible.)
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