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学习和掌握用平方根法求解线性方程组;
熟悉运用用平方根法求解线性方程组解决实际问题。
- Learning and mastering square root method for solving linear equations
熟悉运用用平方根法求解线性方程组解决实际问题。
Familiar with the use of square root method for solving linear equations to solve practical
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列主元高斯消去法,可以解决线性方程组数值解法的问题-Gauss elimination method can solve the problem of numerical solution of linear equations
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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。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate gradient method (Conjugate Gradie
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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。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-The Conjugate Gradient method is a method b
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cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式,可运用于回归系数求解,线性方程组求解中
逐步回归是在回归分析的建模过程中用于变量筛选的有效方法,这里同时进行了向前和向后回归,效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
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雅可比迭代的MATLAB代码,可以求解一些线性方程组
用鼠标作图(The MATLAB code of Jacobi iterative, you can solve some linear equations
Plot with a mouse)
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程序可以求解线性方程组,迭代速度相对较快,复杂度O(Nlog(N))(The program can solve the linear equations, the iteration speed is relatively fast, the complexity is O (Nlog (N)))
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数值方法里面的用lagrange插值发求解线形方程的算法,可以用来解线形方程组的习题(The inside of the numerical methods used though laser hair interpolation algorithm for solving linear equations, problem sets can be used to solve the linear system of equations)
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利用灵活的广义最小残差法(FGMRES)求解矩阵的子程序(a subroutine to solve the linear equations by the Flexible Generalized Minimal Residual Algorithm (FGMRES))
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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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多种最优化方法的集合函数,包括吉洪诺夫正则化算法等。(mutilple method for inverse problem, mainly to solve ill-conditioned system of linear equations.including Tikhonov regularization method.)
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可以用该程序数值求解矩阵,具有详细的注释,理解LU分解法求线性方程组的算法原理(The program can be used to solve the matrix, with detailed notes, understanding the LU decomposition method for solving linear equations algorithm principle)
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使用原始高斯消去法求解线性方程组,用Python进行实现(The original Gauss elimination method is used to solve the system of linear equations, and Python is used to realize it)
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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
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求解大型对称正定线性方程组,内含收敛率计算,迭代步数和结果。(To solve large symmetric positive definite linear equations, the calculation of convergence rate, the number of iterations and the results are found.)
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用共轭梯度法_MINRES_LANCZOS等迭代算法解线性方程组,清华大学李津老师高等数值分析大作业(This is the homework of Li Jin's higher numerical analysis course of Tsinghua University. We use the conjugate gradient method, MINRES method and LANCZOS algorithm to solve the linear equations.)
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高斯消元法的简单Matlab程序,有简单的GUI界面,可以进行线性方程组的求解。(Gaussian Elimination simple Matlab program, a simple GUI interface, you can solve the linear equations)
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高斯消元法(或译: 高斯消去法),是线性代数规划中的一个算法,可用来为线性方程组求解(Gaussian elimination (or the gauss elimination method), is an algorithm in the planning of linear algebra, available for the system of linear equations to solve)
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fortran计算用来求解线性方程组的BLAS和LEACK 包。。。(The FORTRAN calculation is used to solve the BLAS and LEACK packages of the linear equations.)
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利用高斯消元法法求解病态矩阵——hilbert 矩阵的线性方程组。通过条件数分析,找出误差较大的原因。再利用 Jacobi 迭代方法、G-S 迭代方法和 SOR 迭代法做了进一步探究。另外,作为要求之外的,还使用共轭梯度法来求解方程以来进行对比,并利用Tikhonov 正则化的方法改善矩阵的条件数,来减小误差。(The Gauss elimination method is used to solve the linear equations of the ill conditioned mat
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