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Ro3n is a simple Qt application designed to solve mathematical equations - linear as well as quadratic.
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采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
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采用CG法求解稀疏对称奇异矩阵得到的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric but it may be definite or indefinite or singular. The scalar s is a
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采用CG法求解稀疏对称非奇异矩阵得到的线性系统Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scal
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数值分析中线性方程组直接求解的高斯列主元消去法的源代码-Numerical Analysis of linear equations to solve the direct Gauss elimination pivot column source code
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利用高斯消元法解线性方程，通过输入系数矩阵，结果矩阵，即可求解多原方程-Gaussian elimination method for Linear Equations, by entering the coefficient matrix, the results matrix, can solve many of the original equation
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In linear algebra, LU decomposition (also called LU factorization) is a matrix decomposition which writes a matrix as the product of a lower triangular matrix and an upper triangular matrix. The product sometimes includes a permutation matrix as well
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Write a program to solve the systems of linear equations by Gaussian elimination with scaled row pivoting, including the factorization phase and the solution phase. Report the LU matrices as well as the solution in the conclusion.
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解决MxN阶线性方程组，采用高斯消元法，可显示无解，一解和多解结果。-Solve the MxN-order linear equations using Gaussian elimination can be no solution, one solution, and the results of the multiple solutions.
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matlab 程序代码 线性系统 龙格库塔法 可以解微分方程-matlab code linear system can solve differential equations Runge-Kutta method
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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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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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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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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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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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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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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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