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雅可比(Jocabi)迭代法解线性方程组-Jacobi (Jocabi) iterative method for solving linear equations
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Jacobi迭代法和Gauss-Seidel迭代法求解线性方程组,matlab语言编程。-Jacobi iteration method and Gauss-Seidel iteration method for solving linear equations, using the Matlab programming language.
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naville法,雅各比法,牛顿法,CG法等等数值分析课程中使用的Matlab程序。-naville method, Jacobi method, Newton method, CG method, etc. used in numerical analysis courses Matlab program.
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Jacobi,数值计算里的方法,基于matlab程序-Jacobi, in the numerical calculation method, based on the matlab program
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雅可比迭代法解方程
高斯法解方程
查值法曲线拟和
2-9次方曲线拟和-Jacobi Iteration Method Solution of Equation of Gauss equation curve fitting method investigations and 2-9 power curve fitting and
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The following Matlab code converts a Matrix into it a diagonal and off-diagonal component and performs up to 100 iterations of the Jacobi method or until 蔚step < 1e-5
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rs 里查森迭代法求线性方程组
crs 里查森参数迭代法求线性方程组
grs 里查森迭代法求线性方程组
jacobi 雅可比迭代法求线性方程组
gauseidel 高斯-赛德尔迭代法求线性方程组
SOR 超松弛迭代法求线性方程组
SSOR 对称逐次超松弛迭代法求线性方程组
JOR 雅可比超松弛迭代法求线性方程组
twostep 两步迭代法求线性方程组
fastdown 最速下降法求线性方程组
conjgrad 共轭梯度法求线性方程组
preconjgr
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给出了线性方程组的CG法、Gauss_Seidel、SOR、Jacobi、fem求解,-Linear equations given the CG method, Gauss_Seidel, SOR, Jacobi, fem solution
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求线性方程组的迭代法,基于MATLAB开发-Linear Equations of the iterative method, based on the MATLAB development
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包括我自己写的一些数值分析用到的函数
包括矩阵的LU分解的两种方法, Cholesky分解, 以及线性方程组的迭代解法中的雅克比, 高斯-赛德尔以及线性松弛法的函数-Including myself, used to write some of the numerical analysis functions, including matrix LU decomposition of two methods, Cholesky decomposition, and iterative sol
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数学上Gauss-Seidel迭代法求线性方程组,Jacobi迭代求线性方程组等等,希望有用-Gauss-Seidel iterative mathematical method for solving linear equations, Jacobi iteration for solving linear equations, etc., want to be useful
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matlab 矩阵计算 求逆中的jacobi迭代法 还是比较有效的-matlab inverse matrix calculation of jacobi iteration method is more effective
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根据雅克比迭代法求解线性方程组AX=B的MATLAB程序。经过算例验证正确。适用性非常广。-According to Jacobi iterative method for solving linear equations AX = B on MATLAB. After a numerical example is correct. Very wide applicability.
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病态线性方程组的计算题,涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法,都编写一个m文件,封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行,画出误差曲线图,得到运行结果。总的Matlab程序流程,如下所示: 病态方程组的计算包括:HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括:
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this matlab code solve system of equations by gauss-seidel and jacobi method
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雅各比(Jacobi)迭代法的MATLAB程序-Jacoby (Jacobi) iteration method MATLAB program
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经典Jacobi方法求解对称矩阵特征值(MATLAB描述),本函数使用经典Jacobi方法来计算一个对称矩阵的特征值(Classical Jacobi method for solving symmetric matrix eigenvalue (MATLAB descr iption), this function uses the classical Jacobi method to calculate the eigenvalues of a symmetric matrix)
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Gauss消元法,Jacobi迭代法和超松弛迭代法求解线性方程组的M文件(Gauss elimination method, Jacobi iteration method and over relaxation iterative method for solving linear equations of the M file)
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Gauss, Siedel, Jacobi Method to determine field distribution
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利用五点差分格式和Jacobi迭代法,求解精确解和数值解的误差,判断阶数是否正确(Five-point difference scheme and Jacobi iteration method are used to solve the error between exact solution and numerical solution and to judge whether the order is correct or not.)
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