Description: 数值分析或计算方法中的Gauss－Seidel法求解线性方程组的c++程序-numerical analysis or calculation method of Gauss- Seidel method for solving linear equations of c procedures Platform: |
Size: 1024 |
Author:Y.P.Zhou |
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Description: Using Jacobi method and Gauss-Seidel iterative methods to solve the following system
The required precision is =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two methods
Platform: |
Size: 78848 |
Author:吕鹏 |
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Description: 数值分析实验报告!包含多个实验！
实验一 非线性方程求根
实验二 线性代数方程组的解法
--------列主元Gauss消元法
实验三 线性代数方程组的解法
——Gauss-Seidel迭代法等-Numerical Analysis of the experimental report! Contains more than one experiment! Experiment 1 Experiment 2 roots of nonlinear equations of linear algebraic equations the solution out PCA Gauss elimination method experiment trilinear solution of algebraic equations- Gauss-Seidel iteration method, such as Platform: |
Size: 39936 |
Author:geoshion |
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Description: 不使用matlab内部调用程序的按照高斯消元法本身原理来编写。-Do not use matlab within the procedure call in accordance with the Gauss elimination principle to the preparation of their own. Platform: |
Size: 29696 |
Author:chuchenyun |
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Description: Performance at the unity power factor for a 5 bus power system. This is used to investigate the the load flow algorithm developed based on Gauss Seidel method. Platform: |
Size: 1024 |
Author:he Shi Hao |
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Description: 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：求解结果、迭代次数、迭代误差数据、误差曲线图等。
-Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on. Platform: |
Size: 6144 |
Author:陈永恒 |
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