Description: 用C++编的一些最优化作业中的程序,有Newton法,DFP法,共轭梯度法,单纯形法,内点法,外点法,内外点法,都能使用,我已经全部调试过了-C compile some of the most optimized operating procedures, Newton, DFP, conjugate gradient method, the simplex method, interior point method, the points outside the law, outside point method can use, I have all over Debugging Platform: |
Size: 12288 |
Author:tw |
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Description: ％ SSOR预处理的共轭梯度法求解方程Ax=b
％ 输入参数说明
％ A 正定矩阵[n*n]
％ b 右边向量
％ omega SSOR预处理参数(0--2)
％ Times 迭代次数
％ errtol 给定误差终止条件
％
％输出参数
％ NewX 方程Ax=b的x近似解
％ avgerr 求解的当前平均绝对误差- SSOR preconditioning conjugate gradient method for solving equations Ax = b the input parameter descriptions A positive definite matrix [n* n] b right side vector omega SSOR preconditioning parameters (0- 2) Times iterations errtol termination of a given error condition NewX output parameter equation Ax = b of x approximate solution to solve the current avgerr average absolute error Platform: |
Size: 1024 |
Author:zhxj |
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Description: 稀疏编码程序，To run sparsenet, you will first need to compile the conjugate
gradient (cgf) routine so that it may be called through matlab.-Sparse coding procedures, To run sparsenet, you will first need to compile the conjugategradient (cgf) routine so that it may be called through matlab. Platform: |
Size: 12807168 |
Author:李航 |
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Description: 共轭梯度法，本算法是经过验证了的共轭梯度法，读者在运用到其他方面时需要修改一定的参数-Conjugate gradient method, this algorithm is verified of the conjugate gradient method, readers in the use of other aspects need to modify certain parameters Platform: |
Size: 2048 |
Author:张大莲 |
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Description: FR共轭梯度算法求极小值。y为给定函数，x为函数变量，x0为搜索起始点
返回值fm为极小值，xm为极小值点-FR conjugate gradient algorithm for the minimum. y for a given function, x as a function of variables, x0 the starting point for the search to return to the value of fm for the minimum, xm for the minimum point Platform: |
Size: 1024 |
Author:夏巍 |
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Description: 无约束优化中的共轭梯度算法程序，解压缩后就可以用了-Unconstrained optimization of the conjugate gradient algorithm procedure can be extracted after the Platform: |
Size: 71680 |
Author:idhot |
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Description: 我编写的一个关于解决非线性方程的优化问题的共轭梯度法，希望对大家有用-I prepared a solution of nonlinear equations about the optimization problem of conjugate gradient method, in the hope that useful Platform: |
Size: 18432 |
Author:xujun |
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Description: 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。
用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。
以及一些对具体问题的分析，MATLAB的代码在文档里都有。
-Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradient method, variable metric method (DFP and BFGS method), nonlinear least square method. Using MATLAB to solve the problem of binding, mainly outside the penalty function method and generalized multipliers. As well as some specific issues for analysis, MATLAB code in the document, are limitless. Platform: |
Size: 81920 |
Author:ljw |
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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: |
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Author:陈永恒 |
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Description: matlab编写的共轭梯度法，用来解决非线性优化问题-matlab prepared by the conjugate gradient method is used to solve nonlinear optimization problems Platform: |
Size: 9216 |
Author:zh |
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Description: Jacobi算法和共轭梯度法的基本matlab程序，rar压缩包，包括2个文件-Jacobi conjugate gradient algorithm and the basic matlab program, rar archive, including the two documents Platform: |
Size: 1024 |
Author:don |
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Description: 基于MATLAB的共轭梯度BP算法在函数逼近中的实例-MATLAB-based conjugate gradient BP algorithm in the example of function approximation Platform: |
Size: 28672 |
Author:马婧烜 |
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Description: 通过使用matlab求解共轭梯度法和牛顿法。熟悉经典优化方法。(Solve the conjugate gradient method and the Newton method by using matlab. Familiar with the classic optimization method.) Platform: |
Size: 1024 |
Author:亮看世界
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Description: 基于Armijo-Goldstein准则的用matlab实现的共轭梯度优化方法，个人编写，适合优化方法入门练习。(Based on the Armijo-Goldstein criterion, the conjugate gradient optimization method implemented by Matlab is written by individual, suitable for the introduction of the optimization method) Platform: |
Size: 1024 |
Author:Victor_Z |
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Search - conjugate gradient matlab