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: 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: 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: 利用共轭梯度法求解无约束问题实例。其实现的软件为matlab-Using conjugate gradient method to solve the problem without constraint examples
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Size: 2048 |
Author:selina |
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Description: 压缩包里包含了无约束优化问题常用的几种求解方法的源程序:变量轮换法(variable_rotation.m)、最速下降法(steepest_descent.m)、修正牛顿法(modified_newton.m)、共轭梯度法(conjugate_gradient.m)。另外,coefficient_matrix.m为目标函数系数获得矩阵,minval.m为最小值计算函数,gradient.m为梯度计算函数-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function Platform: |
Size: 1024 |
Author:zhuyuanli |
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Description: matlab程序,1文件功能用FR共轭梯度法求解无约束问题,2、3文件分别表示目标函数和梯度-matlab program, a file function with FR conjugate gradient method for solving unconstrained problems, 2,3 document represent the objective function and gradient Platform: |
Size: 1024 |
Author:张婧茹 |
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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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