Description: optimisation中的梯度法，在实验课上编写的程序，可以直接看到效果-optimization of the gradient method, in the experimental procedure for the preparation of class, you can directly see the effect of Platform: |
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Author:bellepdt |
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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: |
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Author:张大莲 |
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Description: 约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods. Platform: |
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Author:anytry |
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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: 自己编写的计算光流场的MATLAB程序，基于梯度的方法，非常简单-I have written a MATLAB calculation of optical flow procedures, based on the gradient method and it is very simple Platform: |
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Author:lee |
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Description: 用matlab编程，实现最优控制理论中的梯度法。-With the matlab programming, optimal control theory the gradient method. Platform: |
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Author:高盼 |
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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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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: |
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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: |
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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: |
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Author:亮看世界
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