搜索资源列表
zuiyou.rar
- 最优控制中单纯形表格法和梯度法
共轭梯度法
- 上述算法的④输出结果要求包含最优解、最优值、迭代次数,以及每次迭代的中间结果(对 而言)终止准则为H终止准则-above algorithm output requirements include optimal solution, the optimal values, the number of iteration, and each iteration of the intermediate results (in terms of) the termination criteria f
多变量寻优
- 多变量寻优的源码,包括基本算法如下:DFP法(又称变尺度法),BFS法、一阶梯度法,共扼梯度法。-multivariate optimization of the source code, including basic algorithm is as follows : DFP Act (also known as the variable scale), BFS, a ladder degrees, a total of the accused gradient method.
optimation
- 最优化计算的牛顿法+共轭梯度法的MATLAB程序-Optimization Newton's Law + conjugate gradient method MATLAB
Conjugateexamples
- 实现共轭梯度法的实例,该算法是一种优化算法,其具体优越性相信用者自知!-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe!
liyingnan_4
- 最优化中利用惩罚因子的罚函数法的外延,连带了共轭梯度法,由于罚因子的迅速跌代增大,加速了目标函数的收敛速度。-optimization of the use of punitive factor function in the epitaxial sustaining a conjugate gradient method, As the penalty factor to the rapid increase or on behalf of, the objective function to
conjgrad
- 共扼梯度法的Matlab源程序,寻找非线性或线性方程的极值-conjugate gradient method of Matlab source to find nonlinear equations or linear Extreme
gonge
- 本人自编的共轭梯度法。为c源码,已在TC下运行通过。-I directed the conjugate gradient method. C source code for, the TC has run through.
gongetidu
- 优化算法,共厄梯度法 fortran 90编译-optimization algorithm, a total of Ecuador gradient method FORTRAN 90 compiler
最速下降法
- 梯度下降法是一个最优化算法,通常也称为最速下降法。最速下降法是求解无约束优化问题最简单和最古老的方法之一,虽然现在已经不具有实用性,但是许多有效算法都是以它为基础进行改进和修正而得到的。最速下降法是用负梯度方向为搜索方向的,最速下降法越接近目标值,步长越小,前进越慢。(The gradient descent method is an optimization algorithm, also known as steepest descent. The steepest descent meth
Desktop
- 用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
matlab
- 实用共轭梯度法MATLAB源代码,最速下降法MATLAB源代码,MATLAB语言(Practical conjugate gradient method MATLAB source code)
拉格朗日乘子法
- 用次梯度方法求解拉格朗日对偶问题的例子。。。。。。(Solve the optimal problem)
CG
- 探究特征值分布对共轭梯度算法的收敛性影响(The convergence effect of eigenvalue distribution on conjugate gradient algorithm)
无约束优化问题
- 包括几种常用的无约束优化算法,比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)
线性方程组计算
- 利用高斯消元法法求解病态矩阵——hilbert 矩阵的线性方程组。通过条件数分析,找出误差较大的原因。再利用 Jacobi 迭代方法、G-S 迭代方法和 SOR 迭代法做了进一步探究。另外,作为要求之外的,还使用共轭梯度法来求解方程以来进行对比,并利用Tikhonov 正则化的方法改善矩阵的条件数,来减小误差。(The Gauss elimination method is used to solve the linear equations of the ill conditioned mat
智能算法
- 各种智能算法的代码教程,包括数值分析课程中的代码,一维搜索、牛顿差值、梯度法、0.618法等
最小二乘法-梯度下降法-牛顿法
- 用Python3在jupyter notebook实现最小二乘法,梯度下降法和牛顿法(Using Python3 to realize least square method, gradient descent method and Newton method in jupyter notebook)
基于自然梯度下降法的故障诊断
- 基于自然梯度下降法的故障诊断,程序可以运行,有参考论文(Fault diagnosis based on natural gradient descent method, the program can run, there are reference papers)
最速下降法求解方程组
- 最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型,另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the ol