搜索资源列表
OneDimensionalSearch
- 优化设计中的一维搜索方法,包括牛顿梯度法,平分线法,割线法,以及各种插值方法;能计算函数最优点,以及迭代的循环次数-Optimal Design of one-dimensional search methods, including Newton
xxfc
- 全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 6.范德蒙方程组解法 7.托伯利兹方程组解法 8.奇异值分解 9.线性方程组的共轭梯度法 10.对称方程组的乔列斯基分解法 11.矩阵的QR分解 12.松弛迭代法-PCA-wide Gauss Jordan elimination method 2.LU decomposition method 3. To catch up with law 4.
grad_2d
- 梯度法,可求解二元函数极值,并给出一个实例。-Gradient method can solve the binary function extreme value, and gives an example.
Conjugate_grads_method
- MATLAB的梯度法源程序,按照提示输入,可直接运行-MATLAB source code of the gradient method, in accordance with the prompt input, can be directly run
ssor_conjugate_grad
- 在求解偏微分方程时常用的预处理(采用对称超松弛迭代法)共轭梯度法-When solving partial differential equations in the commonly used preconditioning (using symmetric overrelaxation iterative method) Conjugate Gradient Method
Optimizationcalculationsfortheconjugategradientmet
- 用于进行最优化计算的共轭梯度法,其中的很多东西值得学习和借鉴,下载不会后悔。-Optimized for the calculation of the conjugate gradient method, which is worth a lot of things to learn, download will not regret it.
TransferOptimizationConstraintNonbindingProcedures
- 转最优化-约束 无约束共轭梯度法程序(c++)-Switch Optimization- constrained conjugate gradient method for unconstrained program (c++)
47651475hPSO
- 最优化课程大作业 最优化问题单纯性法 梯度法 可以运行-optimization computer homework linear nonlinear multiply objectives optimization matlab code
Conjugategradientmethod
- 共轭梯度法的改进,提出了一些新问题并给出自己的算法-Conjugate gradient method
somefunctiontosolveextremum
- 目标函数的几种极值求解方法,包括最速下降法,拟牛顿法,共轭梯度法MATLAB实现-The objective function to solve several extreme methods, including steepest descent, quasi-Newton method, conjugate gradient method
WinRAR
- 共轭梯度法matlab源程序 很好很强大 快来下载 快来啊-gongetidufa
BFGS
- 最近学习优化理论中的算法,通过网上的查找及改进,得到了共轭梯度法的C语言程序 主要问题:如函数为f(X)=x1*x1*x1*x1+x2*x2时,算得的结果有问题,初步估计是因为迭代公式中出现了求梯度的模的分量造成的,有待继续改进,不过用BFGS算法C语言程序算时,上述问题没有发生,所以才说BFGS算法是无约束优化中最稳定的算法之一了-Optimization theory in a recent study of algorithms, through online search and i
yunchouxue
- 运筹学中非线性规划的牛顿法,梯度法,直接法,内点法的matlab 实现-Nonlinear Programming Operations Research Newton method, gradient method, direct method, interior point method implementation matlab
conjugate_gradient
- 共轭梯度法是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the d
minimize
- 共轭梯度法求解无约束的最优化问题,该方代码利用Matlab实现。(Conjugate gradient method for unconstrained optimization problems, the square code using Matlab implementation.)
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)