搜索资源列表
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.
matlapp.rar
- MATLAB的梯度法，内点法，外点法，罚函数，惩罚函数，线性梯度法，源程序，按照提示输入，可直接运行,MATLAB' s gradient method, interior point method, outside the point of law, penalty function, penalty function, the linear gradient method, source code, follow the prompts to input, can be directly r
conjugate_gradient
- 最优化方法中共轭梯度法的matlab程序-Optimization method of conjugated gradient method matlab program
Unconstrained_optimization
- 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 optimiz
Nonlinear_Programming
- 非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
cgls
- 用于解反问题的共轭梯度法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
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，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the firs
conjugate-gradient-method
- 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
gradient
- 一个关于经典的梯度法求最优值的matlab程序，写的很有条理，注释很清晰，稍加修改就能使用。-A classic gradient method and the optimal value of the matlab program, written in a very methodical, comments are very clear, a little modification to use.
Conjugate-Gradient-Method
- Conjugate Gradient Method 共轭梯度发-Conjugate Gradient Method
Conjugate-Gradient-Method(matlab)
- 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
conjugate-gradient-methods
- 用FR共轭梯度法求解无约束问题: min f(x)-By FR conjugate gradient method for solving unconstrained problem: min f (x)
Gradient-method
- 程序采用梯度下降法求解函数最小值，函数系数矩阵分别为50x50和100x100，梯度下降法中，同时采用了精确直线搜索和回溯直线搜索，并比较了两种方法的收敛速度，用图形表示。文件里面有具体问题描述。-Program uses a gradient descent method for solving the minimum, function coefficient matrix are 50x50 and 100x100, gradient descent method, while using
Conjugate-gradient-method
- 功能：用FR共轭梯度法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数和梯度 输出：x,val分别是近似最优点和最优值，k是迭代次数-Features: use FR conjugate gradient method to solve the unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun is the objective functio
Preconditioned-conjugate-gradient.f90
- Preconditioned conjugate gradient method for 2D poisson equation
matlab Conjugate gradient method
- 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.)
HPPP&distance matriix &gradient descent method
- 使用HPPP进行多小区、多用户撒点之后，计算任意用户到任意小区的距离,和梯度下降法寻找最优解(After using HPPP for multi cell and multi-user dissemination, the distance between any user and any cell is calculated;and the gradient descent method is used to find the optimal solution.)
Gradient conjuge
- Conditional Gradient Method algorithm
conjugate gradient
- 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)
1204Optimization Coursework
- 使用matlab实现优化算法，包括梯度法、牛顿法等。压缩包中包括matlab代码以及运行结果图像。(The optimization algorithm implementation including gradient method, Newton method and simplex method etc.)