搜索资源列表
BlindSourceSeparation
- 利用自然梯度算法来对于5 类信号进行盲信号分离,采用自然梯度法对混合的信号进行 分离并分析其性能,并比较不同步长对于信号分离的影响-Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal Separation and analysis of its perfo
Nonlinear-equation-solve
- 非线性方程,方程组求解,利用求非线性方程实根的对分法和求非线性方程组一组实根的梯度法-Nonlinear equation solve
CGP.1.1.tar
- 该软件包CG +是为解决大规模,无约束,非线性优化问题的共轭梯度代码。企业管治+实现了共轭梯度法的三个不同版本:弗莱彻-里夫斯方法,波拉克Ribiere方法的,积极的波拉克-Ribiere方法的(聊天总是非负)-The package CG+ is a Conjugate Gradient code for solving large-scale, unconstrained, nonlinear optimization problems. CG+ implements three diffe
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
minPRPFDD
- 共轭梯度法的prp方法结合非单调法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum prp method combined with non-monotonic conjugate gradient method for solving multidimensional function must be written in the previous one for search function
minGETDPRPWP
- 共轭梯度法的prp方法结合wolfe-powell法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum of Conjugate Gradient Method the prp method combined wolfe-powell method to solve the multi-dimensional function must be written in the previous one for search function
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.
minGETDFRWP
- 共轭梯度法的FR方法结合wolfe-powell搜索,求解多维函数的极小值,在此前必须编写好一为搜索函数-FR method combined with the conjugate gradient method wolfe-powell search for solving multidimensional function minimum, must be written in the previous one for the search function
minGETDFRHJ
- 共轭梯度法的FR方法结合黄金分割法求解多维函数的极小值,在此前必须编写好一为搜索函数-Minimum value of the FR conjugate gradient method combined with golden section method to solve the multi-dimensional function must be written in the previous one for search function
minGETDPRPWP3
- 共轭梯度法prp结合wolfe-powell搜索求解函数的极值,在之前必须准备好相应的程序-Conjugate gradient method the prp combined wolfe-powell search for solving the extreme value of the function must be ready before the corresponding program
minRosen
- minRosen(Rosen梯度法求解约束多维函数的极值)-Gradient method to solve the extreme value of the constrained multi-dimensional function
Conjugate-gradient-method-matlab
- 共轭梯度法 SUMT内点法 最速下降法 牛顿法 matlab实现-Conjugate gradient method SUMT interior point method the steepest descent method Newton method matlab
Matlab
- matlab程序非线性优化设计方法时下流行的关于非线性规划的源程序,包括SQP方法、乘子法程序、二次规划、非线性最小二乘法、共轭梯度法、拟牛顿法、线搜索技术、信赖域方法、最速下降法与牛顿法等-matlab program nonlinear optimization design method popular on nonlinear programming source code, including the SQP method, the multiplier method procedur
gongertidufa
- 用共轭梯度法求解无约束优化问题,把共轭性和最速下降法想结合来求出目标函数最小点,仿真正确。-Conjugate gradient method for solving unconstrained optimization problems, the conjugate and the steepest descent method would like to combine to find the minimum point of the objective function, the simu
ssor-pcg
- 超松弛预处理共轭梯度法,用于求解有限元计算中常见的大型对称稀疏矩阵-Overrelaxation preconditioned conjugate gradient method for solving the finite element calculation of large symmetric sparse matrix
Newton
- 共轭梯度法(Conjugate Gradient)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。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate Gradient method (Conjugate Gradie
gongetidufadshuzhixingzhi
- 共轭梯度法(Conjugate Gradient)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。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数-Conjugate Gradient method (Conjugate Gradien
zsxjfshiyan
- 最速下降法又称为梯度法,是1847 年由著名数学家Cauchy 给出的,它是解析法中最古老的一种,其他解析方法或是它的变形,或是受它的启发而得到的,因此它是最优化方法的基础。作为一种基本的算法,他在最优化方法中占有重要地位。-The steepest descent method called gradient method, is 1847 by famous mathematician Cauchy given, it is the most ancient of analytical me
mathematic-library
- 数值分析类库。包括了Vector和Matrix类,可用于求CHOLESKY分解,解方程,以及求极值等。求极值的方法包括最速下降法,牛顿法,拟牛顿法,共轭梯度法,变尺度法等等。-Mathematic Analyze tools which contains the Vector and Matrix classes. It can be used to work our the parse of cholesky and solf the equation and deal with opt pr
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- 双共轭梯度法 广泛适用的线性方程组求解方法-S t r u e t u r e o f th e C o m p l e x b i 一 C o n j u g a t e G r a d ie n t M e th o d