搜索资源列表
Optimization
- 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.
zuiyouhuashiyanbaogao
- 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。 用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。 以及一些对具体问题的分析，MATLAB的代码在文档里都有。 -Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradie
Preconditioned_Conjugate_Gradient_Method
- 用C语言写的预处理共轭梯度法求解线性方程组的程序-Preconditioned Conjugate Gradient Method with C Language for solving linear system of equations
code
- 共轭梯度的几种方法对标准函数的测试结果比较 附比较结果-Several conjugate gradient method of function test criteria attached to the results of the comparison results
CGandlu
- CG共轭梯度法迭代解矩阵方程，Hhestens和Stiefel给出，-Conjugate gradient method CG iterative matrix equation solution, Hhestens and Stiefel given
optimizethedesign
- 优化设计常用程序，用C++编的一些最优化作业中的程序,有Newton法,DFP法,共轭梯度法,单纯形法,内点法,外点法,内外点法,都能使用。-Commonly used to optimize the design process, using C++ for some of the most optimized operating procedures, the Newton method, DFP method, conjugate gradient method, simplex meth
CG_PLUS
- 利用共轭梯度法（CG+）求解大规模无约束最优化问题，代码所用语言为Fortran77.-The use of conjugate gradient method (CG+) to solve large-scale unconstrained optimization problems, the code language for Fortran77.
painless-conjugate-gradient
- An Introduction to the Conjugate Gradient Method Without the Agonizing Pain written by Jonathan Richard Shewchuk.Algorithm of conjugate gradient method introduced in this file is easy to read and understand.-An Introduction to the Conjugate Gradient
conjugate-grade-method
- 有限元中基于共轭梯度法求解对称正定方程，可以很快的提高解题的速度！！一个比较简单的使用的代码！！希望对大家有用啊-Finite element conjugate gradient method based on symmetric positive definite equation, you can quickly increase the speed of problem solving! ! The use of a relatively simple code! ! Hope to u
conjugate-gradient-method
- 用matlab编程，实现最优控制理论中的共轭梯度算法。-With the matlab programming, optimal control theory conjugate gradient algorithm.
gradient-method
- 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.
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
conjugate-gradient-method_matlab.tar
- 利用共轭梯度法进行方程组求解的MATLAB源代码-Solving equations by conjugate gradient method (matlab code)
numerical-calculation-method
- 数值计算的一系列方法的C程序实现（包括二分法、复合梯度法、牛顿下山法、龙格库塔法等主流方法）-The numerical calculation method of the C program (including the the mainstream dichotomy composite gradient method, Newton downhill method, Runge-Kutta method method)
nonlinear-conjugate-gradient
- 在无约束最优化方法中，通过选择搜索方向 k d 而得到的方法主要有四种：最 速下降法，Newton法，共轭方向法，Quasi-Newton (拟牛顿法)。 -Study on the algorithm of several nonlinear conjugate gradient method and the analysis of global convergence
conjugate-gradient-method
- 基于共轭梯度算法的基本原理，以某一个具体的事例，实现共轭梯度算法对于事例的求取。-Based on the basic principle of the conjugate gradient algorithm to certain specific instances, to achieve conjugate gradient algorithm for the case of the strike.
Conjurate-gradient-method
- 该源码是非线性优化里的共轭梯度法，提供了Amijo和Wolfe两种非精确搜索方法，很好的学习材料！-This is the matlab source code of Conjurate Gradient Method, including both Amijo and Wolfe！
the-conjugate-gradient-method
- the conjugate gradient method,-This article presents a three-containing conjugate gradient method, and prove the algorithm decline and global convergence, which demonstrate the effectiveness of the algorithm.
Conjugate-Gradient-Method
- 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
conjugate-gradient
- 数值计算方法中利用共轭梯度法求解正定对称矩阵方程-Conjugate gradient method for solving symmetric positive definite matrix equation