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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.
The_Levenberg-Marquardt_Algorithm
- LM算法 老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It outperforms simple gradient descent and other conjugate gradient methods in a wide variety of problems. This document aims to provide an intuitiv
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
EdgeDetection
- Program use openCV to demo edge detection (algorithm Gradient).
cg
- 无约束优化中的共轭梯度算法程序，解压缩后就可以用了-Unconstrained optimization of the conjugate gradient algorithm procedure can be extracted after the
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
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.
A
- A note on the gradient of a multi-image
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
gradient-conjugue
- La méthode de gradient conjugué en C.
conjugate-gradient
- 共轭梯度算法C程序,本程序适用于n设计变量的函数优化问题，对于不同的设计变量个数可以改变维数,该算法程序只在主函数中与其他无约束程序有差别，其他部分基本一样。-Conjugate gradient algorithm C procedures, the procedures for n design variables of the function optimization problem, the number of different design variables can change
gradient
- Computes the gradient vector or matrix
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.
Gradient
- 采用理查森外推法计算标量函数梯度的程序(很容易改写为计算雅克比矩阵)，算例为sin(x)+cos(y)。richarson(fun,x0)中，h是初始步长，j是迭代次数，精度是2*j+2阶。-Scalar function gradient procedures using Richardson extrapolation method, in the function richarson (fun, x0), h is the initial step, j is the number of
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)
green-functions-gradient
- green function s gradient：计算格林函数的导数(求点源兴波波高)-green function s gradient：