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最优化计算的牛顿法+共轭梯度法的MATLAB程序-Optimization Newton's Law + conjugate gradient method MATLAB
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实现共轭梯度法的实例,该算法是一种优化算法,其具体优越性相信用者自知!-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe!
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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
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共轭梯度法CGmatlab程序 解线性方程组-Conjugate gradient method matlab program for solving linear equations
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最优化方法中共轭梯度法的matlab程序-Optimization method of conjugated gradient method matlab program
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VC实现的,多维函数搜索,无约束优化方法,
(1)最速下降法 (2)阻尼牛顿法(3)共轭梯度法 (4)鲍维尔法(5)变尺度法(6)单纯形法
-VC implementation, multi-dimensional function of search, unconstrained optimization methods, (1), steepest descent method (2) damped Newton' s method (3) conjugate gradient
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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
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共轭梯度法,是数值分析中很重要的一种,源码为其在matlab中的实现。-Conjugate gradient method, numerical analysis is a very important one in the matlab source code for its realization.
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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
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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
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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.
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1. 程序运行时首先输入要求解第几题,然后输入初始点,即可得到最后结果。从程序运行结果中我们可以看到,采用共轭梯度法所得的结果比采用最速下降法所得的结果更为精确,这是由于:共轭梯度法实质上是对最速下降法的修正,使搜索方向变为共轭方向,即每一步的搜索方向都要对该步的负梯度进行修正。-1. Program run-time solution of the first type the first few questions asked, and then enter the initial poin
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改进的BP算法实现程序,以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
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基于最速下降法、牛顿法、共轭梯度法的matlab程序
-Steepest descent
Newton
conjugate gradient method
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制作运用共轭梯度法解线性方程组的用户界面
-Making use of conjugate gradient method to solve linear equations of the user interface
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这是一篇外国人写的关于最优化方法中共轭梯度法的通俗易懂的介绍,文中用了大量的图形来解释相关概念和公式的几何意义。不过,需要一定的英语阅读能力。-This is a user-friendly introduction to a foreigner on the optimal method of conjugated gradient method, the paper uses a large number of graphics to explain the geometric meanin
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conjugate就是所谓的共轭梯度法,用迭代的思想解决一些数值问题-conjugate is called the conjugate gradient method, iterative thinking to solve some numerical problems
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congujate gradient method
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Conjugate Gradient Method
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Conjugate Gradient Method for finding minimum of funcitons
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