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运筹学中的解线性规划问题的一种方法,共扼梯度算法-tacticians solution of linear programming problems, a method of conjugate gradient algorithm
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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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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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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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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
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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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此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as
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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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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
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共轭梯度法求极值相关源代码,本例为二元函数-Conjugate gradient extremum associated source code and binary function in this case
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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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conjugate gradients in the image processing
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主要问题:如函数为f(X)=x1*x1*x1*x1+x2*x2时,算得的结果有问题,初步估计是因为迭代公式中出现了求梯度的模的分量造成的,有待继续改进,不过用BFGS算法C语言程序算时,上述问题没有发生,所以才说BFGS算法是无约束优化中最稳定的算法之一了-Main issues: If function f (X) = x1* x1* x1* x1+ x2* x2, the result of a problem considered, the preliminary estimate is
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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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