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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。-failed to translate
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FR共轭梯度法求非线性无约束最优化（函数极值）问题-FR conjugate gradient method for solving nonlinear unconstrained optimization (function extremum) problem
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关于共轭梯度的源程序，并附有图形及说明。-About the conjugate gradient of the source, along with graphics and instructions.
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集员约束的共轭梯度算法应用于自适应波束形成 Set-membership constrained conjugate gradient adaptive algorithm for beamforming 的详细代码-the code for the paper Set-membership constrained conjugate gradient adaptive algorithm for beamforming
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改进的共轭梯度法，具有很好的收敛效果，达到整体最有，在MATLAB中实现。-Improved conjugate gradient method, has a good convergence effect, to achieve the overall most realized in MATLAB.
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本matlab程序用共轭梯度法来求解多元模型的最小值（给出最小值和精度情况）-The matlab program conjugate gradient method to solve the minimum multivariate model (given the minimum and the accuracy of the situation)
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共轭梯度法实现图像恢复，The conjugate gradient method for image restoration
-The conjugate gradient method for image restoration
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该程序是一个简单的递推最小二乘法（rls）、共轭梯度法（grad）以及黄金分割法，输入数据，能够计算出来-The program is a simple recursive least squares (RLS), the conjugate gradient method (grad) and golden section method, the input data, can be calculated
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共轭梯度法寻找最小值，输出最小值点坐标，迭代次数等信息-Conjugate gradient method to find the minimum
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共轭梯度法求解多维函数的极值
function [x,minf]=minGETD(f,x0,var,eps)
目标函数：f
初始点：x0
自变量向量：var
精度：eps
目标函数取最小值时的自变量值：x
目标函数的最小值：minf- Conjugate gradient method for solving the multi-dimensional function of the extreme value function [x, minf] =
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共轭梯度法求解多维问题，已经经过实际函数操作验证。-Conjugate gradient method for solving the multi-dimensional issues, has been operating the actual function verification.
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共轭梯度法求借无约束最优化问题和对称正定线性方程【自己原创编写的程序，已经过测试】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution【Self developed program, and tests had been conducted】
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共轭梯度法求解无约束最优化问题，采用Wolfe线搜索和armijo算法，还有对各种修正方法（HS，DY...）的对比【自己编写的】-Conjugate Gradient Methods Solve Optimal Question And Linear Eqution
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共轭梯度法，一种适合于研究生最优化方法课程的小程序，基于matlab的一个算例仿真-Conjugate gradient method, which is suitable for most graduate programs applet optimization, simulation based on a study of matlab
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利用共轭梯度法求解压力泊松方程的fortran程序-Conjugate Gradient Method for Solving Poisson equation of pressure fortran program
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求解正定二次函数的共轭梯度法及其改进算法。-Conjugate Gradient Method for Solving Positive Definite Quadratic Functions and Its Improved Algorithm.
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无约束多维极值算法 共轭梯度法 用共轭梯度法求解多维函数的极值(Unconstrained multidimensional extreme value algorithm; conjugate gradient method)
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共轭梯度法的课件(Conjugate gradient method)
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用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
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通过共轭梯度法进行多参数优化，且参数优化的精确度可调。(Multi parameters optimization based on the conjugate gradient method,and the precision of these parameters can be adjusted.)
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