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共轭梯度法求解线型方程组，收敛快，性态好-Conjugate Gradient Method
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李津第一次大作业代码：包括共轭梯度法CG，兰索斯Lanczos法、MINRES法、SOR法、最速下降法-Li Jin first big job code: include conjugate gradient method CG, Lanczos Lanczos method, MINRES method, SOR method, the steepest descent method
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提供了FR和HS共轭梯度法的算法，编程是用matlab实现的-FR and HS provides a conjugate gradient method algorithm, programming is achieved using matlab
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求解无约束优化共轭梯度法的wolfe线性搜索规则-Unconstrained optimization conjugate gradient method wolfe line search rule
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共轭梯度法的源代码，供大家使用，不喜勿喷。-Conjugate Gradient Method
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本程序是基于Matlab的共轭梯度法数值计算。-This procedure is based on Matlab numerical Conjugate Gradient Method.
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共轭梯度法在数值分析中应用非常广泛，比最速下降法要快，这里是FR共轭梯度法，及简单的例子。-Conjugate gradient method in numerical analysis is widely used, and faster than the steepest descent method , this is FR conjugate gradient method, and some simple examples.
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共轭梯度法，MATLAB程序，计算方法作业，内有说明-Conjugate gradient method, MATLAB procedures, calculation methods work, there are instructions
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利用共轭梯度法求线性方程组的Matlab算例-Using conjugate gradient method for solving linear equations Matlab examples
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最优化问题中的最速下降法，共轭梯度法，黄金分割法代码，为applied optimization with matlab programming书中源代码-Steepest descent method, conjugate gradient method, golden section method code
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共轭梯度法求解凸二次规划，代码由C语言开发，老外编写的程序，很值得一读。-Conjugate gradient method for solving convex quadratic programming, code generated by C language development, foreigners prepared program, it is worth reading.
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带等式约束和边界约束的凸二次规划问题，程序包含两种方法，一种是共轭梯度法，一种是frank-wolfe算法，代码质量较高。-Convex quadratic programming problem with equality constraints and boundary constraints, the program contains two methods, one is the conjugate gradient method, one is frank-wolfe algorith
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基于armijo步长搜索规则的共轭梯度方法，用来求函数极值-A conjugate gradient method based on the Armijo step search rule is used for the function extremum
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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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C++实现的最优化算法，包括最速下降法与共轭梯度法-Optimization algorithm implemented in C++, including the steepest descent method and Conjugate Gradient Method
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用MATLAB实现最速下降法_牛顿法和共轭梯度法求解实例-Using MATLAB steepest descent method _ Newton method and conjugate gradient method for solving examples
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最优化方法中的共轭梯度法，使我们老师写的matlab代码，绝对没有问题-Optimization Method of Conjugate Gradient Method
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优化设计：牛顿法、二次插值法、共轭梯度法，c程序-Optimal design: Newton method, two time interpolation method, conjugate gradient method, C program
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共轭梯度法，是最优化理论与算法课程当中的一种经典的优化算法，-Conjugate gradient method is a classical optimization algorithm in optimization theory and algorithm,
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