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FR共轭梯度算法求极小值。y为给定函数，x为函数变量，x0为搜索起始点
返回值fm为极小值，xm为极小值点,FR conjugate gradient algorithm for the minimum. y for a given function, x as a function of variables, x0 the starting point for the search to return to the value of fm for the minimum, xm for th
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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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conjugate gradient algorithm for multivariable functions
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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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Jacobi算法和共轭梯度法的基本matlab程序，rar压缩包，包括2个文件-Jacobi conjugate gradient algorithm and the basic matlab program, rar archive, including the two documents
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linear conjugate gradient
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用共轭梯度算法——PRP算法求解无约束最优化问题-Conjugate gradient algorithm- PRP algorithm for solving unconstrained optimization problems
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基于MATLAB的共轭梯度BP算法在函数逼近中的实例-MATLAB-based conjugate gradient BP algorithm in the example of function approximation
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共轭梯度法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。-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the firs
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利用共轭梯度法求解无约束问题实例。其实现的软件为matlab-Using conjugate gradient method to solve the problem without constraint examples
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两个程序，基于共轭梯度的BP算法，和标准的BP算法，两个都是实现函数逼近-Two procedures, based on the conjugate gradient BP algorithms, and standard BP algorithm, are both function approximation
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Conjugate Gradient Method 共轭梯度发-Conjugate Gradient Method
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matlab程序，1文件功能用FR共轭梯度法求解无约束问题，2、3文件分别表示目标函数和梯度-matlab program, a file function with FR conjugate gradient method for solving unconstrained problems, 2,3 document represent the objective function and gradient
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用FR共轭梯度法求解无约束问题: min f(x)-By FR conjugate gradient method for solving unconstrained problem: min f (x)
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功能：用FR共轭梯度法求解无约束问题：min f(x)
输入：x0是初始点，fun,gfun分别是目标函数和梯度
输出：x,val分别是近似最优点和最优值，k是迭代次数-Features: use FR conjugate gradient method to solve the unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun is the objective functio
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conjugate gradient algorithm for echo cancellation. adaptive filter for noise canellation
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Preconditioned conjugate gradient method for 2D poisson equation
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通过使用matlab求解共轭梯度法和牛顿法。熟悉经典优化方法。(Solve the conjugate gradient method and the Newton method by using matlab. Familiar with the classic optimization method.)
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Conditional Gradient Method algorithm
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基于Armijo-Goldstein准则的用matlab实现的共轭梯度优化方法，个人编写，适合优化方法入门练习。(Based on the Armijo-Goldstein criterion, the conjugate gradient optimization method implemented by Matlab is written by individual, suitable for the introduction of the optimization method)
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