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Conjugate Gradient Method
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conjugate gradient source code
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NetScore - Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me i
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conjugate gradient tset file
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最优化方法作业 PRP共轭梯度法 有算法分析 步骤 实例 实验结果和C++源程序-Optimization method operating PRP conjugate gradient method are examples of algorithm analysis step in the experimental results and C++ source code
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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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An Introduction to the Conjugate Gradient Method Without the Agonizing Pain written by Jonathan Richard Shewchuk.Algorithm of conjugate gradient method introduced in this file is easy to read and understand.-An Introduction to the Conjugate Gradient
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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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用matlab编程,实现最优控制理论中的共轭梯度算法。-With the matlab programming, optimal control theory conjugate gradient algorithm.
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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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共轭梯度法 SUMT内点法 最速下降法 牛顿法 matlab实现-Conjugate gradient method SUMT interior point method the steepest descent method Newton method
matlab
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用共轭梯度法求解系数矩阵为对称正定矩阵的二次函数的最优解-The optimal solution of the quadratic function using the conjugate gradient method for solving the coefficient matrix is symmetric positive definite matrix
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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。-Conjugate gradient method (Conjugate Gradient) between the steepest descent between law and Newton'
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利用共轭梯度法进行方程组求解的MATLAB源代码-Solving equations by conjugate gradient method (matlab code)
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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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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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本代码为《最优化理论与方法》书籍中的共轭梯度法算法的代码,并举了两个书上的作业题的例子,本代码中的目标函数和约束等初值可由需要进行改变,来得到所期望的计算-The code for the " optimization theory and method" books conjugate gradient method algorithm code, citing two books on the example of the job title, the code in th
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Conjugate Gradient Method 共轭梯度发-Conjugate Gradient Method
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在无约束最优化方法中,通过选择搜索方向
k
d 而得到的方法主要有四种:最
速下降法,Newton法,共轭方向法,Quasi-Newton (拟牛顿法)。
-Study on the algorithm of several nonlinear conjugate gradient method and the analysis of global convergence
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