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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-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the d
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matlab神经网络一例，运用比例共轭梯度动量算法来训练 BP网络 。-matlab neural network case, the use of the momentum ratio of conjugate gradient algorithm to train the BP network.
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该程序是用共轭梯度法来求解函数的最优化问题，其中一维搜索时采用了0.618法，即黄金分割法-The program is the conjugate gradient method to solve the function optimization problem, one-dimensional search using the 0.618 method, that is, golden section method
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一阶梯度法、共轭梯度法、变尺度法分别求解Wood函数，并得到此时的自变量值-The step degree method, conjugate gradient method, variable metric method for solving Wood function, respectively, and with the value of the independent variables at this time
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conjugate gradient method parallel mpi code
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用牛顿法，共轭梯度法，最速下降法完成矩阵的计算-Newton conjugate gradient method
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Simple implementation of the Conjugate Gradient Method
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数值计算中最优化问题求解
共轭梯度法解无约束最优化问题-Numerical optimization problem solving in the conjugate gradient method for unconstrained optimization problems
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用FR共轭梯度法求解无约束最优化问题（c++）-With the FR conjugate gradient method for solving unconstrained optimization problems
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采用c++实现共轭梯度算法求解大规模线性方程组-Using c++ to achieve large-scale conjugate gradient algorithm for solving linear equations
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本学期的最优控制作业，对牛顿法、梯度法、共轭梯度法等三种变分法，进行了比较，并得出结论-This semester homework of The Optimal Control,compare the three variational methods of Newton method gradient method and conjugate gradient method,then make a conclusion.
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最优化常用无约束方法，内有最速下降法，newton法，共轭梯度法，坐标轮换发等程序，程序均用C语言编写！-The most common unconstrained optimization methods, steepest descent method within, newton method, conjugate gradient method, coordinate rotation of hair and other procedures, procedures are writte
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Conjugate gradient method
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Conjugate gradient method
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Conjugate gradient method
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Conjugate gradient method
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Conjugate gradient method
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《神经网络与机器学习》书中的，根据共轭梯度法进行双月型数据的分类-" Neural Networks and Machine Learning" book, according to the conjugate gradient method for data classification based bimonthly
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共轭梯度法求解函数极小值，对于学习者将会有很大的帮助-Conjugate Gradient Method for the function minimum, the learners will be of great help
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对于给定的一组轨迹点，用优化方法实现铰链四杆机构轨迹复演。优化方法为共轭梯度法。-For a set of track points,we use a optimization method to optimize the track of Hinge four-bar mechanism. The optimization method is conjugate gradient.
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