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运筹学中的解线性规划问题的一种方法,共扼梯度算法-tacticians solution of linear programming problems, a method of conjugate gradient algorithm
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反向传播算法的变形例子的CGBP,共轭梯度的轨迹算法程序。有WINDOWS界面。-back propagation of the deformation CGBP example, the conjugate gradient algorithm track procedures. A Windows interface.
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运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.
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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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LM算法
老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitiv
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conjugate gradient algorithm for multivariable functions
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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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无约束优化中的共轭梯度算法程序,解压缩后就可以用了-Unconstrained optimization of the conjugate gradient algorithm procedure can be extracted after the
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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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共轭梯度算法C程序,本程序适用于n设计变量的函数优化问题,对于不同的设计变量个数可以改变维数,该算法程序只在主函数中与其他无约束程序有差别,其他部分基本一样。-Conjugate gradient algorithm C procedures, the procedures for n design variables of the function optimization problem, the number of different design variables can change
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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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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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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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基于共轭梯度算法的基本原理,以某一个具体的事例,实现共轭梯度算法对于事例的求取。-Based on the basic principle of the conjugate gradient algorithm to certain specific instances, to achieve conjugate gradient algorithm for the case of the strike.
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conjugate gradient algorithm for echo cancellation. adaptive filter for noise canellation
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the conjugate gradient method,-This article presents a three-containing conjugate gradient method, and prove the algorithm decline and global convergence, which demonstrate the effectiveness of the algorithm.
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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。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate gradient method (Conjugate Gradie
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Conditional Gradient Method algorithm
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