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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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图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的
一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem,
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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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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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此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as
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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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MPI conjugate gradient algorithm
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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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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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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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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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共轭梯度算法解三维变周期边界条件泊松方程,MPI并行计算和串行计算各一份实例-Conjugate gradient algorithm solving the three-dimensional Poisson equation with periodic boundary conditions, by MPI parallel computing and serial computation
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conjugate gradient algorithm for echo cancellation. adaptive filter for noise canellation
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