搜索资源列表
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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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最优化计算的牛顿法+共轭梯度法的MATLAB程序-Optimization Newton's Law + conjugate gradient method MATLAB
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最优化算法,有共轭梯度、牛顿法、黄金分割、最速下降法等-optimization algorithm, a conjugate gradient, Newton, 0.618, the steepest decline in France
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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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实现共轭梯度法的实例,该算法是一种优化算法,其具体优越性相信用者自知!-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe!
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最优化中利用惩罚因子的罚函数法的外延,连带了共轭梯度法,由于罚因子的迅速跌代增大,加速了目标函数的收敛速度。-optimization of the use of punitive factor function in the epitaxial sustaining a conjugate gradient method, As the penalty factor to the rapid increase or on behalf of, the objective function to
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共扼梯度法的Matlab源程序,寻找非线性或线性方程的极值-conjugate gradient method of Matlab source to find nonlinear equations or linear Extreme
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非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序(3-拟牛顿BFGS方法).m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
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利用共轭梯度法(CG+)求解大规模无约束最优化问题,代码所用语言为Fortran77.-The use of conjugate gradient method (CG+) to solve large-scale unconstrained optimization problems, the code language for Fortran77.
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用于解反问题的共轭梯度法,对于Ax=b,输入矩阵A,列向量b,以及迭代步数k,可求的列向量x-Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
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1. 程序运行时首先输入要求解第几题,然后输入初始点,即可得到最后结果。从程序运行结果中我们可以看到,采用共轭梯度法所得的结果比采用最速下降法所得的结果更为精确,这是由于:共轭梯度法实质上是对最速下降法的修正,使搜索方向变为共轭方向,即每一步的搜索方向都要对该步的负梯度进行修正。-1. Program run-time solution of the first type the first few questions asked, and then enter the initial poin
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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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改进的BP算法实现程序,以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
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基于最速下降法、牛顿法、共轭梯度法的matlab程序
-Steepest descent
Newton
conjugate gradient method
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有限元中基于共轭梯度法求解对称正定方程,可以很快的提高解题的速度!!一个比较简单的使用的代码!!希望对大家有用啊-Finite element conjugate gradient method based on symmetric positive definite equation, you can quickly increase the speed of problem solving! ! The use of a relatively simple code! ! Hope to u
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共轭梯度法求极值相关源代码,本例为二元函数-Conjugate gradient extremum associated source code and binary function in this case
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制作运用共轭梯度法解线性方程组的用户界面
-Making use of conjugate gradient method to solve linear equations of the user interface
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conjugate gradients in the image processing
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主要问题:如函数为f(X)=x1*x1*x1*x1+x2*x2时,算得的结果有问题,初步估计是因为迭代公式中出现了求梯度的模的分量造成的,有待继续改进,不过用BFGS算法C语言程序算时,上述问题没有发生,所以才说BFGS算法是无约束优化中最稳定的算法之一了-Main issues: If function f (X) = x1* x1* x1* x1+ x2* x2, the result of a problem considered, the preliminary estimate is
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conjugate就是所谓的共轭梯度法,用迭代的思想解决一些数值问题-conjugate is called the conjugate gradient method, iterative thinking to solve some numerical problems
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