搜索资源列表
ssor_process
- 对称GS迭代预处理共轭梯度法,数值分析方法之一,数值模拟-The symmetric GS iterative preconditioned conjugate gradient method, one of the methods of numerical analysis, numerical simulation
Mathematical-optimization-toolbox
- 数学最优化工具箱,内含0.618法,Fibonacci法,共轭梯度法,你牛顿法,牛顿法,最速下降法。每个算法都有一个实例用matlab实现-Mathematical optimization toolbox, containing 0.618 Fibonacci method, conjugate gradient method, Newton, Newton, steepest descent method. Each algorithm has an example of using mat
Optimization-ALogirhtms
- 常用的最优化方法,包括SQP方法,二次规划,信赖域方法,共轭梯度法等-Commonly used optimization method, including the SQP method, quadratic programming, trust region method, conjugate gradient method
2
- FR共轭梯度法求非线性无约束最优化(函数极值)问题-FR conjugate gradient method for solving nonlinear unconstrained optimization (function extremum) problem
conjugate-gradient-method
- 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
Optimization-Methods-
- 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法,以及主要算法的Matlab程序设计,主要内容包括(精确或非精确)线搜索技术、最速下降法与(修正)牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming," a more systematic introd
SPARSE
- 线性方程组的共轭梯度法 用共轭梯度法求解高阶线性Ax=b -Linear equations using the conjugate gradient method conjugate gradient method for solving higher order linear Ax = b
Beamform-ing-Algorithm
- 提出一种基于直接数据域最小二乘方法的自适应多波束形成算法,包括前向计算、后向计算和前- 后向计算。利用天线阵元输出复电压的单快拍数据构建矩阵方程,采用共轭梯度法求解得到阵列的自适应权值向 量,从而在所有期望信号方向形成接收波束,同时在各干扰方向形成深零陷,使信干噪比显著提高。由于只需对单 快拍数据进行处理,并且避免了样本协方差矩阵的构造及矩阵求逆运算,故计算复杂度较传统算法低。-An adap tive multip le beamforming algorithm based on
matlab
- 一个利用共轭梯度法的正则化实例: 通过输入矩阵的维数,利用共轭梯度法的原理,进行正则化计算;Morozov偏差原理-A conjugate gradient method using the regularization Example: Enter the dimensions of the matrix, using the principle of conjugate gradient method for regularization calculation
grad_conj_md
- 二次函数的共轭梯度法的matlab实现函数,输入相关参数即可进行迭代运算。-The function MATLAB realization of conjugate gradient method of quadratic function.
zuiyouhua
- 用vb实现最优化方法中的几种基本算法,包括最速下降法、牛顿法、共轭梯度法、最小二乘法等并结合数据库的使用,程序中还附带用户登录及管理-With vb achieve optimal methods of several basic algorithms, including the steepest descent method, Newton method, conjugate gradient method, least squares method and combined use of
bicg_sparse
- 程序用Fortran95标准,给出了双共轭梯度法求解超大型稀疏矩阵的子程序。还给出了一个例子,例子的数据用索引存储了维数将近10万的对称稀疏正定矩阵。-Using Fortran95, a method of Biconjugate gradient for super linear sysem is provied. In addition, a example with the storage type of row-column index is also provide for test
conjgradmethod
- 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。这里给出共轭梯度法的源程序-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and
bycgste
- 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) is between the steepest descent method and Newton' s
minGF
- 共轭梯度法,用于求解非线性约束问题,适用于matlab程序-Conjugate gradient method for solving nonlinear constrained problem for matlab program
coursework
- 共轭梯度法解决矩阵方程问题-Conjugate gradient method to solve the matrix equation problem
1153304_4_6.cpp
- 本程序是运用共轭梯度法的数值计算方法来求解正定对称矩阵方程。-This procedure is to use the conjugate gradient method numerical method to solve symmetric positive definite matrix equation.
CG_method
- 数学计算中CG法应用举例,CG法又名共轭梯度法,是一种常用的数学计算方法。-Application of mathematical calculations CG example, CG method known as conjugate gradient method, is a commonly used mathematical calculations.
frcg
- 使用FR共轭梯度法求解无约束问题 输入包括初始点,目标函数和梯度 输出包括最优点和最优解,还有迭代次数-Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most o
frcg
- 改进的共轭梯度法,具有很好的收敛效果,达到整体最有,在MATLAB中实现。-Improved conjugate gradient method, has a good convergence effect, to achieve the overall most realized in MATLAB.