搜索资源列表
-
3下载：
采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
-
-
0下载：
采用CG法求解稀疏对称奇异矩阵得到的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric but it may be definite or indefinite or singular. The scalar s is a
-
-
0下载：
采用CG法求解稀疏对称非奇异矩阵得到的线性系统Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scal
-
-
0下载：
鲍威尔方法是鲍威尔于1964年提出的，以后又经过他本人的改进。该方法是一种有效的共轭梯度方向法，它可以在有限步内找到二次函数的极小点。对于非二次函数只要具有连续的二阶导数，用这种方法也是有效的。-Powell method is proposed in 1964, and later through his own improvements. This method is an effective method of conjugate gradient direction, it can fi
-
-
1下载：
无约束多维极值算法 共轭梯度法 用共轭梯度法求解多维函数的极值(Unconstrained multidimensional extreme value algorithm; conjugate gradient method)
-
-
1下载：
共轭梯度法的课件(Conjugate gradient method)
-
-
0下载：
用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
-
-
0下载：
通过共轭梯度法进行多参数优化，且参数优化的精确度可调。(Multi parameters optimization based on the conjugate gradient method,and the precision of these parameters can be adjusted.)
-
-
1下载：
使用最速下降法和共轭梯度法实现优化功能，基于MATLAB平台使用m语言编写(Based on the MATLAB platform, steepest descent method and conjugate gradient method are used to achieve the optimization function with M language.)
-
-
2下载：
解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成，迭代方向分别由最速下降法，阻尼牛顿法，共轭梯度法，拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterative directions are generated b
-
-
0下载：
共轭梯度法求解N*N对称正定方程组，将解方程组问题转化一个最优化问题。(The conjugate gradient method is used to solve the N*N symmetric positive definite equations, and the problem of solving the equation set is transformed into an optimization problem.)
-
-
0下载：
吉文斯QR分解，豪斯霍尔德QR分解，三值样条插值法，共轭梯度法，4阶R-K分解(Givens QR decomposition, Moorhouse Holder QR decomposition, three value spline interpolation, conjugate gradient method, 4 order R-K decomposition)
-
-
2下载：
利用差分算法计算分数阶FHN方程和狄利克雷(Dirichlet)零边界条件：
，
其中，数值仿真过程中需要对参数、和、进行选取。区域离散在空间方向取为个点，时间方向的步长为， 截止时间为T=1000。
2.程序 FHN_CG 是采用共轭梯度法求解线性代数方程组 Au=b。
程序 FHN_MG 是采用多重网格算法求解线性代数方程组Au=b(Using the difference algorithm to calculate the fractional FHN equation,
-
-
0下载：
改进的HS共轭梯度法，能够更快的求解无约束优化问题(A modified Hestenes-Stiefel conjugate gradient method with sufficient descent condition and conjugacy condition)
-
-
12下载：
基于MATLAB编写的大地电磁二维有限单元法正演程序，矩形单元剖分，线性插值，
使用说明：
1. 运行MT2DMODEL.m构建正演模型
2. 运行TMmodel.m和TEmodel.m正演计算，计算结果自动保存
3. 程序进行了优化，并将BICGSTAB（稳定双共轭梯度法）用于求解线性方程组，求解效率提高，一般情况下正演计算仅需1~2秒(Based on MATLAB compiled two-dimensional magnetotelluric fin
-
-
1下载：
运筹学中的问题求解，使用共轭梯度法来求最优解(Solving problems in operations research, using conjugate gradient method to find the optimal solution)
-
