搜索资源列表
gauss-seidel
- 通过编程实现通过共轭梯度法和Gauss-Seidel迭代法两种方法求解方程组-By programming through the conjugate gradient method and Gauss-Seidel iteration method for solving equations of two
conjugate_gradient
- 共轭梯度法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-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the d
a-nerve-network-of-matlab
- matlab神经网络一例，运用比例共轭梯度动量算法来训练 BP网络 。-matlab neural network case, the use of the momentum ratio of conjugate gradient algorithm to train the BP network.
cg
- 该程序是用共轭梯度法来求解函数的最优化问题，其中一维搜索时采用了0.618法，即黄金分割法-The program is the conjugate gradient method to solve the function optimization problem, one-dimensional search using the 0.618 method, that is, golden section method
Several-methods-for-the-most-value
- 一阶梯度法、共轭梯度法、变尺度法分别求解Wood函数，并得到此时的自变量值-The step degree method, conjugate gradient method, variable metric method for solving Wood function, respectively, and with the value of the independent variables at this time
cg_mpi
- conjugate gradient method parallel mpi code
shuzhidaishu
- 用牛顿法，共轭梯度法，最速下降法完成矩阵的计算-Newton conjugate gradient method
B6cg
- Simple implementation of the Conjugate Gradient Method
HR-GPSR
- 数值计算中最优化问题求解 共轭梯度法解无约束最优化问题-Numerical optimization problem solving in the conjugate gradient method for unconstrained optimization problems
powell
- "Powell s Conjugate Direction Method" Model
dcx
- 用FR共轭梯度法求解无约束最优化问题（c++）-With the FR conjugate gradient method for solving unconstrained optimization problems
CG
- 采用c++实现共轭梯度算法求解大规模线性方程组-Using c++ to achieve large-scale conjugate gradient algorithm for solving linear equations
homework-of-The-Optimal-Control
- 本学期的最优控制作业，对牛顿法、梯度法、共轭梯度法等三种变分法，进行了比较，并得出结论-This semester homework of The Optimal Control,compare the three variational methods of Newton method gradient method and conjugate gradient method,then make a conclusion.
-Common-non-binding
- 最优化常用无约束方法，内有最速下降法，newton法，共轭梯度法，坐标轮换发等程序，程序均用C语言编写！-The most common unconstrained optimization methods, steepest descent method within, newton method, conjugate gradient method, coordinate rotation of hair and other procedures, procedures are writte
symmetricbandedCG
- Conjugate gradient method
GroupSparseBox_V3
- Conjugate gradient method
Contors
- Conjugate gradient method
lobpcg
- Conjugate gradient method
nfc_fis
- Conjugate gradient method
conjg
- 《神经网络与机器学习》书中的，根据共轭梯度法进行双月型数据的分类-" Neural Networks and Machine Learning" book, according to the conjugate gradient method for data classification based bimonthly