搜索资源列表
BFGS
- BFGS变尺度算法
BFGS
- 最优化方法作业 BFGS方法 有算法分析 步骤 实例 实验结果和C++源程序-Operations optimization algorithm analysis step BFGS method is an instance of experimental results and the C++ source code
BBFGSF
- 利用BFGS算法求解大规模无约束最优化化问题，代码所用语言为Fortran77. -BFGS algorithm for solving large-scale unconstrained optimization of the problem, the code language used is Fortran 77.
BFGS
- 优化算法，选取最优点,这是一个纯数值的算法，给出一个初始点，进行最优点的选取-optimization algorithm
BFGS
- BFGS算法的实现(Implementation of BFGS algorithm)
最优化
- 中国石油大学（华东）最优化课程要求的两个作业程序：乘子法和Armiyo算法+BFGS算法(China University of Petroleum (East China) optimization course requirements of the two operating procedures: multiplier and Armiyo algorithm, +BFGS algorithm)
优化算法
- 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
无约束优化问题
- 包括几种常用的无约束优化算法，比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)
L-BFGS-B-C-master
- 基于梯度下降法的最优迭代算法，在深度学习和神经网络中应用非常广泛，也非常好用(The optimal iterative algorithm based on gradient descent method is widely used in depth learning and neural network, and it is also very useful.)