搜索资源列表
BFGS_C++
- bfgs算法求全域最小数值点，c++源程序,文件读入套用方便-bfgs domain algorithm ambitious minimum values, c source, the document read into the convenient use
最优化的bfgs算法
- 最优化的bfgs算法，是采用matlab编程,BFGS optimization algorithm, using matlab programming
zyh.rar
- 最优化理论与方法，其中包括两种BFGS算法与共轭梯度法，以及H终止准则！！1,Optimization theory and methods, including the two co-BFGS algorithm for conjugate gradient method, as well as the termination criteria for H! ! 1
zuiyouhua
- 采用matlab语言实现黄金分割 不精确一维搜索 DFP BFGS 算法，全部原创 仅供参考-Language implementation using matlab inexact one-dimensional golden section search DFP BFGS algorithm, all the original for reference only
aa
- BFGS算法本程序适用于求解形如f(x)=1/2*x Ax+bx+c二次函数的稳定点-BFGS algorithm for solving This procedure applies to the form f (x) = 1/2* x Ax+ Bx+ C quadratic function of the stable point
BFGS
- 利用BFGS算法求解大规模无约束最优化问题，代码所用语言为Fortran77.-BFGS algorithm using large-scale unconstrained optimization problems, the code language for Fortran77.
broydn
- BFGS方法子程序，近似的塞黑矩阵算法。-BFGS method subroutines, similar to Serbia and Montenegro matrix algorithm.
bfgs
- 用于非精确搜索后的数值计算，目前公认较为成熟的算法之一。-scientific calculation
Quasi-Newton-Methods
- 拟牛顿法(Quasi-Newton Methods)是求解非线性优化问题最有效的方法之一。其实DFP算法、BFGS算法都属于拟牛顿法，即，DFP、BFGS都分别是一种拟牛顿法-Quasi-Newton method (Quasi-Newton Methods) is one of the most effective methods for solving nonlinear optimization problems. In fact, the DFP algorithm, BFGS algo
bfgs
- matlab优化BFGS算法，优化中常用算法。-matlab
BFGS
- 最优化方法里的BFGS拟牛顿算法，针对特定的二元函数（可修改）给出极小点和最优值。-Optimization methods in the BFGS quasi-Newton algorithm for a particular binary function (can be modified) gives minimum point and the optimal value.
liblbfgs-1.9.tar
- 拟牛顿算法计算函数最小值，采用LBFGS算法，亲测可用。-a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal.
BFGSyouhuasuanfa
- 精确线性搜索的BFGS算法求解下面无约束问题-Precise linear search algorithm for solving the following BFGS unconstrained problem
BFGS
- 数学计算方法，拟牛顿BFGS算法，使用matlab编写-Mathematical calculation method, quasi-Newton BFGS algorithm, using matlab prepared
nonlinear-optimization
- 非线性规划各种算法汇总，包括线搜索、梯度下降法、牛顿法、共轭梯度法、DFP算法、BFGS算法和信赖域算法-Summary all kinds of algorithm of nonlinear programming, including line search, the gradient descent method, Newton method and conjugate gradient method, DFP algorithm and BFGS algorithm and trust
quasi-Newton-method
- 功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入的可变参数变量，简单调用bfgs时可以忽略它 但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x) input: x0 is the initial point, fun, gfun respective