搜索资源列表
unconstrained_optimization
- VC实现的，多维函数搜索，无约束优化方法， (1)最速下降法 (2)阻尼牛顿法(3)共轭梯度法 (4)鲍维尔法(5)变尺度法(6)单纯形法 -VC implementation, multi-dimensional function of search, unconstrained optimization methods, (1), steepest descent method (2) damped Newton' s method (3) conjugate gradient
FLOW3D
- FLOW采用有限单元法fortran90编写的求解不可压缩流体的稳态流速和压力场的程序，计算流体方面的，fortran90编写的-FLOW using FORTRAN90 finite element method for solving incompressible prepared steady-state fluid flow and pressure field procedures, computational fluid aspects, fortran90 prepared
zblhf
- 机械设计技术无约束问题优化中最简单的一种--坐标轮换法！-Mechanical Design Technology unconstrained optimization simplest- coordinate rotation method!
feasible-direction-method
- 可行方向法，用于无约束优化的作业所制作，请大家指教-Possible direction method, used for unconstrained optimization of assignments
tidufa
- 共轭梯度法，用于机械优化设计中的无约束优化方法的求法，基于二元函数。-Conjugate gradient method, the optimum design of the machine used for unconstrained optimization method the method, based on binary function.
powell
- 步长加速法的C++实现，也称作Powell法，作为非线性无约束条件优化的方法之一-This a program of Powell.
Powell
- 鲍威尔优化算法：多维无约束优化算法是在无约束优化算法之一，首先选取一组共轭方向，从某个初始点出发，求目标函数在这些方向上的极小值点，然后以该点为新的出发点，重复这一过程直到获得满意解，其优点是不必计算目标函数的梯度就可以在有限步内找到极值点。 鲍威尔法是以共轭方向为基础的收敛较快的直接法之一，是一种十分有效的算法。-Powell optimization algorithm
frcg
- FR共轭梯度法求解无约束优化问题，其中一维搜索用Armijo搜索。-Fletcher-Reeves method for optimization
line_search_gold
- 0.618法求解无约束优化问题的一维精确线搜索，matlab-0.618 method for solving constrained optimization problems of one-dimensional exact line search, matlab
ehf
- 利用广义逆求解无约束条件下的优化问题。求解线性方程组最小二乘解的广义逆法-Under the condition of using the generalized inverse solving unconstrained optimization problems.The least-square solutions to the linear system of equations of the generalized inverse method
gongetidu
- 用于解决非线性无约束优化问题(It is used to solve nonlinear unconstrained optimization problem)
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)
DHS
- 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)
ni_niu_dun_fa
- 基于拟牛顿法解决无约束优化问题的Python代码(Python code for unconstrained optimization based on quasi-Newton method)