搜索资源列表
zunewton-dfpdfp
- 实用最优化方法中的经典题目,包含DFP算法、共轭梯度法、内点法、阻尼牛顿法、最速下降法,都要求在matlab软件下执行,有正确结果输出。-The classical topics practical optimization method, including the DFP algorithm, conjugate gradient method, interior point method, damped Newton method, the steepest descent method,
grad
- 最速下降法又称为梯度法,是1847 年由著名数学家Cauchy 给出的,它是解析法中最古老的一种,其他解析方法或是它的变形,或是受它的启发而得到的,因此它是最优化方法的基础。作为一种基本的算法,他在最优化方法中占有重要地位,主要用来求解无约束最优化问题。-the steepest_descend_method
DEnew
- 差分进化算法-DE算法,是一种有效简单的最优化方法,本资源是典型的DE算法的源代码,帮助读者进行学习研究。-Differential evolution algorithm-DE algorithm is a simple and effective optimization method, this resource is a typical DE algorithm source code, help the reader to study and research.
a
- 最优化理论、最优化方法、无约束坐标轮换法-Optimization theory, optimization method, unconstrained coordinate alternation method
Line-search-technique
- 关于最优化方法的Matlab仿真程序,线搜索技术。-Matlab simulation program optimization method, line search technique.
Optimization-ALogirhtms
- 常用的最优化方法,包括SQP方法,二次规划,信赖域方法,共轭梯度法等-Commonly used optimization method, including the SQP method, quadratic programming, trust region method, conjugate gradient method
GoldTest
- 一维搜索的黄金分割法;简单明了;一元最优化方法-One-dimensional search of the golden section method simple one yuan optimization method
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.
Optimization-Methods-
- 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法,以及主要算法的Matlab程序设计,主要内容包括(精确或非精确)线搜索技术、最速下降法与(修正)牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming," a more systematic introd
zuiyouhua
- 用vb实现最优化方法中的几种基本算法,包括最速下降法、牛顿法、共轭梯度法、最小二乘法等并结合数据库的使用,程序中还附带用户登录及管理-With vb achieve optimal methods of several basic algorithms, including the steepest descent method, Newton method, conjugate gradient method, least squares method and combined use of
SteepestDescent
- 最速下降法又称为梯度法,是1847 年由著名数学家Cauchy 给出的,它是解析法中最古老的一种,其他解析方法或是它的变形,或是受它的启发而得到的,因此它是最优化方法的基础。这里给出其Matlab源程序。-The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical metho
a-nonlinear-least-squares-algorithm-
- 基于最优化方法的最小二乘非线性matlab算法非常有效的-Optimization method based on nonlinear least squares algorithm is very effective matlab
Optimization-Algorithms
- 《最优化方法及其matlab程序设计》的源代码,包含很多经典的最优化算法-" Matlab optimization methods and procedures," the source code, including many classic optimization algorithms
nonlinear-conjugate-gradient
- 在无约束最优化方法中,通过选择搜索方向 k d 而得到的方法主要有四种:最 速下降法,Newton法,共轭方向法,Quasi-Newton (拟牛顿法)。 -Study on the algorithm of several nonlinear conjugate gradient method and the analysis of global convergence
wolfe
- 利用wolfe算法,编写了wolfe程序模块。测试数据引用《最优化方法及其Matlab程序设计》(马昌凤编)的Armijo准则搜索例题-Use wolfe algorithm, written wolfe program modules. Test data reference " optimization methods and Matlab programming" (Ma Changfeng ed.) The search criteria examples Armijo
linear-search
- 用Fibonacci法和抛物线法解决以为搜索问题 对应《最优化方法》(解可新等著)第一章作业题-Solving parabolic method using Fibonacci method and corresponding search problem that " optimization method" (waiting for the solution to new) Chapter job title
huangjinfengefa
- 最优化方法求解无约束非线性规化。一维线性搜索,黄金分割法。-Golden Section optimization
chap10_2
- 实数遗传算法求解函数最优化 基于Matlab遗传算法求解函数最优化方法设计-The real genetic algorithm to solve function optimization
tulun
- 文件中包括了最优化方法图论中的最小树,网络流,二分图等的原理及程序。-The documents include the tree in graph theory, the optimization method of network flow, the principle and procedure of two figure.
gongetidusuanfa
- 无约束问题最优化方法的核心问题是选择搜索方向。 以正定二次函数为例,来观察两个方向关于矩阵A共轭的几何意义-Unconstrained optimization problems are most core issue is to choose the search direction. In definite quadratic function, for example, to observe both directions on the matrix A conjugate geome