搜索资源列表
matlab
- 最优化算法中的外罚函数法，求解最优的解 可以直接利用-Optimization algorithm outside the penalty function method for solving the optimal solution can be directly utilized
Guass_Newton
- 高斯牛顿函数的最优化算法matlab源程序-Function by the Gauss-Newton optimization algorithm matlab source code
function
- 函数逼近法，最优化的算法，使用函数逼近法达到工程最优化-Function approximation method, optimization algorithm, using the function approximation method to achieve project optimization
Numerical-Analysis-for-Statisticians
- Java常用数值算法集 共有数值计算中常用的Java方法近200个．内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、数据的统计描述、傅里叶变换谱方法、解常微分方程组、两点边值问题的解法和解偏微分方程组．-Java common set numerical algorithm the total numerical calculation commonly used Java method
matlab-for-fminunc-and-fminbnd
- 求解工程最优化即最大（小）值问题的常用Matlab函数及其使用方法-Ie, the maximum value of (small) problem solving engineering optimization commonly used Matlab functions and methods of use
1
- 最速下降法求非线性无约束最优化（函数极值）问题-The steepest descent method for solving nonlinear unconstrained optimization (function extremum) problem
2
- FR共轭梯度法求非线性无约束最优化（函数极值）问题-FR conjugate gradient method for solving nonlinear unconstrained optimization (function extremum) problem
3
- BFGS拟牛顿法求非线性无约束最优化（函数极值）问题-BFGS quasi-Newton method for solving nonlinear unconstrained optimization (function extremum) problem
5
- DFP拟牛顿法求解非线性无约束最优化问题（函数极值）-DFP quasi-Newton method for solving nonlinear constrained optimization problem (function extremum)
Penalty-Function-Method-
- 惩罚函数法C语言相关程序 它将有约束最优化问题转化为求解无约束最优化问题：其中M为足够大的正数， 起"惩罚"作用， 称之为罚因子，F(x, M )称为罚函数。-Penalty Function Method C language-related program it would have constrained optimization problem is transformed into solving unconstrained optimization problem: where
PHR_multiplier_method
- 《最优化理论与方法》书籍中的乘子法的源程序，该书中的很多案例都用此方法试验过，本代码是一个小案例，将目标函数和约束函数按自己的需求换掉就能进行所期望的运算-" Optimization Theory and Methods" books multiplier method of the source, the book' s many cases are tested using this method, the code is a small case, the obj
Trust-RegionInterior_Point
- 本代码为《最优化理论与方法》书籍重的信赖域算法的代码，本代码中的目标函数和约束等初值可由需要进行改变，来得到所期望的计算-The code for the " optimization theory and method" heavy books trust region algorithm code, the code of the objective function and constraints may need to change the initial value
conjugate-gradient-method
- 本代码为《最优化理论与方法》书籍中的共轭梯度法算法的代码，并举了两个书上的作业题的例子，本代码中的目标函数和约束等初值可由需要进行改变，来得到所期望的计算-The code for the " optimization theory and method" books conjugate gradient method algorithm code, citing two books on the example of the job title, the code in th
steepest-descent-method
- 本代码为《最优化理论与方法》书籍中的拥有Amijo改进的最速下降法算法的代码，并举了3个书上的作业题的例子，本代码中的目标函数和约束等初值可由需要进行改变，来得到所期望的计算-The code for the " optimization theory and method" books have Amijo improvement in the steepest descent method algorithm code, citing the three books on
BFGS
- 本代码为《最优化理论与方法》书籍中的牛顿法和拟牛顿法算法的代码，并举了2个书上的作业题的例子，本代码中的目标函数和约束等初值可由需要进行改变，来得到所期望的计算-The code for the " optimization theory and method" books in the Newton method and quasi-Newton method algorithm code, citing two books on the example of the job
DFPTest
- 变尺度DFP方法； 非线性最优化； 多元函数优化方法-DFP variable metric method nonlinear optimization multi-function 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
pfmethod
- 罚函数法将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法Matlab源程序-Penalty function method will be constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function method in Matlab source
PenaltyFunctionMethod
- 罚函数法是将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法的Matlab源程序。-Penalty function method is a constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function in Matlab source.