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这是用matlab实现无约束优化\\线性规划\\非线性规划等规划问题的基本实现例子-This is achieved using Matlab unconstrained optimization \\ linear programming \\ planning nonlinear programming problem is the basic Examples are
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bnb20 bnbgui20 16Nov2001-BNB20 solves mixed integer nonlinear optimization problems.
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非线性最小二乘优化问题，经过试验很好用，有兴趣的可以-Nonlinear least squares optimization problem, after a test is useful, who are interested can try
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精通MATLAB最优化计算 配套光盘
本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。
-The main contents of the book is the
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用PSO算法（粒子群算法）求解非线性方程组-Using PSO ( particle swarm optimization ) algorithm for solving nonlinear equations
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共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。-Conjugate gradient method (Conjugate Gradient) between the steepest descent between law and Newton'
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基于粒子群优化算法的非线性函数极值寻优,这里的适应度函数为Ackley函数，适应度值为函数值。根据初始粒子适应度值确定个体极限和群体极限。-Nonlinear function based on particle swarm optimization extremal optimization, where the fitness function for the Ackley function, the value of the fitness function value. Accordin
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多元非线性回归——岭回归方法，比常规的最小二乘更适合数据量较大的优化问题-Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data
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无约束一维极值/无约束多维极值/约束优化/非线性最小二乘优化/线性规划/整数规划/二次规划/遗传优化算法等对应的matlab程序-Unconstrained one-dimensional extremal/unconstrained multidimensional the pole/constrained optimization/nonlinear least squares optimization/linear programming/integer programming/Quadr
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用G-N法求解非线性最小二乘优化问题
用修正G-N法求解非线性最小二乘优化问题
用L-M法求解非线性最小二乘优化问题
-GN method for solving nonlinear least squares optimization problems using a modified GN method for solving nonlinear least squares optimization problems using LM method for solving non
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粒子群优化的基本算法，利用该方法求解非线性方程组-The basic particle swarm optimization algorithm, using this method for solving nonlinear equations
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用于做最优化处理，可以做线性和非线性的最优化处理-Used to make the optimization process can be done in linear and nonlinear optimization process
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神经网络遗传算法函数极值寻优-非线性函数极值-Function neural network genetic algorithm optimization extreme- extreme nonlinear function
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非线性优化的fortran程序，主要针对非线性电子系统进行-Nonlinear optimization, nonlinear electronic systems mainly for
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A concept for the optimization of nonlinear functions using particle swarm methodology is introduced.
The evolution of several paradigms is outlined, and an implementation of one of the paradigms is
discussed. Benchmark testing of t
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利用神经网络优化BP神经网络，能有效提高BP神经网络对非线性的拟合精度，效果较好。-Using neural network optimization BP neural network, BP neural network can effectively improve the accuracy of nonlinear fitting better.
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PSO算法和蒙塔卡洛算法的混合算法，求解非线性方程组。单目标优化问题-Hybrid algorithm of PSO and Monta Carlo algorithms for solving nonlinear equations. Single-objective optimization problem
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对应书籍为《复杂非线性系统自适应动态优化》课本第六章例子的程序，讲述单网络的自适应动态优化-Corresponding books as " complex adaptive dynamic optimization of nonlinear systems" textbook example of Chapter VI of the program, about a single network adaptive dynamic optimization
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遗传算法程序源代码求解非线性最优化问题，可以学习。-Genetic algorithm source code for solving nonlinear optimization problems
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粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
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