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著名的Sparco工具包。是matlab下解决线性约束，二阶锥约束和半定约束等优化问题的常用工具。-Sparco famous Kit. Are resolved under matlab linear constraints, second-order cone constraint and semidefinite constrained optimization problems, such as commonly used instrument.
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这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等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、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
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智能天线方向图仿真自适应算法－－约束线性lmcv算法-Smart antenna pattern simulation of adaptive algorithm- Algorithm for Constrained Linear lmcv
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多参数规划工具箱用来计算约束线性及分段仿射系统控制器的最优显式解。-multi-parametric toolbox(MPT)is a matlab toolbox for computing explicit optimal orsub-optimal feedback control laws for constrained linear and piecewise affine systems.
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4 files are included in the package:
(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and
(2) ts1.m - to reconstruct the vector
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求最小值的方程原文件及运行命令文件，可以方便快捷的求出非线性有约束的最小值-Seeking the minimum value of the equation of the original documents and run the command file, you can find convenient and efficient non-linear constrained minimum
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使用先进的人工鱼群算法求解线性约束规划，此代码为原创，带注释，易读。-The use of advanced artificial fish school algorithm for solving linear constrained programming, the code for the original, with annotations, easy to read.
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使用HOPfield神经网络求解参数线性约束规划，此代码为原创，可直接运行。-Use HOPfield Neural networks for solving parametric linear constrained programming, the code for the original, can be directly run.
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线性语速广义旁瓣相消器（LC-GSC）的仿真和线性约束最小方差波束形成（LCMV）比较-Linear Speed generalized side lobe canceller (LC-GSC) of the simulation and linear constrained minimum variance beamforming (LCMV) compared
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用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
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constrained linear least square implementation
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程序描述了一种内点法的方法，能够实现具有等式不等式约束的线性最优算法求解-Procedure describes a method of interior-point method, to achieve equality with inequality constrained linear optimal algorithm
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这是一个多目标多参数无约束线性优化程序，其中包括三个具体的应用实例，对于解决非线性优化问题十分好用-This is a multiple target multi parameter non linear constrained optimization program, which includes three specific examples of application, to solve the nonlinear optimization problem is very easy t
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主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。-The main descr iption Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem
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基于线性约束最小方差（LCMV）准则、ASC旁瓣相消——MSE准则的波束合成，运行效果极好，放心下载。-Based on the linear constrained minimum variance (LCMV) criterion, ASC Sidelobe Canceller- MSE criterion beamformer, run very effective, secure download.
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求解约束优化，非线性最小二乘优化，线性优化，整数规划，二次规划等最优化问题-Solving constrained optimization, nonlinear least squares optimization, linear optimization, integer programming, quadratic programming and other optimization problems
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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传统的幅度约束波束形成器是一个非凸问题，需将原始模型化为线性规划进行间接求解。该文针对均匀线阵提出一种相位响应固定幅度响应约束(PFMC)的稳健波束形成方法。利用权矢量逆序列对应的传递函数与阵列响
应函数只差一个相位因子这一性质，将阵列响应的相位设置为固定的线性相位，仅对阵列响应的实数幅度进行约束，从而得到一个凸的代价函数，最优权矢量可以利用内点法求出。-The conventional magnitude constraints beamformer is a non-convex iss
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使用传统的几种算法来形成自适应波束，包括最大信噪比准则（MSNR），线性约束最小方差（LCMV）和最小均方误差准则（MMSE）等。-The traditional algorithms are used to form adaptive beams, including maximum signal-to-noise ratio (MSNR), linear constrained minimum variance (LCMV), and minimum mean square error cr
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