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目标函数是De Jong函数，是一个连续、凸起的单峰函数-Objective function is De Jong function, is a continuous, convex function of the single-peak
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Designs a frequency-domain and time-domain FIR equalizer for
a single-input single-output (SISO) channel.
Frequency-domain equalization uses a Chebychev criteria and
is specified in terms of frequency response functions.
It is a conv
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The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function.
The global minimum is insid
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this matlab code that perform convex optimization for several objective function types-this is matlab code that perform convex optimization for several objective function types
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MATLAB工具箱函数，适合于凸优化计算，CVX，使用简单，应用广泛-MATLAB toolbox function, suitable for convex optimization, CVX, easy to use, widely used
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多面体凸集的函数下载之后加到MATLAB中就可以用了-Function of polyhedral convex set after download added to the MATLAB can be used
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该程序能够实现对于一个样本完成感知机，最小二乘法，凸优化方法解决SVM和matlab自带函数解决SVM的四种程序，并且通过修改部分参数可以完成不同效果。(The program can be achieved for a complete sample perceptron, least squares method, convex optimization method to solve SVM and MATLAB with four program function to solve th
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用于稀疏优化的最新非凸函数GMC算法，可用于信号处理以及图像处理。(The latest non convex function GMC algorithm for sparse optimization, can be used for signal processing and image processing.)
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梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commo
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