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matlab33

于 2008-04-13 发布 文件大小:1KB
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  学会MATLAB编程; 学会用单纯型法求解线性规划; 学会用对偶单纯型法求解线性规划;(Institute of MATLAB programming learn how to use simple method to solve linear programming learn how to use dual simplex method to solve linear programming )

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    2009-10-08 19:05:16下载
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  • image
    本压缩包是用于实验的载体图像和要嵌入的图像,仅供参考使用(The compressed package is used in the experiment to be embedded in the carrier image and the images used for reference only)
    2009-11-21 11:29:13下载
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  • ex1_4
    Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.
    2011-02-14 18:35:53下载
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    大地坐标的纬度和经度,许多大地坐标的纬度和经度的批处理非常方便。(Geodetic coordinates to latitude and longitude, very convenient to many geodetic coordinates to latitude and longitude of batch.)
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    machine learning a probabilistic persepective的源码(machine learning a probabilistic persepective code)
    2012-12-31 11:43:06下载
    积分:1
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    LZW of black and white images
    2020-06-20 03:20:02下载
    积分:1
  • GSHchen
    This the program for Generalized synchronization of fractional order Hyperchaotic chen system
    2021-04-02 15:49:06下载
    积分:1
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    说明:  直接型自适应滤波器的源码,并能实时跟踪测量信号频率,滤除白噪声和谐波(Direct source-type adaptive filter, and real-time tracking and measuring the signal frequency, filtered white noise and harmonic)
    2008-09-10 11:02:32下载
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  • kernel-density-estimation
    说明:  一种核密度估计,或者称作带宽选择的方法,可以估计二维尺度参数,至于多维以上的估计方法尚在开发,多维情况下个人经验好的方法是多次实验取较好值(kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times)
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