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Cafeteria-line-modeling-
食堂排队建模与分析,以作者所在的学校的食堂为例，建立数学模型，通过作者的调查和计算，进而优化食堂排队方案，解决食堂拥挤和成本的问题。(Cafeteria line modeling and analysis of where the school canteen, for example, the establishment of the mathematical model, by the author of the survey and calculation, thereby optimizing the cafeteria line program to solve the problem of the crowded cafeteria and cost.)
- 2013-04-02 17:21:51下载
- 积分：1
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ICA
说明： 独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。(Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.)
- 2010-04-01 17:16:02下载
- 积分：1
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Decoupled_Double_PLL
双DQ锁相PLL算法的研究，具有一定参考价值。(Research Documentation double DQ phase-locked PLL algorithm has some reference value.)
- 2014-09-03 10:16:32下载
- 积分：1
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Weight_W1
Cubic Spline weight function
- 2013-08-18 13:44:45下载
- 积分：1
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pmsmpi
自己建的一个模型，给大家参考,希望对大家有用。(A matlab model )
- 2014-02-14 15:26:24下载
- 积分：1
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UnwellLineEquSet-matlab
病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示：
病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。
程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。
(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)
- 2009-12-10 19:08:10下载
- 积分：1
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vqsplit
This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each cluster replaces the centroid first. If the total distance is not improved substantially, The centroids are each split to two. This goes on untill the required number of clusters is reached and the improvement is not substantial.
- 2011-02-03 23:01:09下载
- 积分：1
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code-1
读取计算机上的图片，图片格式的转换，并对二值化的图像进行radon变换，变换角度分别是0°、25°(Read the pictures on your computer, convert image format, and binarized image radon transform, transform angle are 0,25)
- 2014-08-07 16:54:22下载
- 积分：1
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triangleMatlab
the graphs where you can find how the function looks like - triangle
- 2013-11-30 17:39:18下载
- 积分：1
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libsvm-mat-3.0-1
This is a matlab svm, very useful to the matlab virtual machine
- 2012-02-10 18:09:28下载
- 积分：1
