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Montecarlo
malab programa monteclaro
- 2014-08-26 14:14:50下载
- 积分：1
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mm1
说明： matlab实现最简单的DMC 预测控制 单入单出(The simplest DMC algorithm single in single out)
- 2020-04-09 16:35:03下载
- 积分：1
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Desktop
说明： newmark法计算多自由度响应，输入刚度、质量、阻尼矩阵，还有激励矩阵，即可求出响应(The Newmark method is used to calculate the multi degree of freedom response. The response can be obtained by inputting stiffness, mass, damping matrix and excitation matrix)
- 2020-10-24 09:44:03下载
- 积分：1
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Classification-algorithm
本程序用于求解聚类，在生活、科技教研中用途都很广泛。(This procedure is used to solve the clustering is pervasive in life, science and technology teaching and research purposes.)
- 2012-09-08 11:22:02下载
- 积分：1
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duochongfenxing
计算二维图形的分形维数，比较好用，计算方便(Calculate the fractal dimension of a two-dimensional figure)
- 2019-05-12 19:23:36下载
- 积分：1
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Maltab-shuxuejianmo
matlab在数学建模中的应用，有许多有用的算法，可以帮助需要参加数学建模工作的人快速建立模型并求解(matlab mathematical modeling, there are many useful algorithms, people need to participate in the mathematical modeling can help to quickly build the model and solving)
- 2012-03-22 10:31:25下载
- 积分：1
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ex8_PPC
利用广义预测的方法对系统进行辨识和自使用研究，可用于多种模型的研究，注意是m文件。(Using the generalized method of predicting the system identification and self-use studies can be used to study a variety of models, note that m file.)
- 2015-01-07 14:08:26下载
- 积分：1
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BPSKxunhuanpu
设定码元速率、载波频率、采样速率、码元个数等，先仿真bpsk信号，然后对其求循环谱。采用频域平滑的方法。(Set the symbol rate, carrier frequency, sampling rate, number of symbols and so on, first simulate the BPSK signal, and then calculate the cyclic spectrum. The frequency domain smoothing method is adopted.)
- 2020-08-15 15:28:26下载
- 积分：1
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xitongfenxi
09系分习题与解答，适合系统分析人员的学习资料和技术文档(Exercises and answers to sub-09 system is suitable for systematic analysis of the learning materials and technical documentation)
- 2010-03-05 13:24:08下载
- 积分：1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分：1
