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floyd
最短路径floyd算法 数学建模 matlab(Floyd shortest path algorithm of mathematical modeling matlab)
- 2008-06-14 15:58:28下载
- 积分:1
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14-NR
14节点牛拉算法计算潮流程序,用于电力系统的潮流计算程序,可以直接用于潮流计算,也可以用于学习潮流计算的流程和方法。(For power flow calculation program, can be used directly flow calculation can also be used to study flow calculation processes and methods.)
- 2020-07-04 20:40:02下载
- 积分:1
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TE_PHC
说明: 二维光子晶体弯曲波导的fdtd程序,matlab语言 ,TE波, PML边界条件,平面波光源(Two-dimensional photonic crystal waveguide bend the FDTD program, matlab language, TE wave, PML boundary conditions, plane wave light source)
- 2008-11-03 15:49:09下载
- 积分:1
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SDCS
用matlab实现的改进的布谷鸟算法——SDCS,它是将最速下降法与CS相结合的(Matlab implementation of the improved algorithm of the cuckoo- SDCS , it will steepest descent method with CS
)
- 2020-09-25 10:27:47下载
- 积分:1
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udf_dpm_tongji
fluent多相流DPM模型中使用用户自定义函数对颗粒进行统计(DPM fluent multiphase flow model using user-defined functions for particle statistics)
- 2020-12-06 21:09:21下载
- 积分:1
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混合同余法
说明: 用混合同余法生成两组伪随机数,利用投针试验求圆周率。软件:matlab。(Two groups of pseudo-random numbers are generated by the method of mixed congruence, and the circularity is calculated by the test of inserting needle. Software: MATLAB.)
- 2020-04-06 10:23:11下载
- 积分:1
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fft13
fft code in visual c++
- 2011-07-16 22:23:05下载
- 积分:1
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KMP-string-match
编写一个使用KMP算法的字符串匹配程序。
使用方法:字符串匹配.exe -f xxx.txt -s xxx
-f 指定要查找的文件
-s 指定要查找的字符串(Writing a string matching algorithm using KMP program. How to use: string matching exe-f xxx.txt-s xxx-f to specify the file you want to find-s to specify the search string)
- 2013-12-08 01:12:46下载
- 积分:1
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shenliu
有限元计算基本程序,为毕业论文时编写的局部渗流计算程序。(Finite element method the basic procedures for the thesis prepared by local seepage calculation procedures.)
- 2007-08-20 14:00:54下载
- 积分:1
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PCA算法程序 pca
PCA算法程序设计步骤:
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步)
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
(PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2021-03-09 13:09:27下载
- 积分:1