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matrix
基于OpenMP的大型矩阵相乘的算法源码(Based on OpenMP for large matrix multiplication algorithm source code)
- 2014-06-11 19:47:16下载
- 积分:1
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gravity_direct_problem
说明: 重力异常正演代码,请好好使用它。帮助学习。。。。(Gravity anomaly forward code, please use it well. Help learn)
- 2019-03-21 09:39:57下载
- 积分:1
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pcamat
本征正交模态分解法,用于多维随机场特征模态提取,得到特征值及特征向量(proper orthogonal decompositioin)
- 2012-09-23 21:53:44下载
- 积分:1
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godonov_burgers
godunov方法求解burgers方程,Toro书上的源代码翻译成MATLAB(burgers equation godunov method, Toro books translated into the source code for MATLAB)
- 2021-04-24 02:18:47下载
- 积分:1
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Gmainelement
列主元素高斯消去法,硕士研究生数值分析课程内容(Out the main elements Gaussian elimination, graduate numerical analysis course content)
- 2013-03-24 16:53:25下载
- 积分:1
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migration(FKaPS)
F-K域偏移法和相移法偏移程序(C语言)(FK domain migration method and the phase- shift method migration program (C language))
- 2021-04-06 20:59:02下载
- 积分:1
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主成分分析
说明: 利用python进行因子分析,因子分析可以进行降维!(Using Python factor analysis, factor analysis can reduce dimensionality!)
- 2020-09-18 08:57:54下载
- 积分:1
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matlab_bgl
说明: 基本图论函数库,应用matlab程序,实现路径规划问题(The MatlabBGL library fills a hole in Matlab s suite of algorithms. Namely, it provides a rich set of algorithms to work with graphs, as in graph theory graphs. The MatlabBGL package uses Matlab s native sparse matrix type as a graph and provides algorithms that work)
- 2009-08-19 10:19:04下载
- 积分:1
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FVM-Couette
说明: 采用有限体积算法一阶迎风型离散格式对二维 Couette流动进行数值求解.(The first-order upwind discrete scheme of the finite volume algorithm is used to solve the two-dimensional gouette flow)
- 2020-04-20 17:19:04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