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example
此程序用最小二乘法拟合椭圆图像，模拟地球的形状(This program fit ellipse images using the least squares method to simulate the Earth' s shape)
- 2015-12-05 21:24:31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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277481
On the support vector machine (SVM) is a relatively quick calculation method, can improve the calculation speed
- 2017-05-13 06:24:09下载
- 积分：1
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boykov_kolmogorov_max_flow.cpp
Maximum Flow Graph (Boykov Kolmogorov Algorithm)
- 2013-10-09 03:12:32下载
- 积分：1
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FMM_C
电磁计算用的快速多级子算法，欢迎大家下载交流(Fast multilevel sub algorithm for electromagnetic computation)
- 2020-12-03 16:29:25下载
- 积分：1
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cylinder
说明： 经典圆柱绕流算例，基于palabos开源软件，计算结果非常好(cylinder flow with palabos)
- 2020-05-11 10:14:35下载
- 积分：1
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chongwenweijifen
齐民友的重温微积分，通俗易懂的经典数学书籍。 (Naritami revisit the Friends of calculus, a classic user-friendly math book.)
- 2020-11-18 16:29:38下载
- 积分：1
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wavenumber
Wave numbers of the dispersion wave
- 2018-02-03 21:13:16下载
- 积分：1
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STFT
这是一个对时间序列进行短时傅立叶变换的源程序,测试过,好用的.(This is a program for STFT,which had tested.)
- 2009-05-06 08:20:45下载
- 积分：1
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SVD
％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，
％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，
％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。
％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)
- 2020-12-21 10:29:08下载
- 积分：1
