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混沌数学G-P算法
混沌数学G-P算法简单的程序说明 具有很强的实现功能(Chaos simple mathematical description of the procedures GP algorithm has a strong realization of functions)
- 2013-06-08 11:11:38下载
- 积分：1
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L-moment-GEV-GPD
《基于L 矩估计的GEV-GPD分布拟合及其频数分配和分位数计算》
L 矩估计各分布参数(包括GUMBEL分布,GEV分布,GPD分布) ，其中包括子程序(1)计算频数分配(PINSHU),(2)数组排序(BSORT),(3)L矩估计GUMBEL,GEV及GPD参数,(4)检验拟合效果TEST,TEST1.( L moment GEV-GPD calculation, which can be used to calculate distributed parameters of L moment, etc. )
- 2020-06-29 06:00:01下载
- 积分：1
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RK_4
求解时滞微分方程的龙格库塔方法！用matlab编写的。(Solving Delay Differential Equations Runge-Kutta methods! Prepared using matlab.)
- 2008-12-25 09:33:06下载
- 积分：1
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Fuuzy
利用模糊理论计算开关柜运行状态，层次分析法(Fuzzy theory based operating condition assessment For MV switchgear)
- 2012-05-11 09:41:54下载
- 积分：1
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registration
point cloud 点云配准计算，通过选择几组匹配的点云数据对对点云数据进行配准处理(point cloud point cloud registration computing, by selecting a set of match point cloud data point cloud data registration process)
- 2016-01-12 11:03:05下载
- 积分：1
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XFEMAbq
abaqus中扩展有限元（UEL）计算疲劳断裂(extended finite element method (uel)for fracture problems within the finite element software ABAQUS)
- 2020-07-27 10:38:40下载
- 积分：1
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lqrcontrol
control souce code with LQR
- 2007-06-16 17:28:58下载
- 积分：1
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more_sols
用于求解非线性代数方程的全部解的函数，提供给大家学习使用(solutions, available to everyone learning to use)
- 2013-06-27 07:38:39下载
- 积分：1
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CCPP-count-number
C/C++写的求小于N的素数，速求，求效率，适合大家看看。(count any numbers less than a order number by c/c++,very quickly,you can learn someting from it.)
- 2012-08-01 20:47:34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
