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说明: 经验正交函数分析FORTRAN程序,用于变量场的时空结构分离(配套书籍《现代气候统计诊断与预测技术》)。(empirical orthogonal function, FORTRAN procedure, used to separate the spatio-temporal structure of climate variables.)
- 2019-03-07 17:15:59下载
- 积分:1
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SAP5SourceCode
SAP5 源代码,完整的有限元源程序。LS1.FOR-LS10.FOR(SAP5 Source Code)
- 2010-03-05 00:22:34下载
- 积分:1
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Matching-2
//给定整数n,产生所有[2n]上的匹配(matching)
//将其视为一个所有块大小均为2的集合分拆
//以a_i表示其第i个元素所在的集合号
//输出格式为 a1 a2 a3 ...
//满足
//a_{i+1} <= max { a1,a2,...a_i } + 1
(//a given integer n, have all [2n] on the matching (matching)// will be considered as an all pieces are two sets of a split// a_i said in its i elements of a collection of lies// output format for a1 a2 a3 ...// meet// a_ i (a))
- 2007-06-13 22:14:46下载
- 积分:1
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qiyizhi
奇异值能量差分谱计算,可用于信号降噪处理(Singular value of the energy difference spectrum calculation can be used for signal noise reduction)
- 2021-03-21 14:29:16下载
- 积分:1
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cp1
计算风力机的转换功率的算例
根据流体力学激盘素理论推出
最大转换功率不可能超过0.47(cofficience of power change from wind energy to eletricity energy.)
- 2010-02-09 03:18:18下载
- 积分:1
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UDF for thermal properties of water
密度,比热,热导率,粘性系数随压力、温度变化的UDF(UDF of density, specific heat, thermal conductivity, viscosity coefficient with pressure and temperature.)
- 2018-10-17 18:23:21下载
- 积分:1
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gaussmix
混合高斯模型
对于给定的数据,可以自动选择最佳聚类数目和聚类中心,并根据判决规则进行收敛,运算很快,非常方便(Mixed-Gaussian model for a given data, can automatically select the best cluster number and cluster centers, and in accordance with decision rules convergence, compute very fast, very convenient)
- 2008-06-06 11:20:29下载
- 积分:1
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polycounter2010.5.8
多项式计算器,可以用于多项式的各种计算。(Polynomial calculator can be used for a variety of computing polynomials.)
- 2012-10-19 15:23:05下载
- 积分:1
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CurveFitCOMDemo
曲线拟合程序,matlab编写成com控件非常好用,适用于初学者(Curve fitting procedures, matlab developed into a very useful com controls for beginners)
- 2008-04-16 21:08:26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