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Newmark
数值分析 很好很快的计算特征值和特征向量的方法，很实用(Very fast numerical analysis computing eigenvalues and eigenvectors of the method, it is practical)
- 2009-04-01 10:36:55下载
- 积分：1
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elasticity
说明： abaqus vumat 子程序入门
UMAT FOR ABAQUS/STANDARD INCORPORATING ELASTIC BEHAVIOUR FOR PLANE STRAIN AND AXI-SYMMETRIC ELEMENTS.(introduction to abaqus vumat subroutine)
- 2020-07-08 19:20:08下载
- 积分：1
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photogrammetry
摄影测量学中单像空间后方交会程序，matlab完成矩阵运算，程序简洁实用！(Photogrammetry single resection procedures such as space, matlab complete the matrix calculation, the program simple and practical!)
- 2008-05-25 17:09:55下载
- 积分：1
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LU.tar
LU decomposition program.
- 2012-09-05 02:24:17下载
- 积分：1
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ConQuest_Round-1
book of document including test
- 2016-03-14 23:08:40下载
- 积分：1
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fitqr
说明： 基于矩阵QR分解的最小二乘拟合MATLAB源程序(based on QR decomposition of the matrix least squares fitting MATLAB source )
- 2006-05-12 21:57:50下载
- 积分：1
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LS_SVMlab
LS_SVM 偏最小二乘结合支持向量机(The LS SVM partial least squares and Support Vector Machine)
- 2012-11-22 10:08:51下载
- 积分：1
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lwpr
说明： 局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。(Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.)
- 2020-11-09 15:19:46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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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
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- 2020-09-25 10:27:47下载
- 积分：1
