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ieee33
应用牛顿法的直角坐标系下的33节点潮流计算(33 node flow calculation)
- 2011-08-03 15:21:50下载
- 积分:1
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ErosionTabakoff
用于拓展fluent磨损模型的UDF,采用tabakoff经验公式描述磨损量。(a udf to optimize erosion model in Fluent)
- 2021-03-05 17:19:31下载
- 积分:1
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Kriging-ppt
说明: 克里金方法(Kriging), 是以南非矿业工程师D.G.Krige (克里金)名字命名的一项实用空间估计技术,是地质统计学 的重要组成部分,也是地质统计学的核心。
(Kriging method (Kriging), is a South African mining engineer DGKrige (Kerry King), named after a practical space estimation techniques, is an important part of geostatistics is the core of geostatistics.)
- 2020-12-17 15:39:11下载
- 积分:1
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juzhen-yunsuan
vc++实现的矩阵运算方面得代码,很不错的,内容绝对好吃(matrix operations, code vc++ achieve very good, the content is absolutely delicious)
- 2012-08-12 22:06:39下载
- 积分:1
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w
说明: 任意给定一个M进制的数X,利用栈实现数值转换。(Given an arbitrary number of M band X, use the stack to achieve numerical conversion.)
- 2010-07-06 10:32:10下载
- 积分:1
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2DAcoustic
完成不带PML边界的2维声波介质波场正演(Forward modelling of the wave field in two-dimensional acoustic medium)
- 2021-03-03 19:19:33下载
- 积分:1
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valve
说明: 一个在fluent udf中使用Compute_Force_and_Moment函数计算力的算例(An Example of Compute_Force_and_Moment Function in Fluent UDF)
- 2020-06-19 14:14:38下载
- 积分:1
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MeshFree
说明: Analysis of 2D structure using Mesh Free Method...
- 2020-04-17 06:30:22下载
- 积分:1
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eightpoints
八点法计算camera matrix,八点法计算camera matrix,八点法计算camera matrix,八点法计算camera matrix,八点法计算camera matrix(Eight law camera matrix, eight law camera matrix, eight law camera matrix, eight law camera matrix, eight law camera matrix)
- 2012-12-12 04:17:23下载
- 积分:1
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Matlabcodes-RobustPCA
Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps:
Step1
Calculates the robust mean and the robust
covariance of original dataset using the
minimum covariance determinant (MCD).
In MCD technique, finding a subset
containing half of the data such that its
covariance matrix has the lowest determinant, then using this subset to
calculate the robust mean and the robust
covariance matrix (Hubert, Rousseeuw, &
Branden, 2005)
Step2
Standardize data using robust mean and
robust standard deviation from Step1.
Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and
A is p*p matrix of eigenvectors (also called principalcomponents))
- 2009-11-11 08:07:04下载
- 积分:1