国产福利片在线观看,久久精品国产999大香线蕉,亚洲欧美99

coefficient

％ binomial.m by David Terr, Raytheon, 5-11-04, from mathworks.com ％ Given nonnegative integers n an

％ binomial.m by David Terr, Raytheon, 5-11-04, from mathworks.com ％ Given nonnegative integers n and m with m<=n, compute the ％ binomial coefficient n choose m.

標簽： nonnegative mathworks binomial Raytheon

上傳時間： 2015-08-27

上傳用戶：mhp0114
support vector classification machine ％ soft margin ％ uses "kernel.m" ％％ xtrain: (Ltrain,N) wit

support vector classification machine ％ soft margin ％ uses "kernel.m" ％％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1

標簽： classification support machine Ltrain

上傳時間： 2015-09-04

上傳用戶：問題問題
％ A 2D homogeneous convection-diffusion case (u=exp(-ex*deta*x-ex*deta*y) with a square with ％ all

％ A 2D homogeneous convection-diffusion case (u=exp(-ex*deta*x-ex*deta*y) with a square with ％ all Dirichlet boundary, note that reaction coefficient is not zero ％ by indirect BKM

標簽： convection-diffusion deta with homogeneous

上傳時間： 2016-01-03

上傳用戶：CHINA526
多項式曲線擬合任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as

多項式曲線擬合任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.

標簽： Least-squares arbitrary Purpose Builder

上傳時間： 2013-12-18

上傳用戶：宋桃子
四種聚類算法源代碼及示例代碼,本程序的最終目的是形成一套標準的用于聚類、可擴展的工具。包括的內容有1. 聚類算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust

四種聚類算法源代碼及示例代碼,本程序的最終目的是形成一套標準的用于聚類、可擴展的工具。包括的內容有1. 聚類算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 評估分類原型：程序可以在二維圖像上繪制出聚類的結果 3. 驗證：程序給每一個算法提供驗證機制，每個聚類算法會統計Partition coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)幾種衡量指標。

標簽： FCMclust GKclust GGclust Kmedoid

上傳時間： 2013-12-17

上傳用戶：13160677563
程序包包含的驗證方法

程序包包含的驗證方法，會根據以下的多個指數分配系數(Partition coefficient)，分類熵Classification Entropy ，分區索引，分離指數（Separation Index），Xie and Beni s的索引，嚴重聚類的算法

標簽： 程序驗證方法

上傳時間： 2017-02-21

上傳用戶：playboys0
使用INTEL矢量統計類庫的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and

使用INTEL矢量統計類庫的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and Skewness  Variation coefficient  Quantiles and Order Statistics  Minimum and Maximum  Variance-Covariance/Correlation matrix  Pooled/Group Variance-Covariance/Correlation Matrix and Mean  Partial Variance-Covariance/Correlation matrix  Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers

標簽： 61623 and Kurtosis central

上傳時間： 2017-05-14

上傳用戶：yzy6007
mosfet并聯使用

mosfet并聯使用介紹了并聯使用的注意事項，特別注意避開Vgsth zero thermal coefficient以下的正溫特性設計

標簽： mosfet 并聯

上傳時間： 2022-03-01

上傳用戶：bluedrops

亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

coefficient

％ binomial.m by David Terr, Raytheon, 5-11-04, from mathworks.com ％ Given nonnegative integers n an

support vector classification machine ％ soft margin ％ uses "kernel.m" ％％ xtrain: (Ltrain,N) wit

％ A 2D homogeneous convection-diffusion case (u=exp(-exdetax-exdetay) with a square with ％ all

多項式曲線擬合任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as

四種聚類算法源代碼及示例代碼,本程序的最終目的是形成一套標準的用于聚類、可擴展的工具。包括的內容有1. 聚類算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust

程序包包含的驗證方法

使用INTEL矢量統計類庫的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and

mosfet并聯使用