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gaussian

gaussian是一個功能強大的量子化學綜合軟件包。其可執行程序可在不同型號的大型計算機，超級計算機，工作站和個人計算機上運行，并相應有不同的版本。高斯功能：過渡態能量和結構、鍵和反應能量、分子軌道、原子電荷和電勢、振動頻率、紅外和拉曼光譜、核磁性質、極化率和超極化率、熱力學性質、反應路徑，計算可以對體系的基態或激發態執行。可以預測周期體系的能量，結構和分子軌道。因此，gaussian可以作為功能強大的工具，用于研究許多化學領域的課題，例如取代基的影響，化學反應機理，勢能曲面和激發能等等。常常與gaussview連用。

Using gaussian elimination to solve linear equations.

Using gaussian elimination to solve linear equations.

標簽： elimination equations gaussian linear

上傳時間： 2013-12-18

上傳用戶：shus521
Using gaussian elimination to solve linear equations. // In this version, we allow matrix of any si

Using gaussian elimination to solve linear equations. // In this version, we allow matrix of any size. This is done by treating // the name of a 2-dimensional array as pointer to the beginning of the // array. This makes use of the fact that arrays in C are stored in // row-major order.

標簽： elimination equations gaussian version

上傳時間： 2016-02-14

上傳用戶：hxy200501
gaussian mixture modelling in matlab

gaussian mixture modelling in matlab

標簽： modelling gaussian mixture matlab

上傳時間： 2016-02-28

上傳用戶：weixiao99
gaussian algorithm for Bayesian Model Selection

gaussian algorithm for Bayesian Model Selection

標簽： algorithm Selection gaussian Bayesian

上傳時間： 2016-03-03

上傳用戶：6546544
計算高斯各階導函數的C程序 Computing gaussian derivative waveforms of any order. Dgwaveform efficiently cre

計算高斯各階導函數的C程序 Computing gaussian derivative waveforms of any order. Dgwaveform efficiently creates gaussian derivative wavelets

標簽： efficiently Dgwaveform derivative Computing

上傳時間： 2014-01-19

上傳用戶：cursor
gaussian procession 原程序,用于解決分類問題,有興趣可以看看啊

gaussian procession 原程序,用于解決分類問題,有興趣可以看看啊

標簽： procession gaussian 程序分類

上傳時間： 2016-04-12

上傳用戶：凌云御清風
sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf

標簽： Semiparametric estimation parameters estimates

上傳時間： 2016-04-15

上傳用戶：talenthn
sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip

標簽： Semiparametric estimation parameters estimates

上傳時間： 2016-04-15

上傳用戶：qilin
sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf

標簽： Semiparametric estimation parameters estimates

上傳時間： 2014-12-08

上傳用戶：一諾88
Creates a gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak

Creates a gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.

標簽： architecture COVARTYPE specified gaussian

上傳時間： 2016-04-28

上傳用戶：dyctj

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gaussian

Using gaussian elimination to solve linear equations.

Using gaussian elimination to solve linear equations. // In this version, we allow matrix of any si

gaussian mixture modelling in matlab

gaussian algorithm for Bayesian Model Selection

計算高斯各階導函數的C程序 Computing gaussian derivative waveforms of any order. Dgwaveform efficiently cre

gaussian procession 原程序,用于解決分類問題,有興趣可以看看啊

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian gaussian copula estimation This package estimates parameters of a G

Creates a gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak