2． Using Gaussian elimination method and Gaussian elimination method with row scaled method to solve the following tri-diagonal system for n=10 and 100
標(biāo)簽： method elimination Gaussian scaled
上傳時(shí)間： 2013-12-31
上傳用戶：lyy1234
Using Gaussian elimination to solve linear equations.
標(biāo)簽： elimination equations Gaussian linear
上傳時(shí)間： 2013-12-18
上傳用戶：shus521
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(biāo)簽： elimination equations Gaussian version
上傳時(shí)間： 2016-02-14
上傳用戶：hxy200501
gaussian mixture modelling in matlab
標(biāo)簽： modelling gaussian mixture matlab
上傳時(shí)間： 2016-02-28
上傳用戶：weixiao99
gaussian algorithm for Bayesian Model Selection
標(biāo)簽： algorithm Selection gaussian Bayesian
上傳時(shí)間： 2016-03-03
上傳用戶：6546544
計(jì)算高斯各階導(dǎo)函數(shù)的C程序 Computing Gaussian derivative waveforms of any order. Dgwaveform efficiently creates Gaussian derivative wavelets
標(biāo)簽： efficiently Dgwaveform derivative Computing
上傳時(shí)間： 2014-01-19
上傳用戶：cursor
gaussian procession 原程序,用于解決分類問(wèn)題,有興趣可以看看啊
標(biāo)簽： procession gaussian 程序 分類
上傳時(shí)間： 2016-04-12
上傳用戶：凌云御清風(fēng)
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(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2016-04-15
上傳用戶：talenthn
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(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2016-04-15
上傳用戶：qilin
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(biāo)簽： Semiparametric estimation parameters estimates
上傳時(shí)間： 2014-12-08
上傳用戶：一諾88
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