One-channel queuing system simulator (M/M/1) * Arrival and service times are random and distributed exponetially. * * The simulator is time-slice-driven, i.e. the system model is being * run at discrete time points, with constant increments deltaT. * At each such time moment, program checks if a new item arrival or * release has occurred during previus deltaT.
標(biāo)簽： One-channel distributed and simulator
上傳時間： 2014-01-15
上傳用戶：kr770906
％CHECKBOUNDS Move the initial point within the (valid) bounds. ％ [X,LB,UB,X,FLAG] = CHECKBOUNDS(X0,LB,UB,nvars) ％ checks that the upper and lower ％ bounds are valid (LB <= UB) and the same length as X (pad with -inf/inf ％ if necessary) warn if too long. Also make LB and UB vectors if not ％ already. ％ Finally, inf in LB or -inf in UB throws an error.
標(biāo)簽： CHECKBOUNDS the initial bounds
上傳時間： 2015-10-26
上傳用戶：caiiicc
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
上傳時間： 2014-12-08
上傳用戶：一諾88
Two scripts are included here. 1. convsys.m - combines the state space representation of two systems connected in series. [Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2) This algorithm gives the convolution of two state space representations | A1 B1 | | A2 B2 | u ==> | | ==> | | ==> y | C1 D1 | | C2 D2 | The algorithm also accepts state space objects as inputs and gives out a state space object as output. 2. sysfeedbk.m [Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2) Gives the closed loop state space representation for two systems connected with negative feedback in the following manner. | A1 B1 | u ==> | | ==> y + o | C1 D1 | | - | | | | A2 B2 | | |= | |= | | C2 D2 | The zip file also contains checkcompatibility.m , which checks the compatibility of matrix dimensions in the system and cleanss.m which can be used to clean a state space representation.
標(biāo)簽： representation included combines scripts
上傳時間： 2017-07-25
上傳用戶：semi1981
A quicksort algorithm sourcecode that together with the sourcecode for equalTo, sorts a integer array from lowest to highest and then checks if two numbers in the array added with eachother equals another integer.
標(biāo)簽： sourcecode quicksort algorithm together
上傳時間： 2017-07-26
上傳用戶：lht618
The countless technological advances of the twentieth century require that futureengineering educationemphasizebridging thegapbetweentheoryand the real world.Thisedition hasbeenprepared withparticular attentiontothe needs of undergraduates, especially those who seek a solid foundation in control theory aswellas an ability tobridgethe gapbetween control theory and itsreal- world applications.To help the reader achieve this goal, computer-aided design accuracy checks (CADAC) are used throughout the text to encourage good habits of computerliteracy.Each CADAC uses fundamentalconcepts to ensure the viability of a computer solution.
標(biāo)簽： Analysis Control Linear Design System Fifth and
上傳時間： 2020-06-10
上傳用戶：shancjb
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