Nonequilibrium models for a multi component reactive distillation column
|
|
- Coral Bond
- 5 years ago
- Views:
Transcription
1 onequlbrum models for a mul componen reacve dsllaon column D. ROUZIEAU, M. PREVOST, M. MEYER IP/E..S.I.G.C LGC Equpe Séparaon Gaz Lqude 8 Chemn de la Loge, 3078 Toulouse Cedex 4, France Absrac A nonequlbrum model for mul componen separaon processes, ncludng lqud or/and gaze reacons, was developed n hs paper. Ths model nclude he fne mass ransfer rae descrbe by Maxwell Sephan equaons. I s assumed ha he bulk of boh he vapour and lqud are perfecly mxed and ha he ressance o mass and hea ransfer are locaed n wo flms a he lqud/vapour nerface (flm heory). There are no resrcve hypoheses as o he naure and he localsaon of he chemcal reacons. Ths models was solved numercally o smulae numerous example n he ProSm smulaor. So we can do he comparson beween he equlbrum sage models (EQ), n whch he hermodynamc equlbrum s consdered beween he wo phase, and he nonequlbrum model (EQ). Wh reasonable value of Murphee effcences he smulaon usng EQ model s almos equvalen o he EQ model. I seems o be dffcul o esmae effcences for mul componen reacve mxure, bu some EQ model requremens are equally delcae o predc, lke he flm hckness for he mass and hea ransfer. An oher smulaon show ha he model should use he Maxwell Sephan formulaon for mass ransfer even f Fck formulaon gve a good predcon. Inroducon Reacve dsllaon s a un operaon of grea ndusral neres. I can reduce capal and producon coss by combnng wo uns no once, and hs uns can mproved he selecvy, he hea negraon, he converson, ec... Smulaon and desgn of mul componen reacve dsllaon usually s carred ou usng he equlbrum sage model. The lmaon of convenonal equlbrum sage effcency calculaons s dscussed by Lee & Dudukovc (998), Baur & al. (2000), Taylor & Krshna (993), and Wesselngh (997). Ths auhor assume ha he generalsed nonequlbrum model should be preferred for he smulaon of a column for reacve dsllaon o he equlbrum model, because he accurae predcon of ndvdual Murphee ray effcences (or HEPT for packng) s very dffcul n he case of smulaneous mul componen separaon and reacons. The non equlbrum model seems o be beer because he model akes no accoun he echnque characerscs of he column (ype of plae, of packng...), so more near realy. Bu he non equlbrum model needs model requremens whch can be as dffcul o fnd as an effcency. In hs paper, we descrbe our non equlbrum model n he frs par, and defne he model requremens. The second objecve of hs sudy s o compare he convenonal equlbrum model, ncludng a predced ray effcency, and he non equlbrum model. Fnally, he radonal Fck approach for he mass ransfer s compared o he Maxwell Sephan approach.
2 2 onequlbrum model heory A shemac represenaon of he non equlbrum model (EQ) s shown n Fg.. Ths EQ sage may represen a ray or secon of packng. I s assumed ha he bulk of boh he vapour and lqud are perfecly mxed and ha he ressance o mass and hea ransfer are locaed n wo flms a he lqud/vapour nerface (flm heory, Krshna & Sandard, 976 ; Krshna, 977). V j Inerface L j- Sage j Q Vj Q Lj V j+ ev el L j Fgure : The nonequlbrum model Sage equaons The sage equaons are he radonal equaon of he mass balances and energy balances n he bulk phase for each sage (see Taylor & Krshna (993)). Ths equaons ake accoun reacons, and here are no resrcve hypoheses as o he naure and he localsaon of he chemcal reacons. The bulk varables ( composons, molar fluxes, emperaures, energy fluxes) are dfferen of he nerface varables. The emperaure of he vapor and he lqud phases are no assumed o be equal. The enre column s aken o conss of a sequence of such sages. We consder an sage column where sage can be a oal or paral condenser and sage a reboler. The modellng leads o a sysem of dfferenal and algebrac equaons, whch are solved afer dscresaon usng ewon s mehod. Mass and hea ransfer A novel model s used o compue hea and mass ransfer hrough he dffuson layer consdered n he flm heory. Indeed, he flud s consdered as an n componen reacve non deal mxure. The balance equaons for smulaneous hea and mass ransfer are wren n seady sae, akng accoun he reacons. The radonal model use he Fck Formulaon : x = c D m x + x 0 z e z Unforunaely, hs descrpon s lmed a wo componens mxures because does no ake he neracons beween he dfferen componens no accoun; moreover he non dealy for he drvng force s no consdered. So, for mass ransfer, he Maxwell Sephan dffuson law s used, n a novel formulaon. eher he dffuson coeffcens, nor he molar flux due o he reacon, are consdered o be consan. The complee formulaon for n non deal componens s : n j= δ j + x ln γ x j hn flms ressances for mass and hea ransfer T,P x = z n ( x j x j ) j= c D j 0 z e
3 o assumpon s made on he ype or he number of reacons, hus hey can be conrolled by knecs or equlbrum. So, n addon, he mass ransfer rae change due o he chemcal reacon. For he hea ransfer, he Dufour and Sore effecs are negleced and he dffuson hea rae s evaluaed by Fourer's law. These seady sae dfferenal equaons are solved by a DAE negraor whch allow conservng he n Maxwell Sephan formulaon. The complee model can used as well as he Maxwell Sephan formulaon as he Fck Formulaon. Ths allow dfferen smulaons wh he wo law o compare (see resul paragraph 3). Inerface equaon The nerface equaons lnk he wo phases. We assume physcal equlbrum a he vapor lqud nerface for each componen. Moreover, he mass and energy ransfer rae hrough he nerface should be connuous. Model requremens The complee model needs more requremens because of he more complee descrpon of he equpmen. For physcal chemcal properes, he model s lnked o he Prophy hermodynamc lbrary and negraed no he ProSm smulaor. The properes (hermal conducvy, denses, vscosy, surface enson, ec...) s calculaed by hs lbrary. Moreover, for he EQ model, he column equpmen mus be descrbed. : he column dameer, plae or packng characerscs. On he oher hand, for he EQ model, only he number of sages and wo physcal properes ( vapor lqud equlbrum and enhalpes) are needed. The drawback of hs model s he evaluaon of he effcences for he plae or he HEPT for he packng column n he case of mul componen reacve mxure. The EQ model nclude also some delcae conceps; ndeed for hs model we should evaluaed he vapor and lqud flm hckness (el and ev, see Fg. ), and he nerfacal area. The dfference model requremens beween wo models s shown n Fg. 2. Mul componen reacve column smulaon needs eed : Physcal Properes (enhalpes, equlbrum) umber of sage Evaluaed : Effcences (dffcul) HEPT (dffcul) EQ Model EQ Model eed : Physcal Properes (numerous) Column desgn Evaluaed : Flm hckness (dffcul) Inerfacal area (good correlaon) Smulaon resuls Comparason (See resuls) Smulaon resuls Fgure 2 : Model requremens for EQ model and EQ model
4 Plae number Smulaons resuls We wll dscuss wo examples o show he non equlbrum smulaon column n pracce : - Reacve dsllaon plae column wh Acec Acd Waer Acec Anhydrde non deal mxure; hs example perm he comparson beween EQ and EQ model. - Exracve dsllaon packng column wh aceone Mehanol Waer non deal mxure; hs example show he dfference beween Maxwell Sephan and Fck formulaon for he mass ransfer. Comparson EQ and EQ model Example parameers The example s a reacve dsllaon where he Acec Anhydrde reac wh Waer o oban 2 moles of Acec Acd. The reacon rae s gven by Marek (956). The column has 5 seve rays wh a feed a 6. The specfcaons feed and operaor condons are he same han Hgler & al. (999). The bnary neracons parameers (Wlson model) are gven by Hgler & al. (999). Smulaons The frs smulaon s he EQ model where he vapor flm hckness s fxed a 0-4 meers and he lqud flm hckness s fxed a 0-5 meers. The correlaon o calculae he nerfacal area s he Zuderweg Mehod. To compare wh EQ model, hs model smulaon was performed usng he Murphee ray effcences : - EQ smulaon wh Murphee effcences are assumed o be.0 - EQ smulaon wh Murphee effcences are predced by correlaon (MacFarland, 972) - EQ smulaon wh Murphee effcences are calculaed from he resuls of he non equlbrum model The correlaon of MacFarland predc effcences rangng from 0.69 o 0.72 for Acec Anhydrde, from 0.67 o0.83 for Waer and from 0.69 o 0.99 for Acec Acd. So, as here are one effcency for a plae, we choose 0.7 for he smulaon. The Murphee effcences calculaed from he resuls of he non equlbrum model are shown n Fg. 3; rangng from 0.54 o.4. Acd Aceque Waer Acec Anhydrde 4 0,5 0,6 0,7 0,8 0,9,,2 Murphee Effcences Fg.3 : Murphee effcences calculaed from he resuls of he non equlbrum model. Ths ndcaes ha he convenonal predcon of Murphee effcences from an emprcal correlaon may no be relable for mulcomponen reacve mxure n hs case. The Acec Acd molar fracon profle s shown n Fg. 4 for he dfferen smulaons (he concluson s he same for he oher consuens). The EQ model profle wh good predcon effcences (here 0.7 by Macarland) s almos smlar. In hs case, he predcon of EQ model s equvalen o he EQ model. An oher smulaon s effeced wh hgher flm hckness. The vapor flm hckness s fxed a 0-3 meers and he lqud flm hckness s fxed a 0-4 meers. Ths mples grea mass ransfer
5 rae. The gradens of he concenraons n he ressance flm are very mporan. The correlaon of MacFarland predc effcences rangng from 0.69 o 0.7 for Acec Anhydrde, from 0.70 o0.78 for Waer and from 0.73 o 0.9 for Acec Acd. The Murphee effcences calculaed from he resuls of he non equlbrum model are rangng from.39 o 0.73 (wh average value 0.2). So, an EQ model smulaon s effeced wh Murphee effcences a 0.2. The resuls are shown n Fg. 5. In hs case he predcon of MacFarland s so far of he EQ model. The EQ model profle wh predcon effcences a 0.2 s almos smlar. In he case wh grea mass ransfer seems o be dffcul o predced he effcences o smulae wh EQ model; he radonal correlaon can no be predced he real effcences of he plaes Plae number EQ Model Eff = EQ Model Eff = 0,7 (Mac Farland) EQ Model el =0-5 ev = 0-4 Plae number EQ Model el = 0-4 ev = 0-5 EQ Model Eff = EQ Model Eff = 0,7 (Mac Farland) EQ Model Eff = 0, , 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 Lqud molar fracon Fgure 4 : Lqud Acec Acd profle Smulaon 5 0 0, 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 Lqud molar fracon Fgure 5 : Lqud Acec Acd profle Smulaon 2 However, he resuls of smulaon 2 wh el = 0-4 and ev = 0-3 are very dfferen from he expermenal resuls of Marvek (956) and smulaon resuls of Hgler & al. (999). The frs smulaon s beer and seems correc; so, hs example shows ha he hckness of he ressance flm s a sensve parameer. Moreover, wh good predcon of Murphee effcences, he predcon of he EQ model smulaon s almos equvalen o he non equlbrum model smulaon. Descrpon wh Fck Formulaon and Maxwell Sephan Formulaon Example parameers Ths example s an exracve dsllaon of an Aceone - Mehanol mxure usng Waer as he solven. The column s a wo hegh random packng column and 0.5 meers for dameers. The flow shee and he feed almenaon are shown n Fg.6. Smulaons Two smulaons are effeced wh he EQ model : wh he Fck formulaon and wh Maxwell Sephan formulaon for he mass ransfer n he hn flms. Vapor flm hckness s fxed a 0-4 meers and he lqud flm hckness s fxed a 0-5 meers. The nerfacal area for he packng s calculaed by Onda correlaon. Feed (mol/s) : Aceone 0.00 Mehanol 0.00 Waer T = Feed 2 (mol/s) : Aceone Mehanol Waer 0.00 T = DL=22.22'mol/s R=0 2 M of random packng Fgure 6 : Spécfcaons for exracve dsllaon
6 Maxwell Sephan bnares dffuson coeffcens D j s calculaed by Fuller correlaon for he vapor and by Wlke-Chang and Vgnes correlaon for he lqud. Dffuson coeffcens of componen n mxure m D m for he Fck formulaon s predced by Blanc's law for he vapor and evaluaed Perkns and Geankopls for he lqud. The wo smulaons resuls are shown n Fgure 7. We can noce a dfference beween he wo laws. Ths s due o he drawback of he Fck law : - he neracons beween Aceone Waer and Mehanol does no ake no accoun - he non dealy of mxure (here UIQUAC daa fom Taylor R. 993) s no consdered wh Fck formulaon Moreover, he dffuson coeffcens are dfferen beween he wo formulaon of mass ransfer. 2,8, Fck Formulaon Maxwell Sephan Formulaon Hegh of Packng (m),4,2 0,8 0,6 Waer Mehanol Aceone 0,4 0, , 0,2 0,3 0,4 0,5 0,6 0,7 0,8 Molar Fracon Fgure 7 : Lqud phase composon profles wh Fck formulaon and Maxwell Sephan formulaon However, he radonal Fck formulaon s correc o predc he composon profle; ndeed he dfference wh Maxwell Sephan s no very mporan. The real Fck formulaon nconvenen s he predcon of he dffuson coeffcens D m whch are more absracs ha Maxwell Sephan bnares dffuson coeffcens D j. 4 concluson We have developed a non equlbrum model for mul componen reacve separaon echnques. Ths model was solved numercally and hen ncluded n he ProSm envronmen. The orgnaly of hs model s he Maxwell Sephan formulaon whch s solved n hs complee formulaon. The non equlbrum model was esed and compared wh he classcal equlbrum model. We can fnd he same resuls wh he EQ model, bu s dffcul o esmae Murphee effcences for a mul componen reacve mxure. EQ model smulaon s effeced wh Fck law and Maxwell Sephan law for he mass ransfer. The classcal Fck formulaon can predc concenraon profle bu hs law s no enough general for non deal mul componen mxure. We are acually developng an expermenal plo sudy n order o deermne he more effcen model.
7 omenclaure c Molar concenraon consuen (mol/m 3 ) c Toal concenraon oal (mol/m 3 ) D Dffuson coeffcen of componen n mxure m (m 2 /s) D m j n x z γ Maxwell Sephan dffuson coeffcen bnares -j (m 2 /s) Molar flux consuen (mol/m 2 /s) Molar flux molar oal (mol/m 2 /s) umber of consuens Molar fracon consuen Space reference (m) Acvy coeffcen consuen Acknowledgemen We are graeful for research suppor provded by ProSm S.A. (France). Helpful dscussons wh Dr Sere Pereygan (ProSm Techncal Manager) are acknowledged. REFERECES - Baur R., Hgler A.P., Taylor R., Krshna R., Comparson of equlbrum sage and nonequlbrum sage models for reacve dsllaon, Chemcal Engneerng Journal, Journal 76, 33-47, Hgler A., Krshna R., Taylor R., onequlbrum cell model for mulcoponen (reacve) separaon processes, AIChE J,Vol.45,, Krshna R., A generalzed flm model for mass ransfer n non deal flud mxure, Chem. Eng. Sc., 32, , Krshna R., Sandar G., A mulcomponen flm model ncorporang an exac marx mehod of soluon o he Maxwell Sephan equaon, AIChE J., 22, , Lee Jn-Ho, Dudukovc M.P., A comparson of he equlbrum and non equlbrum models for a mulcomponen reacve dsllaon, Compuers and Chemcal Engneerng 23, 59-72, MacFarland S. A., '' Predc dsllaon effcency'', Hydrcarbon Processng, -4, July Marek J., Recfcaon wh a chemcal reacon : II Plan recfcaon of a waer-acec acd-acec anhydrde mxure, Coll. Czech. Chem. Commun, 2, 56, Taylor R. & Krshna R., Mulcomponen Mass Transfer, Wley Seres n Chemcal Engneerng, (ew York), Wesselngh J.A., on-equlbrum modellng of dsllaon, Dsllaon and Absopon, Vol., -2, 997
Solution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationMulti-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach
Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationNational Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration
Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED
More informationDiffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation
IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationTranscription: Messenger RNA, mrna, is produced and transported to Ribosomes
Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes
More informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationPolymerization Technology Laboratory Course
Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationNATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours
NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all
More informationLet s treat the problem of the response of a system to an applied external force. Again,
Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem
More informationELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION
THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationJanuary Examinations 2012
Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons
More informationNumerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles
World Academy of Scence, Engneerng and Technology 67 01 Numercal Smulaon of he Dsperson of a Plume of Exhaus Gases from Desel and Perol Engne Vehcles H. ZAHLOUL, and M. MERIEM-BENZIANE Absrac The obecve
More informationA NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION
S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationEcon107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)
Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen
More informationA Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee
A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes
More informationOptimal Operation of the Cyclic Claus Process
17 h European Symposum on Compuer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edors) 7 Elsever B.V. All rghs reserved. 1 Opmal Operaon of he Cyclc Claus Process Assanous Abufares a and Sebasan
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationII. Light is a Ray (Geometrical Optics)
II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:
More informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationP R = P 0. The system is shown on the next figure:
TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples
More informationAnisotropic Behaviors and Its Application on Sheet Metal Stamping Processes
Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More information5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)
5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and
More informationMolecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids
NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,
More informationTime-interval analysis of β decay. V. Horvat and J. C. Hardy
Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae
More informationMOLDI : A Fluid Permeation Model to Calculate the Annulus Composition in Flexible Pipes
Ol & Gas Scence and Technology Rev. IFP, Vol. 57 (2002), No. 2, pp. 177-192 Copyrgh 2002, Édons Technp MOLDI : A Flud Permeaon Model o Calculae he Annulus Composon n Flexble Ppes Z. Benjelloun-Dabagh 1,
More informationNumerical simulation of a solar chimney power plant in the southern region of Iran
Energy Equp. Sys./ Vol. 5/No.4/December 2017/ 431-437 Energy Equpmen and Sysems hp://energyequpsys.u.ac.r www.energyequpsys.com Numercal smulaon of a solar chmney power plan n he souhern regon of Iran
More informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationDEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL
DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA
More informationUnconstrained Gibbs free energy minimization for phase equilibrium calculations in non-reactive systems using an improved Cuckoo Search algorithm
Insuo Tecnologco de Aguascalenes From he SelecedWorks of Adran Bonlla-Percole 2014 Unconsraned Gbbs free energy mnmzaon for phase equlbrum calculaons n non-reacve sysems usng an mproved Cuckoo Search algorhm
More informationM. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria
IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationImplementation of Quantized State Systems in MATLAB/Simulink
SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße
More informationEffect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor
Effec of a Vecor Wall on he Thermal Feld n a SRU Thermal Reacor Chun-Lang Yeh and Tzu-Ch Chen Absrac The effecs of a vecor wall on he hermal feld n a SRU hermal reacor are nvesgaed numercally. The FLUENT
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationWiH Wei He
Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationSingle-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method
10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationChapter 6 Conservation Equations for Multiphase- Multicomponent Flow Through Porous Media
Chaper 6 Conservaon Equaons for Mulphase- Mulcomponen Flow Through Porous Meda The mass conservaon equaons wll appear repeaedly n many dfferen forms when dfferen dsplacemen processes are consdered. The
More informationChapter 2 Linear dynamic analysis of a structural system
Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads
More informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
More informationLecture 9: Dynamic Properties
Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationAdvanced Machine Learning & Perception
Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More information(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function
MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,
More informationIntroduction to. Computer Animation
Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon
More informationReal time processing with low cost uncooled plane array IR camera-application to flash nondestructive
hp://dx.do.org/0.6/qr.000.04 Real me processng wh low cos uncooled plane array IR camera-applcaon o flash nondesrucve evaluaon By Davd MOURAND, Jean-Chrsophe BATSALE L.E.P.T.-ENSAM, UMR 8508 CNRS, Esplanade
More informationFirst-order piecewise-linear dynamic circuits
Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por
More informationExperimental and Numerical Investigation of Temperature Distribution in Room with Displacement Ventilation
Expermenal and Numercal Invesgaon of Temperaure Dsrbuon n Room wh Dsplacemen Venlaon PETER STANKOV, Professor, Deparmen of Hydroaerodynamcs and Hydraulc Machnes, Techncal Unversy of Sofa, Bulgara JORDAN
More informationFI 3103 Quantum Physics
/9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon
More information2/20/2013. EE 101 Midterm 2 Review
//3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance
More informationF-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction
ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or
More informationChapter 5. Circuit Theorems
Chaper 5 Crcu Theorems Source Transformaons eplace a olage source and seres ressor by a curren and parallel ressor Fgure 5.-1 (a) A nondeal olage source. (b) A nondeal curren source. (c) Crcu B-conneced
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationMeasurement of liquid holdup and axial dispersion in trickle bed reactors using radiotracer technique
NUKLEONIKA ;45(4):35 41 ORIGINAL PAPER Measuremen of lqud holdup and axal dsperson n rckle bed reacors usng radoracer echnque Harsh Jaga Pan, Anl Kumar Saroha, Krshna Deo Prasad Ngam Absrac The holdup
More informationSolving Equation [5.61], the helical fiber thickness required to contain the internal pressure is:
5.4.3 eng Analyss of Cylndrcal Pressure Vessels S. T. Peers 001 Ths sofware s provded free for your use wh no guaranee as o s effecveness. I s copyrghed by Process-Research and may no be duplcaed, gven
More informationSampling Procedure of the Sum of two Binary Markov Process Realizations
Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV
More informationHEAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION
EAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION Kazuya Takahash 1, arunor Yoshda 2, Yuzo Tanaka 3, Norko Aoake 1 and Fuln Wang 1 Eghh Inernaonal IBPSA Conference
More informationEnergy Storage Devices
Energy Sorage Deces Objece of Lecure Descrbe he consrucon of a capacor and how charge s sored. Inroduce seeral ypes of capacors Dscuss he elecrcal properes of a capacor The relaonshp beween charge, olage,
More informationOptimal environmental charges under imperfect compliance
ISSN 1 746-7233, England, UK World Journal of Modellng and Smulaon Vol. 4 (28) No. 2, pp. 131-139 Opmal envronmenal charges under mperfec complance Dajn Lu 1, Ya Wang 2 Tazhou Insue of Scence and Technology,
More informationAdvanced time-series analysis (University of Lund, Economic History Department)
Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationCooling of a hot metal forging. , dt dt
Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered
More informationA Simulation Based Optimal Control System For Water Resources
Cy Unversy of New York (CUNY) CUNY Academc Works Inernaonal Conference on Hydronformacs 8--4 A Smulaon Based Opmal Conrol Sysem For Waer Resources Aser acasa Maro Morales-Hernández Plar Brufau Plar García-Navarro
More information2.1 Constitutive Theory
Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +
More informationStochastic Maxwell Equations in Photonic Crystal Modeling and Simulations
Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationAppendix H: Rarefaction and extrapolation of Hill numbers for incidence data
Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs
More informationTHEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that
THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because
More information