Velocity Projection with Upwind Scheme Based on the Discontinuous Galerkin Methods for the Two Phase Flow Problem

Size: px
Start display at page:

Download "Velocity Projection with Upwind Scheme Based on the Discontinuous Galerkin Methods for the Two Phase Flow Problem"

Transcription

1 raoal Joural of Mor Nolar Tory a Applao Publs Ol Ju 5 Rs. p://.srp.org/joural/jma p://x.o.org/.436/jma.5.49 Vloy Projo Up m Bas o Dsouous Galr Mos for To Pas Flo Problm Jagyog Hou Wjg Ya * J C ool of Mamas a ass X a Jaoog Uvrsy X a Ca Cr for Compuaoal Goss X a Jaoog Uvrsy X a Ca Emal: * jgya@mal.xju.u. Rv Mar 5; ap Ju 5; publs 7 Ju 5 Copyrg 5 by auors a f Rsar Publsg. Ts or s ls ur Crav Commos Arbuo raoal Ls (CC BY). p://ravommos.org/lss/by/4./ Absra T up sm s vry mpora umral approxmao of som problms su as ovo oma problm o-pas flo problm a so o. For fraoal flo formulao of o-pas flo problm Paly Dsouous Galr (PDG) mos omb up sm ar usually us o solv pas prssur quao. s as ulss up sm s a o osrao vloy rosruo loal mass bala ao ol xaly. s papr prs a sm of vloy rosruo som H(v) spas osrg up sm oally. Furrmor ffr ays o alula olar offs may av s a sgfa ffs av b vsga by som auors. W propos a algorm o oba a mor ffv a sabl approxmao of offs ur osrao of up sm. yors Vloy Projo Up m Paly Dsouous Galr Mos To Pas Flo Porous Ma. rouo ox of som fls su as molg a smulao of flu flos prolum or grouar rsrvors sus of prosss of smulaous flo of o or mor flu pass a porous mum ar of gra sgfa. s papr osr ass of o-pas flo r flus ar mmsbl. * Corrspog auor. Ho o s papr: Hou J.Y. Ya W.J. a C J. (5) Vloy Projo Up m Bas o Dsouous Galr Mos for To Pas Flo Problm. raoal Joural of Mor Nolar Tory a Applao p://x.o.org/.436/jma.5.49

2 J. Y. Hou al. A larg umbr of mos ar bas o f ffr (FD) f volum (FV) or f lm (FE) mos av b vlop o al o-pas flo problm. As s ll o o mar of umral mos s us up sm s of gra sgfa approxmao of som problms su as ovo oma problm o-pas flo problm a so o. To av sabl umral ompuaos smulao of o-pas flo problm a aura approxmao of flux s o of mos mpora a srabl grs. f us Paly Dsouous Galr (PDG) mos o srz prssur quao l []-[3] bo prssur a saurao quaos ll b srz by PDG mos a a pross of rosruo of vloy s o b o afr prssur quao s solv. [] a avrag oal vloy as pos pross by subsug ps osas of prssur gra a saurao gra o vloy-prssur xprsso rly. Aually su rosru vloy o som lvl blogs o los orr Ravar-Tomas f lm spa. [4] a pos-pross oal vloy s rosru Brzz-Douglas-Mar (BDM) f lm spas. Bu s a gr of polyomal s mor a o a s usg lar approxmao DG mo s o oug o rosru a vloy BDM spa. A mor sabl a aura rosruo as vlop [] vloy rosru from ps lar prssurs oul v blog o frs-orr Ravar-Tomas f lm spa. Hovr all rosruos mo abov osr up sm as basally us srzao of quaos. T propry of loal mass osrvao s rual porous ma flo a raspor problms. T up sm as r ff o loal mass osrvao of rosru vloy. W fou a ulss up sm a paly rms ar us srzao of o-pas flo problm ar osr ogr o vloy rosruo rror of loal mass osrvao ao ra a sasfaory lvl. s papr prs a sm of vloy rosruo som H(v) spas [5] osrg up sm oally. T ffr ays o alula olar offs may av s a sgfa ffs av b vsga by som auors. For approxmao of offs x o us [6] o a a off lm s valua as avrag of up valu o. Ts mprovs sably of umral sm v a xpl sm s us. oras xpl sm srb [] our xpl PDG sm s spal approxmao of offs a o oly g r of xra pals from prssur quao bu also av a robus prforma rogous ma. T rs of arl s orgaz as follos: ao o rouo a oluso v x of s oum o four pars. o s frs par a osss of o subsos rou govrg quaos of o-pas flo problm a orrspog rfa oos ubsos. a. rspvly. T so par o 3 oms four subsos. ubso 3. up avrag approxmaos of offs ar rou. ubsos 3. a 3.3 PDG mos ar us for prssur quao a vloy rosruo s prs rspvly. ubso 3.4 PDG mos ar us for saurao quao. T r par o 4 osss of o subsos. ubsos 4. a 4. rou all possbl projo sms rsp o vloy rosruo a sm ou ay xpl projos. las par o 5 svral umral xampls o msos ar prov.. Problm Mol.. Mamaal Formulao W osr o mmsbl omprssbl flus porous ma a r s o mass rasfr b pass. Varous a alrav mol quaos for o-pas flo problm a b fou rfr [7]. Hr us pas formulao for prmary varabls ar g pas prssur a saurao ( p a ) a abs of gravy a s/sour rm av: ( λ D p λ D p ) + = () p φ + λ fd + ( fu ) = () r oaos a mags of a off a r rlaosps ar f as follos: D s 8

3 J. Y. Hou al. absolu prmably sor a s souous rogous ma; φ os porosy of mum; p s apllary prssur; λ λ a λ ar g og a oal mobly rspvly; f s fraoal flo; a ar gra opraor a vrg opraor rspvly. W ll us Broos-Cory mol [8] rougou s papr som of s offs ar o-lar fuos f blo: p = p θ (3) λ λ ( ) ( ) + θ θ ( ) = (4) µ + 3θ θ = (5) µ λ λ λ = λ + λ f = f λ = λ (6) r = (7) r r r p s ry prssur for g pas o r larg pors ar omplly fll o-g pas; µ a µ ar o-g a g pas vsosy; θ s paramr assoa por sz srbuo; r a r ar rsual saurao. om oaos for ms ar gv blo: Ω s oma; Ω s bouary of oma; s paro of Ω ; s f lm ; s gs of lm ; : = {: all gs } s s of all gs oa ; s s of all ror gs oa. T Equaos () a () ar subj o appropra al a bouary oos o los sysm. Hr gv o fasbl ss of bouary oos: o s Mx-Numa bouary oo as [] ( u λ fd p) u o + = Γ (8) sm λ f D p = g o Γ (9) p N sn = g o Γ () D pd a or s Numa-Drl bouary oo us [9] u = o Γ () pn ( λ ) o u = fd p+ fu = g Γ () p N sn = o Γ (3) r sd = p o Γ (4) r pd u = g o Γ. (5) N pn T ol bouary of porous mum oma Ω s v o r muually sjo pars: flo oflo a ouflo bouars ( Γ Γ o Γ ou ) rspvly. as of Numa-Drl bouary oo Γ pd a Γ sd oupy ouflo bouary Γ pn a Γ sn oupy flo a o-flo bouars su a g N < o flo bouary a g N = o o-flo bouary. as of mx- Numa bouary oo Γ pd oups flo a ouflo bouars Γ pn oups o-flo bouary Γ sm oups flo bouary a Γ sn oups o-flo a ouflo bouars. 9

4 J. Y. Hou al... rfa Coos orr o s barrr ff pomo of o pas flo olar rfa oo suss [] [6] []-[3] ll b rou r. Follog [9] assum a ally fully ar saura oma ( Ω=Ω Ω ) a rfa Γ J b o ffr sas a ol s j from flo par of bouary Γ s Fgur. ao assum a Ω sas oars sa a Ω s f sa. T pross of pomo s srb brfly blo. Frs ol approas maral rfa bu ao pra a bg o aumula. s as oly ar prssur p s ouous o rfa apllary prssur p a saurao ar souous a sasfy: θ p Ω = p p Ω = p = ( r ). T mor a mor ols aumula a rfa a apllary prssur o oars s xs ry prssur of or s ( p Ω p ) ols bg o pra a r f sa. A s m bo p a p ar ouous bu saurao s sll souous a sasfs: p r = ( r r ) θ r. p r r W o a a ral po of saurao a b fou apllary prssur o oars s rass o valu quval o rsol prssur o f s. Ta s ug from p = p av θ * p = ( r r ) + r p. Ts po ll b us o jug r og pas a or ao pra maral rfa. o rfa oos a b rr form blo. For apllary prssur a for g pas saurao p Ω θ * p p p Ω = > * θ θ Ω > * r θ = θ p θ r * ( r r ) r. p r r (6) (7) (8) (9) () Fgur. T rfa (as l) b o subomas ffr ro proprs. 3

5 J. Y. Hou al. Coo () s sam as a srb [] xp a g pas (sa of og pas) s us as saurao varabl. Morovr (9) s oly r for apllary prssur a o for g pas prssur s varabl p s alays ouous problm suss. Nog a f sub-oma Ω as a fr xur a Ω all rlaosp abov a b ra a smlar mar suprsrp a rvrs. 3. Dsr ms 3.. Approxmao of Coffs For approxmao of offs x o us [6]. L o ay offs ag for som propr approxmaos. Frsly rall orgal ay o approxma offs T approa srb [6] s = =. = = 3 ( T ) ( T ) r T os ma ar saurao o g of lm s [6] for mor als. No s x o follog o () () = = 3. (3) r up valu of s avrag o ror g s osr. T quay s all up flux s o rsp o ormal ompo of oal vloy u su a for all + u = + u >. (4) r ormal vor pos from + o. Trougou s papr all offs o lm a g ar alula by up avrag osa a gral avrag osa ar srb (3). 3.. Prssur Approxmao PDG s so apply Paly Dsouous Galr (PDG) mos [4] su as Nosymmr ror Paly Galr (NPG) o prssur Equao (). om oaos for DG mos ar f: + + v : = v + v v : = v v (5) { } [ ] { } [ ] X { L P } v : = v v : = v Ω (6) : = Ω (7) 3

6 J. Y. Hou al. r v ± ar rsros of v o o aja lms ± rspvly. T prssur Equao () srz by PDG ras as follos. + f p X for all v X { λ }[ ] λ D p v D p v + + ΓD + ε + β + + { λ D v } p p [ v] ΓD ΓD p p = λ D v + λ D ΓD + ε λ D vp + p v g v. r r N ΓD ΓD β ΓD [ v] (8) PDG mos ar oly appl o g-pas prssur rm for apllary prssur rm a raoal DG mo up sm s us Vloy Rosruo Afr solvg sr prssur Equao (8) oal vloy ll b rosru los-orr Ravar-Tomas spa ( RT ) frs-orr Ravar-Tomas spa ( RT ) a frs-orr Brzz-Douglas- Mar spa ( BDM ) rspvly rfr o [5] for mor als abou os spas. T ma a of rosruo urr so follos o p [] a ll x o suao a srzao of prssur quao oas a up sm. A propr rosruo of vloy sms from loal mass osrvao la as so follog srpo. Frsly ras varaoal Equao (8) o lm o o pars as follos + + p + u v λ D p v λ D v ε { λ D v } p (9) = + + p β u v = { λ D p }[ v] λ D [ v] + p [ v]. (3) Combg (9) a (3) s asly s a loal mass s osrv ( ) = + = ( + ) u v u v u v q q v (3) r q a q ar s a sour rms ar zros r. Nog a f g blogs o bo a Γ D o rg a s of Equaos (9) a (3) p + s qual o + ± ( p p ) r a sg ± s rm by ro of for xampl sg s posv s our ormal vor rsp o. oly usg (9) a (3) as gr of from for som H(v) spas oal vloy ll b oba as som appropra projos or rpolaos s spas. orr o av a propr rpolao RT RT a BDM spas soul spfy a s of gr of from (DOF) for s H(v) spas a a orrspog s of bass fuos. f l v b ay osa polyomal spa of gr zro P (9) ll vas a (3) ll bom RT spa s DOF s gral of ormal ompo of vloy o a g. Corrspogly s of bass fuos for RT o rfr lm s ˆ ϕ = ( x a) = 3 (3) ˆ r ˆ s ara of rfr lm ˆ a a s o of s vrs. 3

7 J. Y. Hou al. L v a v b ay fuos spa of polyomal of gr o P (9) a (3) bom DOFs for RT. T orrspog bass fuos for RT spa o rfr lms ar 6x 8xy 8x 8xy x + 6x ˆ ϕ ˆ = ϕ = 6x + y 8xy 8y 4 6xy 4y x + 8y x 4 x x+ ˆ ˆ 8 xy 8 x ϕ3 = ϕ4 = 8xy y 8y 8xy y 8xy 6y x + 4x + y 6xy 8x 6 ˆ ϕ ˆ 5 = ϕ 6 = 8y 4y y 8xy 6y 6x 8xy 6x 8x 6xy 8x ˆ ϕ ˆ 7 = ϕ8 =. 8y 6xy 8y 6y 8xy 6y L v b ay fuos P polyomal spa us bass fuos of BDM a b oba a smlar mar xp a (9) s o us. All DOFs for BDM ar jus f o gs of lm so oly (3) s us o rm bass fuos. T orrspog bass fuos for BDM ar x 6x ˆ ϕ ˆ = ϕ = 6x+ 4y 4 6 6y x 4x 6x ˆ ϕ ˆ 3 = ϕ4 = y 6y 6y x 6x+ y 6 ˆ ϕ ˆ 5 = ϕ6 =. 4y 6y s o a o of DOFs for BDM a RT spas s o uqu for xampl alf-g gral of ormal ompos of vloy s also avalabl a applabl aurao Approxmao T spaal srzao of saurao quao s smlar o a of prssur quao gv (8). T ffuso rm of saurao quao s srz by PDG mos a avv rm s srz by a raoal DG mo usg up sm. A Eulr sm m s us. T saurao Equao () qupp Mx-Numa bouary oos (8)-() oul b r as: + f X for all v X φ p v λ f D v + + p + p + + λ f D [ v] ε λ f D v + + u v+ [ v] β Γ sm φ = v + fu v f u v g v u v. [ ] ΓsN N ΓsM T varaoal form rms of Numa-Drl bouary oos ()-(5) ras: (33) 33

8 J. Y. Hou al. X v X + f for all φ p v λ f D v + + p + + λ f D v ΓD p ε λ f D v v β ΓD Γ D φ = v + ( fu ) v ( fu ) [ v] p gnv ε λ f D v r + rv β ΓN Γ D ΓD p ε λ f D v J + v J β Γ Γ [ ] ΓD [ ] r J( ) s rfa oo of saurao srb (). 4. Fasbl Projos of Dsr rags 4.. DDG Mos om Or Projos T abbrvao DDG mas a DG mos ar us for bo prssur a saurao quaos. For a lar omparso umral xprms ls all possbl a fasbl projos blo. Frsly o RT () (or BDM () ) as vloy spa proj o RT (or BDM) spa by (9) a (3). oly RT () (or BDM () ) mas projo o RT (or BDM) spa osrg up sm bu ou paly rm Trly for RT (or up sm p + λ + λ (35) u v = D p v+ D v + + u v = { λ D p }[ v] λ D [ v]. (36) p BDM ) mas projo osrg paly rm bu ou [ ] (34) + + p u v = λ D p v+ λ D v { λ D v } + ε p + (37) A las for RT (or + + u v = { λ D p }[ v] λ D [ v] + p β + [ v]. p BDM ) mas projo ou osrg bo paly rm a (38) 34

9 J. Y. Hou al. up sm p + λ + λ (39) u v = D p v+ D v + + u v = { λ D p }[ v] λ D [ v]. (4) As a rouo for all DDG mos vloy rv by projo RT (or prsrvs loal mass osrvao propry bs ll so umral xampls. 4.. DDG Mo ou Expl Projos p BDM ) [] vloy s us rly as ombao of gra of soluos a offs as follos + + p u = { λ D p } λ D (4) p + = λ + λ u D p D r avrag of oal vloy s us ror gs. Aloug os us ay projos xplly vlos osru from (4) a (4) ar som of mpl projos o RT spa. T vloy rv from (4) a (4) s los o vloy projo RT spa s osru by (39) a (4). Bu r valu a lm s ffr. Furrmor DDG mo usg vloy rosruo prs s subso as ra ffrs oras o a propos [] ar rfl o asps blo: ) T varaoal form of saurao quao os orpora ay aoal pals from prssur quao. ) T approxmaos of offs ar oally ffr. 5. Numral Exampls s so prs som ompur xprms o xam propos mos o o msoal spas. Bo o bouary oos ffr yps ar us xamao of all mos. ss a osr splam of o-g pas by g pas s smlar o so all quarr-fv spo problm rou []. s 3 osr splam of g pas by o-g pas s us o smula barrr ff [9]. T omas us xprms ar squar ( ) o orrs b u off a for ms us souous problm a small squar ffr ro propry s fx s oma s Fgur (a) a Fgur (b). a s us Nosymmr ror Paly Galr (NPG) mo paly paramrs ε = = a β =. orr o prv osllaos a slop lmr prour srb [5] s us. f osrg mx-numa yp bouary (8)-(9) for saurao quao follog al a bouary oos ar us: (4) = =. (43) =.9 o Γ Γ (44) sm g = m s o Γ Γ Γ (45) N sn o ou 6 r 3.45 Pa o pd p = Γ Γ (46) 35

10 J. Y. Hou al. (a) Fgur. Mss us xprms. (a) quarr-fv spo ms us omogous mum; (b) quarr- fv spo ms us souous ma. 6 r.4 Pa o pd ou p = Γ Γ (47) u = m s o Γ Γ. (48) pn o W Numa-Drl yp bouary ()-(3) s us for saurao quao follog al a bouary oos ar osr: = = (49) u u = Γ Γ (5) m s o sn m s o sn o = Γ Γ (5) = o Γ Γ (5) r sd ou u = Γ Γ (53).5 m s o pn u = Γ Γ (54) m s o pn o 5 r. Pa o pd ou. p = Γ Γ (55) T paramrs lug ro a flu proprs us smulao ar summarz Tabl. 5.. Ts s xam propry of loal mass osrvao la. For s purpos solv so-all quarr-fv spo problm o a omogous mum a umral loal mass of rosru vloy. All projo mos suss abov ll b us a ompar. T oma us xprm s squar ( ) o orrs b u off s Fgur (a). T al a bouary oos (43)-(48) s us. T paramrs rsp o ro propry a Broos-Cory mol ar ls Tabl Ts. Fgur (a) spo a lf boom s flo bouary Γ ouflo bouary Γ ou s loa a rg op orr rs of bouary s oflo bouary Γ o. To ma sur a ar fro says s oma fal m s s o T = 6 s. W us a osa m sp a rao of m sp o spa sp s squar s abou 4.5. W us DDG o o DDG mo ou (b) 36

11 J. Y. Hou al. Tabl. Paramrs us umral smulaos. porosy φ =.4 D = 5.4 ; Ts prmably [m ] [ ] vsosy[g/(ms)] 3 µ =. µ =. 4 rsual saurao =.5 r =. r Broos-Cory 3 p = 3 Pa θ = 3 Ts porosy φ =. D = ; prmably [m ] [ ] vsosy[g/(ms)]. 3 µ = µ = 5. 4 rsual saurao =.5 =. r r Broos-Cory 3 p = 5 Pa θ = Ts 3 porosy φ =. φ =. prmably [m ] D = [ ;] D = [ ;] vsosy[g/(ms)] µ =. µ =. 3 rsual saurao = = = = r r r r Broos-Cory 4 p = Pa 4.5 Pa p = θ = θ = xpl projos. r s o s a sour rms xa loal mass s zro o a lms a s u = r s ouar u ormal vor o. Tus a asly f rrors of loal mass osrvao ur vor orms l a l ar rspvly max u a u. T rrors of loal mass osrvao a sl ms ar ls Tabl a Tabl Ts s s so umral soluos solv by our sm usg projo RT a omogous ma. For rsuls usg projo BDM a RT y ar smlar usg RT so ar om. T ms us s s sam as prvous s.t al a bouary oos (43)-(48) ar us s s. To ma sur a ar fro says s oma fal m s s o T = 8 s. A osa m sp s us a rao of m sp o spa sp s squar s abou 4.5. T paramrs of ro propry a Broos-Cory mol ar ls Tabl Ts. T oours of g pas saurao omogous mum a sl ms ar prs Fgur Ts 3 las s xam our sm a souous ma. W assum a oma us r s ally fully ar saura a rfas b o ffr sas s Fgur 4. Ω s f + sa a Ω s oars sa so ol-rapp pomo ll appar o rfas Γ J s Fgur 4. * + * T ral po (9) s.44 a ol ll pra rfa Γ J. T ms (56) 37

12 J. Y. Hou al. Tabl. Numral rrors of loal mass osrvao s a ms = 4 s a = 8 s. = 4 s = 8 s l l l l DDG RT ( ) RT RT RT BDM ( ) BDM BDM BDM RT ( ) RT RT RT Tabl 3. Numral rrors of loal mass bala s a ms = s a = 6 s. = s = 6 s l l l l DDG RT ( ) RT RT RT BDM ( ) BDM BDM BDM RT ( ) RT RT RT

13 J. Y. Hou al. Fgur 3. T oours of g pas saurao omogous mum a sl ms Ts. Fgur 4. Dsouous quarr-fv spo problm. us s s s Fgur (b). T al a bouary oos (49)-(55) ar us s s. T al a bouary oos (49)-(55) ar us s s. To ma sur a ar fro says s oma fal m s s o T = s. A osa m sp s us a rao of m sp o spa sp s squar s abou 4.5. T paramrs of ro propry a Broos-Cory mol ar ls Tabl Ts 3. W ol flos from oars sa o f sa jo of ol from flo bouary Γ mor a mor ol approas a aumulas a fro of rfa of f sa. W aumulao ras a ral po a s apllary prssur a oars s of rfa s grar a a f s aumula ol ll pra rfa a r f sa ara. By oras 39

14 J. Y. Hou al. Fgur 5. T oours of g pas saurao souous ma a sl ms Ts 3. rvrs ro ol mmaly pra rfa a s ol-rapp pomo ll o app f ol flos from f sa o oars sa. T oours of g pas saurao souous ma a sl ms ar prs Fgur Coluso T vlos rosru from projos RT BDM a RT ar mu br o prsrv loal mass osrvao propry a ors. Ta s vloy rosruo projo a osrs bo up sm a paly rm a bs prsrv loal mass osrvao propry. T approxmao of off (3) s vry ssal o sably of all DDG mos. sa of (3) f approxmao of off () s us varaoal form of saurao quao as o orpora aoal pals from prssur quao; ors sm ll b usabl. Fug T or s suppor by Naoal Naural Fouao of Ca (No.3788 a No.4467). Rfrs [] Er A. Mozolvs. a u L. () Dsouous Galr Approxmao of To-Pas Flos Hro- 4

15 J. Y. Hou al. gous Porous Ma Dsouous Capllary Prssurs. Compur Mos Appl Mas a Egrg p://x.o.org/.6/j.ma.9..4 [] lbr W. a Rvèr B. (6) Aapv mulaos of To-Pas Flo by Dsouous Galr Mos. Compur Mos Appl Mas a Egrg p://x.o.org/.6/j.ma [3] Mozolvs. a u L. (3) Numral mulao of To-Pas mmsbl omprssbl Flos Hrogous Porous Ma Capllary Barrrs. Joural of Compuaoal a Appl Mamas 4-7. p://x.o.org/.6/j.am [4] Basa P. a Rvèr B. (3) uprovrg a H(v) Projo for Dsouous Galr Mos. raoal Joural for Numral Mos Flus p://x.o.org/./fl.56 [5] Brzz F. a For M. (99) Mx a ybr f lm mos. prgr N Yor. p://x.o.org/.7/ [6] Nayagum D. äfr G. a Mosé R. (4) Mollg To-Pas omprssbl Flo Porous Ma Usg Mx Hybr a Dsouous F Elms. Compuaoal Goss p://x.o.org/.3/b:comg [7] C Z.X. Hua G.R. a Ma Y.L. (6) Compuaoal Mos for Mulpas Flos Porous Ma. AM Plalpa. p://x.o.org/.37/ [8] Broos R.H. a Cory A.T. (964) Hyraul Proprs of Porous Ma. Colorao a Uvrsy For Colls. [9] Fuč R. a Myša J. () Mx-Hybr F Elm Mo for Mollg To-Pas Flo Porous Ma. Joural of Ma-for-usry [] Ho H. a Froozaba A. (8) Numral Molg of To-Pas Flo Hrogous Prmabl Ma Dffr Capllary Prssurs. Avas War Rsours p://x.o.org/.6/j.avars [] Eéry G. Eymar R. a Ml A. (6) Numral Approxmao of a To-Pas Flo Problm a Porous Mum Dsouous Capllary Fors. AM Joural o Numral Aalyss p://x.o.org/.37/46936 [] Caès C. (9) F Volum m for To-Pas Flo Hrogous Porous Ma volvg Capllary Prssur Dsous. EAM: Mamaal Mollg a Numral Aalyss p://x.o.org/.5/ma/93 [3] Caès C. Gallouë T. a Porra A. (9) To-Pas Flos volvg Capllary Barrrs Hrogous Porous Ma. rfas a Fr Bouars p://x.o.org/.47/fb/ [4] Rvèr B. (8) Dsouous Galr Mos for olvg Ellp a Parabol Equaos: Tory a mplmao. AM Plalpa. p://x.o.org/.37/ [5] Cav G. a Jaffré J. (986) Mamaal Mols a F Elms for Rsrvor mulao. us Mamas a s Applaos. Nor-Holla Amsram. 4

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

American International Journal of Research in Science, Technology, Engineering & Mathematics

American International Journal of Research in Science, Technology, Engineering & Mathematics Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization

Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization Dsg o Fuzzy Slg-Mo Corollr or Chaos Syhrozao Chao-L Kuo Chg-Sho Shh Cha-Hug L a Shu-Pg Shh 3 No. 49 Jug-Hua Roa Hs-Shh Towshp Taa Couy 744 Tawa R.O.C. Dparm o Elral Egrg Far-Eas Uvrsy lkuo@.u.u.w Lu-Chu

More information

Almost unbiased exponential estimator for the finite population mean

Almost unbiased exponential estimator for the finite population mean Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du

More information

Multi-fluid magnetohydrodynamics in the solar atmosphere

Multi-fluid magnetohydrodynamics in the solar atmosphere Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally

More information

A New Clustering Validity Index for Fuzzy C Means Algorithm Based on Measure Of Disparity.

A New Clustering Validity Index for Fuzzy C Means Algorithm Based on Measure Of Disparity. Iraoal Joural of Ava Rsar Compur Er & Toloy (IJARCET) Volum Issu, Spmbr A Nw Clusr Valy Ix for Fuzzy C Mas Alorm Bas o Masur Of Dspary ADEKUNE YA, AAO OD, EBIESUA SEUN, SARUMI JERRY, AINAM JEAN-PAU,,,

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR) W LOOWY (LOMR) RVRWLK PKWY ROK HLL, S PPROX. LOOWY W BS LOO (LOMR) lient nformation 4 SS- RM:4 V : PV Pipe V OU: PV Pipe JB SS- RM: V OU: PV Pipe RU R " PV Pipe @. LO SPS OL SSBL GRL ORMO: S OS: M BS LOO

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Chain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE

Chain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE d Fr Flw OULE IC YE YE OLY-EEL YE Oubard wh d s (d ) s usd fr fr flw vya. Usually w srads ar usd h qupm. d s basd sadard rllr ha wh sd rllrs salld xdd ps. hr ar hr yps f bas ha: (1) ubl ph rllr ha wh sadard

More information

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r

More information

EE 232 Lightwave Devices. Photodiodes

EE 232 Lightwave Devices. Photodiodes EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

Pressure Distribution of Horizontal Wells in a Layered Reservoir with Simultaneous Gas Cap and Bottom Water Drives

Pressure Distribution of Horizontal Wells in a Layered Reservoir with Simultaneous Gas Cap and Bottom Water Drives Rsarh apr ra Joural of Egrg Rsarh (JER) 0 ra Joural of Egrg Rsarh (JER) -ISS : 30-087 p-iss : 30-0936 Volu-03, Issu-, pp--53 www.ajr.org Op ss rssur srbuo of Horoal Wlls a ayr Rsrvor wh Sulaous Gas Cap

More information

CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS

CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

Dynamic Response of Electromagnetic Launcher s Rail Subjected to Cosine Pressure

Dynamic Response of Electromagnetic Launcher s Rail Subjected to Cosine Pressure .s.org/s Copur a Iforao S Vol. No. 5; Spbr Dya spos of Elroag auhr s al Subj o Cos Prssur W u Shool of Ss Yasha Uvrsy Qhuagao 66 Cha E-al: lu96@hoal.o gog Zhag Corrspog auhor Shool of Ss Yasha Uvrsy Qhuagao

More information

Almost Unbiased Exponential Estimator for the Finite Population Mean

Almost Unbiased Exponential Estimator for the Finite Population Mean Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors

More information

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri- sh Wdsdy 7 gn mult- tú- st Frst Intrt thng X-áud m. ns ní- m-sr-cór- Ps. -qu Ptr - m- Sál- vum m * usqu 1 d fc á-rum sp- m-sr-t- ó- num Gló- r- Fí- l- Sp-rí- : quó-n- m ntr-vé-runt á- n-mm c * m- quó-n-

More information

A New Multi-objective Inventory Model under Stochastic Conditions with Considering Perishable Costs

A New Multi-objective Inventory Model under Stochastic Conditions with Considering Perishable Costs Ausrala Joural of Bas a Appl Ss, : -, SSN 99-878 A Nw Mul-obv vory Mol ur Sohas Coos wh Cosrg rshabl Coss Abolfazl Mrzazah Dparm of usral Egrg, slam Aza Uvrsy, Kara Brah, Kara, ra Absra: hs papr prss a

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

Survival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008

Survival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008 Survval alyss for Raomz Clcal rals II Cox Rgrsso a ab osascs sraca Fbruary 6, 8 la Irouco o proporoal azar mol H aral lkloo Comparg wo groups umrcal xampl Comparso w log-rak s mol xp z + + k k z Ursag

More information

How delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics

How delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL

SAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"

More information

SPIN AND CHARGE EFFECTS IN ONE AND TWO DIMENSIONAL SYSTEMS WITH SPIN-ORBIT INTERACTION. A Numerical Perspective. Catalina Marinescu

SPIN AND CHARGE EFFECTS IN ONE AND TWO DIMENSIONAL SYSTEMS WITH SPIN-ORBIT INTERACTION. A Numerical Perspective. Catalina Marinescu SPIN AND CHARG FFCTS IN ON AND TWO DIMNSIONAL SYSTMS WITH SPIN-ORBIT INTRACTION A Numral Prspv Caala Marsu Clmso Uvrsy Collaboraor: C. Pasu Moa (Uvrsy of Orada) Work suppord by DO D-FG-R45897 OUTLIN Msosop

More information

Special Curves of 4D Galilean Space

Special Curves of 4D Galilean Space Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky

More information

Chapter 5 Transmission Lines

Chapter 5 Transmission Lines ap 5 ao 5- aacc of ao ao l: a o cou ca cu o uppo a M av c M o qua-m o. Fo M o a H M H a M a µ M. cu a M av av ff caacc. A M av popaa o ff lcc a paal flco a paal ao ll occu. A ob follo ul. ll la: p a β

More information

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo

More information

CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i

CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A. Ήχος Πα. to os se e e na aș te e e slă ă ă vi i i i i CATAVASII LA NAȘTEREA DOMNULUI DUMNEZEU ȘI MÂNTUITORULUI NOSTRU, IISUS HRISTOS. CÂNTAREA I-A Ήχος α H ris to os s n ș t slă ă ă vi i i i i ți'l Hris to o os di in c ru u uri, în tâm pi i n ți i'l Hris

More information

, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».

, k fftw ' et i 7.  W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M». VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the

More information

LAUREL HILL VERMONT APRIL 2014

LAUREL HILL VERMONT APRIL 2014 MY Y / OVR O OP MP R OP Y R Y K R U M R PK R R OM R P U ROU P O R RMP OO R MP MOU R RR UR R OU V OR V M O OR R OP R R R OO JOV Y V R V OO Y OUR PKY U V O VY MP O R R UR R R O O V R R R R RO Y P Y QU RU

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

Fractal diffusion retrospective problems

Fractal diffusion retrospective problems Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv

More information

DESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı

DESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı EIGN OF OBEE-BE ONOLLE FO LINE NEUL YEM M. N. lpala arlakçı parm of ompur cc abul Blg Uvry olapr 3444 abul urky -mal: aparlakc@blg.u.r brac: I papr problm of obrvr-ba a-fback corollr g for lar ural ym

More information

Root behavior in fall and spring planted roses...

Root behavior in fall and spring planted roses... Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Cherrywood House, Cherrywood Road, Loughlinstown, Dublin 18

Cherrywood House, Cherrywood Road, Loughlinstown, Dublin 18 86 rro Sq uh, Dub 2, D02 YE10, Ir. 01-676 2711 gvob. FOR SALE BY PRIVATE TREATY rr Hous, rr, ughso, Dub 18 > > F pr o-sor, pr o-sor pro rsc xg o pprox 374 sq../4,026 sq. f. > > Fbuous grs h ovr s r of

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

Design and Analysis of Algorithms (Autumn 2017)

Design and Analysis of Algorithms (Autumn 2017) Din an Analyi o Alorim (Auumn 2017) Exri 3 Soluion 1. Sor pa Ain om poiiv an naiv o o ar o rap own low, o a Bllman-For in a or pa. Simula ir alorim a ru prolm o a layr DAG ( li), or on a an riv rom rurrn.

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Power Spectrum Estimation of Stochastic Stationary Signals

Power Spectrum Estimation of Stochastic Stationary Signals ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:

More information

Algorithms to Solve Singularly Perturbed Volterra Integral Equations

Algorithms to Solve Singularly Perturbed Volterra Integral Equations Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura

More information

Wireless & Hybrid Fire Solutions

Wireless & Hybrid Fire Solutions ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2 Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23 BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu

More information

Acogemos, Señor, Tu Mensaje De Amor/ Embrace And Echo Your Word

Acogemos, Señor, Tu Mensaje De Amor/ Embrace And Echo Your Word 2 Pi Acogmos, Sñor, Tu Mnsj Amor/ Embrc And Echo r Word 1997 Los Angs Rigio Educon ongss dicd with dmiron r. E Rndr ESTROFAS/VERSES: Sopr/Bjo ontrl/ Tr.. Tn Tn Tn Tn Mn Mn Mn Mn INTRO: Upt Lt ( = c. 114)

More information

Emigration The movement of individuals out of an area The population decreases

Emigration The movement of individuals out of an area The population decreases Nm Clss D C 5 Puls S 5 1 Hw Puls Gw (s 119 123) Ts s fs ss us sb ul. I ls sbs fs ff ul sz xls w xl w ls w. Css f Puls ( 119) 1. W fu m ss f ul?. G sbu. Gw b. Ds. A suu 2. W s ul s sbu? I s b b ul. 3. A

More information

EX. WOODS 7.37± ACRES (320,826± SQ. FT.) BM# EX. WOODS UNKNOWN RISER 685

EX. WOODS 7.37± ACRES (320,826± SQ. FT.) BM# EX. WOODS UNKNOWN RISER 685 Y RUUR - - Ø R. ( P=. ( " P=. ( " P=. ( " P=. RY -B - Ø R. ( P=. ( P=. ( " P=.. O OUR RY OPY R.. #-. YR PR. R.= PROPRY RO = PROPRY RO OU R L POL R P O BOLL L PPRO LOO O Y R R. L., P. (OU UL O R L POL LOO

More information

k of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)

k of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19) TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal

More information

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009 Schedule H-6.lb SOUTHWSTRN LCTRIC POWR COMPANY SCHDUL H-6.1b NUCLAR UNIT OUTAG DATA For the Test Year nded March 31, 29 This schedule is not applicable to SVvPCO. 5 Schedule H-6.1 c SOUTHWSTRN LCTRIC POWR

More information

On the Hubbard-Stratonovich Transformation for Interacting Bosons

On the Hubbard-Stratonovich Transformation for Interacting Bosons O h ubbrd-sroovh Trsformo for Irg osos Mr R Zrbur ff Fbrury 8 8 ubbrd-sroovh for frmos: rmdr osos r dffr! Rdom mrs: hyrbol S rsformo md rgorous osus for rg bosos /8 Wyl grou symmry L : G GL V b rrso of

More information

Integrated Optical Waveguides

Integrated Optical Waveguides Su Opls Faha Raa Cll Uvs Chap 8 Ia Opal Wavus 7 Dl Slab Wavus 7 Iu: A va f ff a pal wavus a us f a u lh a hp Th s bas pal wavu s a slab wavus shw blw Th suu s uf h - Lh s u s h b al al fl a h -la fas Cla

More information

Geometrical optics. Textbook: Born and Wolf (chapters 3-5) Overview:

Geometrical optics. Textbook: Born and Wolf (chapters 3-5) Overview: Gomal ops Txbook: Bo a Wol aps -5 Ovvw: Elomag pla wavs om maxwll's quaos. T Ekoal quao a s vao ops a o wavlg. Rao ll's law lo Toal al lo T psm Dspso T ls Imagg as a pojv asomao. Opal ssms a ABCD max.

More information

A Review of Dynamic Models Used in Simulation of Gear Transmissions

A Review of Dynamic Models Used in Simulation of Gear Transmissions ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols

More information

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No xhibit 2-9/3/15 Invie Filing Pge 1841 f Pge 366 Dket. 44498 F u v 7? u ' 1 L ffi s xs L. s 91 S'.e q ; t w W yn S. s t = p '1 F? 5! 4 ` p V -', {} f6 3 j v > ; gl. li -. " F LL tfi = g us J 3 y 4 @" V)

More information

NAME: SOLUTIONS EEE 203 HW 1

NAME: SOLUTIONS EEE 203 HW 1 NAME: SOLUIONS EEE W Problm. Cosir sigal os grap is so blo. Sc folloig sigals: -, -, R, r R os rflcio opraio a os sif la opraio b. - - R - Problm. Dscrib folloig sigals i rms of lmar fcios,,r, a comp a.

More information

Upper Bound For Matrix Operators On Some Sequence Spaces

Upper Bound For Matrix Operators On Some Sequence Spaces Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

Speed of light c = m/s. x n e a x d x = 1. 2 n+1 a n π a. He Li Ne Na Ar K Ni 58.

Speed of light c = m/s. x n e a x d x = 1. 2 n+1 a n π a. He Li Ne Na Ar K Ni 58. Physical Chemistry II Test Name: KEY CHEM 464 Spring 18 Chapters 7-11 Average = 1. / 16 6 questions worth a total of 16 points Planck's constant h = 6.63 1-34 J s Speed of light c = 3. 1 8 m/s ħ = h π

More information

1K21 LED GR N +33V 604R VR? 1K0 -33V -33V 0R0 MUTE SWTH? JA? T1 T2 RL? +33V 100R A17 CB? 1N N RB? 2K0 QBI? OU T JE182 4K75 RB? 1N914 D?

1K21 LED GR N +33V 604R VR? 1K0 -33V -33V 0R0 MUTE SWTH? JA? T1 T2 RL? +33V 100R A17 CB? 1N N RB? 2K0 QBI? OU T JE182 4K75 RB? 1N914 D? L P.O. O X 0, N L R. PROROUH, ONRIO N KJ Y PHO N (0) FX (0) 0 WWW.RYSON. ate : Size : 000 File : OVRLL SHMI.Schoc Sheet : 0 of 0 Rev : rawn : 0.0 0K K 0K K 0K0 0K0 0K0 0K0 0K0 00K R K0 R K 0R??? 00N M?

More information

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3 - - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

Role of diagonal tension crack in size effect of shear strength of deep beams

Role of diagonal tension crack in size effect of shear strength of deep beams Fu M of Co Co Suu - A Fu M of Co - B. H. O,.( Ko Co Iu, Sou, ISBN 978-89-578-8-8 o of o o k z ff of of p m Y. Tk & T. Smomu Nok Uy of Tooy, N, Jp M. W Uym A Co. L., C, Jp ABSTACT: To fy ff of k popo o

More information

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION . l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Mat e h a m t c i a lmo e il of a r T a v n er e s e S ar Defor a m t o i k S e h l T ory 2. M T T E si ce e m t n Mo e d sl. 30 www. jier.

Mat e h a m t c i a lmo e il of a r T a v n er e s e S ar Defor a m t o i k S e h l T ory 2. M T T E si ce e m t n Mo e d sl. 30 www. jier. rol Jl grg r g J SS : 9-8 Vol- - Oobr l olg Trr fo T Sll Ty Sr OH ZO OH TU br Tr- ol y ly rlr o ploy o r r r rbo l rf opo ll r ro oprg oo T o oo r r by g rlop b f o r pl ll g Hlo prpl rgy T ry l po r o

More information

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.

More information

Linear Systems Analysis in the Time Domain

Linear Systems Analysis in the Time Domain Liar Sysms Aalysis i h Tim Domai Firs Ordr Sysms di vl = L, vr = Ri, d di L + Ri = () d R x= i, x& = x+ ( ) L L X() s I() s = = = U() s E() s Ls+ R R L s + R u () = () =, i() = L i () = R R Firs Ordr Sysms

More information

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11, Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of

More information

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING

IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING Joural of Rlal ad asal uds; I (Pr: 097-80, (Ol:9- ol., Issu (0: - IPUAIO UIG RGRIO IAOR FOR IAIG POPUAIO A I WO-PHA APIG ardra gh hakur, Kalpaa adav ad harad Pahak r for ahmaal s (, Baashal Uvrs, Rajasha,

More information

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

In 1991 Fermat s Last Theorem Has Been Proved

In 1991 Fermat s Last Theorem Has Been Proved I 99 Frmat s Last Thorm Has B Provd Chu-Xua Jag P.O.Box 94Bg 00854Cha Jcxua00@s.com;cxxxx@6.com bstract I 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

Posterior analysis of the compound truncated Weibull under different loss functions for censored data.

Posterior analysis of the compound truncated Weibull under different loss functions for censored data. INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg

More information