International Journal of Industrial Engineering Computations

Size: px
Start display at page:

Download "International Journal of Industrial Engineering Computations"

Transcription

1 Iteatoal Joal of Idtal Egeeg Coptato (200) Cotet lt avalable at GowgScece Iteatoal Joal of Idtal Egeeg Coptato hoepage: A epcal tdy of Iaa egoal apot g obt data evelopet aaly Ead Roghaa a * ad A Foogh b a Depatet of Idtal Egeeg, K. N. Too Uvety of Techology, Teha, Ia b Ilac Azad Uvety of Naagh Bach, Naagh Ia A R T I C L E I N F O Atcle htoy: Receved Feb 200 Receved eved fo 20 Mach 200 Accepted Apl 200 Avalable ole 7 Apl 200 Keywod: Robt Optzato, DEA, Effcecy Apot Tapotato Ecooc Scale A B S T R A C T Data Evelopet Aaly (DEA) ha bee oe of the ot potat tool o eag the elatve effcecy of dffeet la t ch a tapotato yte g teal, apot, etc. I th tdy, we pefo a epcal aaly o Iaa apot baed o DEA ethod to eae the effcece of vao apot. Oe of the pay e o ay tadtoal DEA ethod that the data ae alot alway cotaated wth oe. We e a DEA ethod whch cold hadle the cetaty aocated wth pt ad otpt data. The elt of th copeheve tdy how that ot of the actve ale ae pactcally effcet ad the goveet cold gfcatly ceae the effcece of the apot by ettg ew eglato ad le. 200 Gowg Scece Ltd. All ght eeved.. Itodcto DEA ha becoe oe of the ot potat techqe o eag the elatve effcecy of dffeet t epecally whe the t do ot geeate ay poft (W et al. 200; Pla et al. 200). Thee ae lteally gfcat be of evdece whe poft ot the pay goal of a gop of ogazato ch a goveetal chool, Apot tat, etc. Theefoe, oe ay wh to et oe taget to eae the elatve effcece of thee t ad oto the taget g DEA techqe. A tadtoal ethod to eae the elatve effcecy the dect pleetato of DEA ethod. The ethod e oe pt ad otpt ad eae the dal vaable aocated wth all pt/otpt. Sak (200) beleved to be the ft oe who e DEA fo 44 apot Uted State fo a fve yea peod ad povde good bechak fo otog ad povg the weak ale. Mat ad Roa (200) e DEA to eae the pefoace of 37 ao Spah apot g thee pt of the be of eployee, the captal ad the fxed aet. They alo code the be of flght, the be of paege ad the et coe a the otpt of the odel. They alo pefo a etvty aaly g two appoache of cotat et to cale ad vaable et to cale (Bake, 984). Feade ad Pacheco (2002) aalyze the capacty of 35 llo apot faclte Bazl g DEA ethod ode to fd the effcecy of povdg paege evce. L ad Hog (2006) e DEA fo eag the elatve effcecy of ao teatoal apot. I the DEA pleetato, they e fve pt of the be of eployee, the ladg bad legth, the pakg ze, the ale tato ad the teal pace. Ug the thee otpt of the be of paege, the cago ad be of tp, they pleet DEA ad extact the akg of vao ale fo gop. Teg, et al. (2008) pefo a copeheve tdy o the pefoace evalato of ao teatoal apot the wold. Wag et al. (2004) pefo la tdy o Tawa apot. Bao (2008) alo e DEA fo dffeet apot Ageta ad aalyze the elt ecooc c. Pel et al. (2003) exae the pefoace of the Eopea ale g DEA ad epot that the ale ae otly effcet. La et al. (2009) aalyze dffeet deo of opeatoal effcece ao Aa Pacfc apot thogh DEA odel whch ae * Coepodg atho. Tel./fax: E-al addee: a.foogh@gal.co (A. Foogh), 200 Gowg Scece Ltd. All ght eeved. do: /.ec

2 66 ed fo exteal acoecooc ad pce facto ad they epot that techcal, cale ad x effcece ae hgh aog the ao Aa Pacfc apot. DEA alo ca be ed a a effcet tool fo eag the total facto podctvty (TFP). Yohda ad Foto (2004) e DEA fo eag the elatve effcecy of Japaee apot ad epot TFP g edogeo-weght TFP ethod ad dc whethe thee ay ove-vetet Japaee egoal apot. Thee ae alo othe vey baed techqe fo evalatg the pefoace of dffeet apot. Yeh ad Ko (2003), fo tace, e fzzy lt-attbte deco akg techqe to evalate paege evce qalty of 4 ao Aa-Pacfc teatoal apot g dffeet vey. The pay coce o the ethod the extece of oe o the data ad th cold pact the elt of the elatve effcece. Tadtoal DEA oally folated a lea pogag poble ad t ca be olved fo optalty g a dect pleetato of Splex ethod. The ate of cetaty ofte ot clea ad thee ot ch foato abot the behavo of the oe. Oe ple apto ay ofte hold wth cetaty that the data ha yetc kow dtbto. Th the bac apto of obt optzato techqe developed by ay cett. See Beta ad S (2004) to lea oe abot cetaty ad obt optzato bt oe potat e the effect of cetaty o the otpt elt o a egla lea pogag poble. Be-Tal ad Neovk how that a all chage o oe bechak lea pogag poble cold geeate oe elt whch ae ethe feable o optal. They alo popoe a ew techqe baed o ecet obt optzato ethodologe whch cold e the otpt elt fo the feablty by log oe of the optalty. The obt ethod of Be- Tal ad Neovk baed o havg a cotepat whch apped de the feable ego. Theefoe, the obt techqe chage the tcte of a oday lea poble to a olea poble. Beta ad S (2004) popoe a ew obt optzato techqe whee the tcte of the ew obt poble the ae a the ogal oe, e.g. the cae of DEA, the obt optzato odel folated a a lea pogag poble. Note that the obt olto fo Beta ad S' ethod ae ally le coevatve tha Beta ethod. Sadad ad Oa (2009, 200) ae beleved to be the ft who e the dea of obt optzato o the cotext of DEA. They exae dffeet obt optzato techqe o tadtoal DEA ad epot oe pog elt o vao electcty ad telecocato eglate. I th pape, we pefo a epcal aaly o RDEA fo Iaa egoal apot ad dc the elt dffeet tato. Th pape ogazed a follow. We ft peet the poble tateet of the RDEA. The pleetato of o RDEA peeted the ext ecto ad we caeflly aalyze the elt g DEA ad RDEA ad dc the dffeece g oe tattcal tet. 2. Poble tateet Let x be the pt fo a deco t wth =,, ad ad v be the dal vaable aocated wth x ad folated a follow, y be the otpt wth,, ad =,,. Let y, epectvely. The cotat to cale DEA odel ax bect to z = = = v x y v x y..., v 0, =,..., () Model () the ba of tadtoal DEA ad t olved te to detee the elatve effcece of vao t. Howeve, ce () olea tcte, Chale et al. (983) gget a ple odfcato of the obectve fcto to plfy the tcte of the elted poble a follow,

3 67 ax bect to z = = = v x v y y x. =.., v 0, =,..., Note that the ft cotat alo becoe lea g a ple aplato. Poble (2) ha bee wdely ed fo the pat thee decade ad the elt ae cooly accepted a a tool to eae the elatve effcecy of dffeet t. Howeve, whe thee cetaty wth the pt ad the otpt, oe ay e dffeet techqe to ake e that a all chage o pt/otpt data doe ot chage the otpt akg. 3. Robt optzato Code a lea pogag poble of the followg fo, c w bect to Aw = b, (3) w 0, whee w R the vecto of kow vaable, A R ad bect to cetaty. Theefoe (3) ca be efolated a follow, b R ad (2) c R. Let A ad c ae c ~ w ~ bect to A w = b, (4) w 0, ~ whee ~ deote the cetaty wth A = [ a ~ ]. The obt optzato appoach peeted by Beta ad S (2004) covet (4) to the followg poble, c w bect to a w Γ p q p + q y p, q w R w 0,, J ea y y 0,,,, (5) whee Γ detee the cetaty aocated wth each pt paaete. Whe Γ = 0 thee o cetaty. A Γ ceae, the cetaty alo ceae. The e alo the vecto of ceta vale. The DEA odel ogally developed by Chae et al. (983) a follow,

4 68 (CCR) ax z = ~ y ~ y bect to. v ~ x = = v ~ x. =., v 0, =,..., whee ~ x ad ~ y ae the ceta pt ad otpt whch ae aocated wth x ad y, epectvely. I (6) each ceta paaete le a teval of cetaty. Applyg (5) to (6) yeld, (6) (RCCR)ax Z bect to = v x. =, y. z Γ. p. q J. 0, y. y Γ p q 0, =,..., = J (7),, 0,, 0. v Poble (7) lea pogag poble whee e a vecto of ceta vale, Γ the bdget of cetaty, p ad q ae ew dy o-egatve vaable aocated wth ceta paaete (6). A we explaed eale, thee ae two advatage aocated wth Beta ad S' obt odel. Ft, the obt DEA tll lea the tcte althogh we eed to add oe addtoal axlay vaable. Secod, Γ adt the cetaty aocated wth all paaete. Next ecto, we exae two odel (2) ad (7) ad copae the elt g oe tattcal techqe. 4. Expeetal Relt I th ecto, we peet the pleetato of the popoed RDEA. I Ia, all doetc ad teatoal apot ae aaged by the goveet ad pvatzato ha ot pleeted to th dty yet. Althogh oe the aageet of all pat of the apot ae pvatzed bt the actal pvatzato of the apot ha ot appeaed. Thee ae ay eao behd the goveet deco ad oe of the ot potat oe the key eleet the ecty. Fo the pat thee decade, the Iaa apot have eve had ay hgh-ack expeece. Althogh ecty play a key ole o apot dty, havg a effcet apot alo a goal fo the goveet. The goveet bde the apot dty gfcatly by povdg low pce fel ad othe evce. Howeve, the ew eglato ha eqeted all Iaa dte to ceae the TFP gfcatly. I fact, the ew eglato ple to ceae the gowth doetc podct by eght pecet pe yea ad oe thd of th gowth t coe fo the ceae podctvty. Oe pactcal way to ceae the podctvty to ceae the effcecy of apot dty. I Ia, thee ae ove 57 dffeet apot bt ot of the ae alot actve ad thee ae vey few egla flght. Theefoe, we decded to chooe 2 actve apot to povde a eagfl copao. Table how the pt ad the otpt ed fo o DEA pleetato.

5 69 Table The pt ad the otpt of RDEA odel Ttle Decpto Mea Std Nbe of Eployee S of the people who wok the apot Ipt Teal aea Aea of teal Legth of way Sface of the aphalt oad Otpt Nbe of oveet Flght of doetc & teatoal Nbe of Paege paege Aot of Cago Cago We ft e the egla DEA odel whee thee o cetaty aocated wth all pt paaete. A al, thee ae oe t wth the effcecy of oe ad we e the elaxato ethod gve by Adeo (2004) to ak the ot effcet t. The elt dcate that eghtee t e the teal pace vey effcetly. The othe obevato that oe of effcet apot tat cold e the bad legth optally. Fo tace, Shaz apot cold edce t bad legth p to 4490 ete. I te of the otpt paaete, aog thee otpt, ay ceae o the be of flght cold gfcatly affect the effcece of all o-podctve apot. Next, we e the RDEA odel to tdy the effect of the cetaty o akg of dffeet apot. Table 2 aze the elt of the pleetato of o cp ad obt DEA. The ft col of the table todce the ae of dffeet apot; the ecod col how the effcece of vao t. A we ca obeve Mehabad, Ia Khoe ad Ahvaz ae thee bet pefoe aog all 2 t. Note that Mehabad wa epoble fo all doetc ad teatoal flght ad dg the pat few yea, all teatoal flght fo Teha have bee exected fo Ia Khoe apot. I ode to ak the ft thee apot, we have ed the Adeo ad Peteo ethod (2004). The elt of o pleetato ae deotated the thd col of table 2 whee Mehabad how bette pefoace aog two othe bet pefoe. I ode to ee the effect of cetaty o the effcece of the 2 t, we have ed the popoed RDEA ethod. The elt ae exaed two dffeet ceao of e=0.05 ad e=0.. Whe the be of ceta paaete lage, oe ay e the followg, Γ = + Φ ( e ) ξ (8) whee ξ the be of ceta paaete ad Φ the CDF of a Gaa dtbto. Howeve, fo the cae of o popoed ethod ce thee ae oly 3 pt ad otpt ceta paaete we chooe Γ = 3 a ecoeded by Sadad ad Oa (2009). The foth ad the ffth col of the table (2) aze the elt of the effcece of all t. Obvoly, a the level of cetaty ceae, all t effcece deceae. Fo tace, Ahvaz apot kow a oe of the ot actve t cp odel bt o obt odel the effcecy edced to abot 82% whe the level of cetaty fo all pt paaete 0.. Oe potat pot of th eeach to tdy the effect of the oveall akg betwee the oal ad obt DEA ethod. We have et p a ll hypothe of havg the ae akg fo both ethod ad pefo a tattcal tet baed o Speaa Peao (Matz (98)) a follow, 2 6 d = d peaa =, (9) 2 ( )

6 70 d whee the be of t ad calclated a a dffeece betwee the akg of two ethod. Ug o the elt of table (2) yeld d peaa = whch ea, tattcally, thee o gfcat dffeece betwee the DEA ad RDEA akg. Table 2 The effcece of dffeet apot t ( DMU) AIRPORT CCR CCR A&P CCR e=0.05 CCR e=0. Mehabad Ia Khoe Ahvaz Mahad Shaz Ifaha Raht Bad Badaaba Keahah Kea Goga Adabl Tabz Zaheda Laeta Boheh Ooeh Sa Yazd Abada Oe of the ot potat e o the pleetato of DEA to tdy the effect of a patcla pt o otpt o oveall effcece of each t. I othe wod, oe gle pt ay have gfcat flece of a t bt th facto ay ot ecealy play a potat ole o othe t. We have DEA ethod by deletg a gle pt o otpt each te. Sce thee ae thee pt, thee otpt ad 2 t, we eed to 26 b-poble. We have alo tded the effect of all x the pt ad the otpt o effcece of the effcece. Oe potat obevato that, aog x facto, oly cago wa the ot flecg paaete fo Mehabad t whch cold edce the effcecy fo oe to whch a gfcat

7 edcto of The flece of the othe facto wa ot a gfcat a the cago oe ad ot epoted hee. 5. Coclo I th pape, we have exaed data evelopet aaly fo ao Iaa apot to eae the elatve effcece of vao apot. The elt of o popoed ethod dcate that thee ay oly a few apot g effcetly ad ot of the Iaa apot ae ecoocally effcet. The two ao apot, Ia Khoe ad Mehabad, located ea the captal cty of Ia ae deteed to be the ot effcet t. Howeve, the elatve effcece of ot of the othe apot located dffeet ego of Ia ae le tha 50 pecet. Sce the pt/otpt data ed th tdy ay be bect to cetaty, we have ed a obt techqe to eae the elatve effcece. The tattcal tet dcate that the elt of akg of the obt optzato ethod ae the ae a the cp odel. 7 Ackowledget The atho wold lke to thak the offcal of the Iaa apot copay ad the tapotato eeach ttte of ty of oad ad tapotato of Ia fo povdg the eceay foato eeded fo th poect. Alo, the atho wold lke to thak the aoyo efeee fo the coet o the eale veo of th wok. Refeece Bake, R.D., Chae, A., Coope, W.W. (984). Soe odel fo the etato of techcal ad cale effcece Data Evelopet Aaly. Maageet Scece, 30, Adeo, T. (2004). Data Evelopet Aaly, Ecyclopeda of Ifoato Syte, Bao, C. P. (2008). Apot Ageta: Techcal effcecy the cotext of a ecooc c, Joal of A Tapot Maageet, 4, Be-Tal, A., Neovk, A. (999). Robt olto of ceta lea poga, Opeato Reeach Lette, 25 (), 3. Beta, D., Pachaaova, D., S, M. (2004). Robt lea optzato de geeal o. Opeato Reeach Lette, 32, Beta, D., S, M. (2004). The pce of obte. Opeato Reeach, 52 (), Chae, A., Coope, W.W., Rhode, E. (978). Meag the effcecy of deco akg t. Eopea Joal of Opeatoal Reeach, 2, Feade, E., Pacheco, R.R. (2002). Effcet e of apot capacty, Tapotato Reeach Pat A: Polcy ad Pactce, 36(3), L, L.C., Hog, C.H. (2006). Opeatoal pefoace evalato of teatoal ao apot: A applcato of data evelopet aaly, Joal of A Tapotato Maageet, 2, La, S.W., Low, J.M.W., Tag, L.C. (2009). Opeatoal effcece aco Aa Pacfc apot, Tapotato Reeach Pat E: Logtc ad Tapotato Revew, 45(4), Mat, J.C., Roa, C. (200). A applcato of DEA to eae the effcecy of Spah apot, Joal of A Tapotato Maageet, 7, Matz. J.S. (98). Dtbto-Fee Stattcal Method, Chapa & Hall. ISBN Pel, E., Nkap, P., Retveld, P. (2003). Ieffcece ad cale ecooe of Eopea apot opeato, Tapotato Reeach Pat E: Logtc ad Tapotato Revew, 39(5), Pla, M., Detotto, C. & Paba, A. (200). A vetgato to the elatohp betwee ze ad effcecy of the Itala hoptalty ecto: A wdow DEA appoach, 204(), Sadad, S.J., Oa, H. (2008). Data evelopet aaly wth ceta data: A applcato fo Iaa electcty dtbto copae, Eegy Polcy 36, Sadad, S.J., Oa, H. (2009). A boottapped obt data evelopet aaly odel fo effcecy etatg of telecocato copae Ia, Telecocato Polcy, I Pe. Sak, J. (2000). A aaly of the opeatoal effcecy of ao apot the Uted State, Joal of Opeato Maageet 8,

8 72 Teg, K. J., Ho, L.., L, Y. (2008). A tdy o the pefoace evalato of ao teatoal apot the wold. Joal of Modelg Maageet 3,7-8. Wag, R.T., Ho, C. T., Feg, C. M.,Yag, Y. K. (2004). A copaatve aaly of the opeatoal pefoace of Tawa ao apot, Joal of A Tapot Maageet 0, W, T-H., Che, M-S, Yeh, J-Y. (200). Meag the pefoace of polce foce Tawa g data evelopet aaly. Evalato ad Poga Plag, 33(3), Yeh, C. H., Ko, Y. L. (2003). Evalatg paege evce of Aa-Pacfc teatoal apot, Tapotato Reeach Pat E: Logtc ad Tapotato Revew, 39(), Yohda, Y., Foto, H. (2004). Japaee-apot bechakg wth DEA ad edogeo-weght TFP ethod: tetg the ctc of ove-vetet Japaee egoal apot, Tapotato Reeach pat E 40,

A note on A New Approach for the Selection of Advanced Manufacturing Technologies: Data Envelopment Analysis with Double Frontiers

A note on A New Approach for the Selection of Advanced Manufacturing Technologies: Data Envelopment Analysis with Double Frontiers A te A New Appach f the Select f Advaced Mafactg Techlge: Data Evelpet Aal wth Dble Fte He Azz Depatet f Appled Matheatc Paabad Mgha Bach Ilac Azad Uvet Paabad Mgha Ia hazz@apga.ac. Recetl g the data evelpet

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach [Type text] [Type text] [Type text] ISSN : 0974-7435 Volue 0 Iue 7 BoTechology 204 A Ida Joual FULL PAPER BTAIJ, 0(7), 204 [773-779] Supe-effcecy feablty ad zeo data DEA: A alteatve appoach Wag Q, Guo

More information

Management Science Letters

Management Science Letters }} Manageent Scence Lette 2 (202) 93-00 Content lt avalable at GowngScence Manageent Scence Lette hoepage: www.gowngscence.co/l A obt AHP-DEA ethod fo eang the elatve effcenc: An applcaton of apot ndt

More information

Chapter 2: Descriptive Statistics

Chapter 2: Descriptive Statistics Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate

More information

Enhanced Russell measure in fuzzy DEA

Enhanced Russell measure in fuzzy DEA 140 It. J. Data Aaly Techque ad Statege, Vol. 2, No. 2, 2010 Ehaced Ruell eaue fuzzy DEA Meqag Wag* School of Maageet, Guzhou Uvety, Guyag 550025, PR Cha Fax: +86 851 6926767 E-al: wagq@al.utc.edu.c *Coepodg

More information

University of Pavia, Pavia, Italy. North Andover MA 01845, USA

University of Pavia, Pavia, Italy. North Andover MA 01845, USA Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *

More information

Generalized Super Efficiency Model for Ranking Efficient Decision Making Units in Data Envelopment Analysis

Generalized Super Efficiency Model for Ranking Efficient Decision Making Units in Data Envelopment Analysis Autala Joual of Bac ad Appled Scece, 5(12): 2952-2960, 2011 ISSN 1991-8178 Geealzed Supe Effcecy Model fo Rakg Effcet Deco Makg Ut Data Evelopet Aaly 1 M. Fallah Jeloda, 2 G.R. Jahahahloo, 2 F. Hoezadeh

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, See A, OF HE ROMANIAN ACADEMY Volue 9, Nube 3/8,. NONDIFFERENIABLE MAHEMAICAL PROGRAMS. OPIMALIY AND HIGHER-ORDER DUALIY RESULS Vale PREDA Uvety

More information

The Geometric Proof of the Hecke Conjecture

The Geometric Proof of the Hecke Conjecture The Geometc Poof of the Hecke Cojectue Kada Sh Depatmet of Mathematc Zhejag Ocea Uvety Zhouha Cty 6 Zhejag Povce Cha Atact Begg fom the eoluto of Dchlet fucto ug the e poduct fomula of two fte-dmeoal vecto

More information

On Eigenvalues of Nonlinear Operator Pencils with Many Parameters

On Eigenvalues of Nonlinear Operator Pencils with Many Parameters Ope Scece Joual of Matheatc ad Applcato 5; 3(4): 96- Publhed ole Jue 5 (http://wwwopececeoleco/oual/oa) O Egevalue of Nolea Opeato Pecl wth May Paaete Rakhhada Dhabaadeh Guay Salaova Depatet of Fuctoal

More information

Chapter #2 EEE State Space Analysis and Controller Design

Chapter #2 EEE State Space Analysis and Controller Design Chpte EEE8- Chpte # EEE8- Stte Spce Al d Cotolle Deg Itodcto to tte pce Obevblt/Cotollblt Modle ede: D D Go - d.go@cl.c.k /4 Chpte EEE8-. Itodcto Ae tht we hve th ode te: f, ', '',.... Ve dffclt to td

More information

Cross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis

Cross Efficiency of Decision Making Units with the Negative Data in Data Envelopment Analysis Pceedg f the 202 Iteatal Cfeece Idutal Egeeg ad Opeat Maageet Itabul, Tuey, July 3 6, 202 C Effcecy f Dec Mag Ut wth the Negatve Data Data Evelpet Aaly Ghae Thd Depatet f Matheatc Ilac Azad Uvety - Cetal

More information

WORKING PAPER 2012/ Centralized resource reduction and target setting under DEA control

WORKING PAPER 2012/ Centralized resource reduction and target setting under DEA control WORKING PAPER 202/ Cetalzed eouce educto ad taget ettg ude DEA cotol Adel Hata-Mab, Pe J. Agell Louva School of Maageet Fahad Hoezadeh Lotf, Koba Ghola, Zaha Ghele Beg Ilac Azad Uvety, LOUVAIN SCHOOL OF

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

Born-Oppenheimer Approximation. Kaito Takahashi

Born-Oppenheimer Approximation. Kaito Takahashi o-oppehee ppoato Kato Takahah toc Ut Fo quatu yte uch a ecto ad olecule t eae to ue ut that ft the=tomc UNT Ue a of ecto (ot kg) Ue chage of ecto (ot coulob) Ue hba fo agula oetu (ot kg - ) Ue 4pe 0 fo

More information

= y and Normed Linear Spaces

= y and Normed Linear Spaces 304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads

More information

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,

More information

Sensorless A.C. Drive with Vector Controlled Synchronous Motor

Sensorless A.C. Drive with Vector Controlled Synchronous Motor Seole A.C. Dve wth Vecto Cotolle Sychoo Moto Ořej Fše VŠB-echcal Uvety of Otava, Faclty of Electcal Egeeg a Ifomatc, Deatmet of Powe Electoc a Electcal Dve, 17.ltoa 15, 78 33 Otava-Poba, Czech eblc oej.fe@vb.cz

More information

ˆ SSE SSE q SST R SST R q R R q R R q

ˆ SSE SSE q SST R SST R q R R q R R q Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE

More information

Fairing of Parametric Quintic Splines

Fairing of Parametric Quintic Splines ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}

More information

χ be any function of X and Y then

χ be any function of X and Y then We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,

More information

REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION

REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The

More information

Harmonic Curvatures in Lorentzian Space

Harmonic Curvatures in Lorentzian Space BULLETIN of the Bull Malaya Math Sc Soc Secod See 7-79 MALAYSIAN MATEMATICAL SCIENCES SOCIETY amoc Cuvatue Loetza Space NEJAT EKMEKÇI ILMI ACISALIOĞLU AND KĀZIM İLARSLAN Aaa Uvety Faculty of Scece Depatmet

More information

FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES

FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES Joual of Appled Matheatcs ad Coputatoal Mechacs 7, 6(), 59-7 www.ac.pcz.pl p-issn 99-9965 DOI:.75/jac.7..3 e-issn 353-588 FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL

More information

An Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment Analysis

An Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment Analysis Aeca Joual of Appled Sceces 8 (): 92-96, 20 ISSN 546-9239 200 Scece Publcatos A Ehaced Russell Measue of Supe-Effcecy fo Rakg Effcet Uts Data Evelopet Aalyss,2 Al Ashaf,,3 Az B Jaafa,,4 La Soo Lee ad,4

More information

Semiparametric Estimation and Inference in Multinomial Choice Models. Rafic Fahs, Scott Cardell and Ron Mittelhammer AAEA Annual Conference

Semiparametric Estimation and Inference in Multinomial Choice Models. Rafic Fahs, Scott Cardell and Ron Mittelhammer AAEA Annual Conference Sepaaetc Etato ad Ifeece Mltoal Choce Model By Rafc Fah, Scott Cadell ad Ro Mttelhae AAEA Aal Cofeece Abtact The ppoe of th pape to copoate epaaetc alteatve to a lkelhood etato ad feece the cotet of odeed

More information

Overview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition

Overview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition ylcal aplace Soltos ebay 6 9 aplace Eqato Soltos ylcal Geoety ay aetto Mechacal Egeeg 5B Sea Egeeg Aalyss ebay 6 9 Ovevew evew last class Speposto soltos tocto to aal cooates Atoal soltos of aplace s eqato

More information

Simple Linear Regression Analysis

Simple Linear Regression Analysis LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such

More information

Distribution of Geometrically Weighted Sum of Bernoulli Random Variables

Distribution of Geometrically Weighted Sum of Bernoulli Random Variables Appled Mathematc, 0,, 8-86 do:046/am095 Publhed Ole Novembe 0 (http://wwwscrpog/oual/am) Dtbuto of Geometcally Weghted Sum of Beoull Radom Vaable Abtact Deepeh Bhat, Phazamle Kgo, Ragaath Naayaachaya Ratthall

More information

Spectral Problems of Two-Parameter System of Operators

Spectral Problems of Two-Parameter System of Operators Pue ad Appled Matheatc Joual 5; 4(4-: 33-37 Publhed ole Augut, 5 (http://wwwcecepublhggoupco//pa do: 648/pa5447 ISSN: 36-979 (Pt; ISSN: 36-98 (Ole Spectal Poble of Two-Paaete Syte of Opeato Rahhada Dhabaadeh

More information

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4

Reaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4 CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.

More information

Consider two masses m 1 at x = x 1 and m 2 at x 2.

Consider two masses m 1 at x = x 1 and m 2 at x 2. Chapte 09 Syste of Patcles Cete of ass: The cete of ass of a body o a syste of bodes s the pot that oes as f all of the ass ae cocetated thee ad all exteal foces ae appled thee. Note that HRW uses co but

More information

A PAIR OF HIGHER ORDER SYMMETRIC NONDIFFERENTIABLE MULTIOBJECTIVE MINI-MAXMIXED PROGRAMMING PROBLEMS

A PAIR OF HIGHER ORDER SYMMETRIC NONDIFFERENTIABLE MULTIOBJECTIVE MINI-MAXMIXED PROGRAMMING PROBLEMS Iteatoal Joal of Cote Scece ad Cocato Vol. 3, No., Jaa-Je 0,. 9-5 A PAIR OF HIGHER ORDER SYMMERIC NONDIFFERENIABLE MULIOBJECIVE MINI-MAXMIXED PROGRAMMING PROBLEMS Aa Ka ath ad Gaat Dev Deatet of Matheatcs,

More information

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof

The Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,

More information

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1 Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9

More information

XII. Addition of many identical spins

XII. Addition of many identical spins XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.

More information

Lecture 10: Condensed matter systems

Lecture 10: Condensed matter systems Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato

More information

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot

Motion and Flow II. Structure from Motion. Passive Navigation and Structure from Motion. rot Moto ad Flow II Sce fom Moto Passve Navgato ad Sce fom Moto = + t, w F = zˆ t ( zˆ ( ([ ] =? hesystemmoveswth a gd moto wth aslat oal velocty t = ( U, V, W ad atoalvelocty w = ( α, β, γ. Scee pots R =

More information

ABSTRACT The strength and

ABSTRACT The strength and VOL NO Mach 0 ARPN Joal of Sciece ad Techology 0-0 All ight eeed ISSN -77 http://wwwejoalofcieceog oeig Radi of RM Biay ode O PViocha JSBhlla BSBa Feozep ollege of Egieeig ad Techology Feozep Pjab Idia

More information

Journal of Agricultural Science Vol. 2, No. 4; December 2010

Journal of Agricultural Science Vol. 2, No. 4; December 2010 www.ccseet.og/jas Joual of Agcultual Scece Vol., o. 4; Decebe Study o the Collaboatve ad Iteactve Developet of the Pay Idusty ad the Tetay Idusty: Epcal Aalyss of the Exaple of Dujagya Cty Fuhu Ya (Coespodg

More information

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle

Consumer theory. A. The preference ordering B. The feasible set C. The consumption decision. A. The preference ordering. Consumption bundle Thomas Soesso Mcoecoomcs Lecte Cosme theoy A. The efeece odeg B. The feasble set C. The cosmto decso A. The efeece odeg Cosmto bdle x ( 2 x, x,... x ) x Assmtos: Comleteess 2 Tastvty 3 Reflexvty 4 No-satato

More information

Chapter Newton-Raphson Method of Solving Simultaneous Nonlinear Equations

Chapter Newton-Raphson Method of Solving Simultaneous Nonlinear Equations Chapter 7 Newto-Rapho Method o Solg Smltaeo Nolear Eqato Ater readg th chapter o hold be able to: dere the Newto-Rapho method ormla or mltaeo olear eqato deelop the algorthm o the Newto-Rapho method or

More information

Exponential Generating Functions - J. T. Butler

Exponential Generating Functions - J. T. Butler Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle

More information

SYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations

SYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations SYSTEMS OF NON-LINEAR EQUATIONS Itoduto Gaphal Method Cloe Method Ope Method Polomal Root Stem o Multvaale Equato Chapte Stem o No-Lea Equato /. Itoduto Polem volvg o-lea equato egeeg lude optmato olvg

More information

VIII Dynamics of Systems of Particles

VIII Dynamics of Systems of Particles VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:

More information

Inverse DEA Model with Fuzzy Data for Output Estimation

Inverse DEA Model with Fuzzy Data for Output Estimation Aaabe e at www.. Iaa Ja Optat 2200 388-4 Iaa Ja Optat Iee DEA Mde wt F Data Otpt Etat A Mad Rad a Rea Dea a Faad Heade Lt b a Depatet Mateatc Iac Aad Uet Maedea Bac Ia b Depatet Mateatc Iac Aad Uet Scece

More information

The use of supply chain DEA models in operations management: A survey

The use of supply chain DEA models in operations management: A survey MRA Much eoal Rec Achve The ue of upply cha A oel opeato aageet: A uvey Geoge Halko a Nckolao Tzeee a Stavo Koutz Uvety of Thealy epatet of cooc ue Ole at http://pa.ub.u-ueche.e/3846/ MRA ape No. 3846

More information

Relations for Moments of Kumaraswami Power Function Distribution Based on Ordered Random Variables and a Characterization

Relations for Moments of Kumaraswami Power Function Distribution Based on Ordered Random Variables and a Characterization Relato fo Moet of Kuaawa Powe Fucto Dtbuto Baed o Odeed Rado Vaable ad a Chaactezato M. J. S. Kha, Sude Kua, Aay Kua Depatet of Stattc ad Opeato Reeach, Algah Mul Uvety, Alagh, Ida. Depatet of Appled Stattc,

More information

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1

CS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1 CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that

More information

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,

More information

Module Title: Business Mathematics and Statistics 2

Module Title: Business Mathematics and Statistics 2 CORK INSTITUTE OF TECHNOLOGY INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ Semeste Eamatos 009/00 Module Ttle: Busess Mathematcs ad Statstcs Module Code: STAT 6003 School: School of Busess ogamme Ttle: Bachelo of

More information

Improved Parameter Estimation in Rayleigh Model

Improved Parameter Estimation in Rayleigh Model etodološ zvez, Vol. 3, No., 6, 63-74 Impoved Paamete Etmato Raylegh odel Smal ahd Abtact I th pape we decbe ad peet eult o the paamete pot etmato fo the cale ad thehold paamete of the Raylegh dtbuto. Fve

More information

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions Global Joual o Scece Fote Reeach atheatc ad Deco Scece Volue Iue Veo Te : Double Bld ee Reewed Iteatoal Reeach Joual ublhe: Global Joual Ic SA Ole ISSN: 49-466 & t ISSN: 975-5896 Soe Itegal etag Bothogoal

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

ASYMPTOTICS OF THE GENERALIZED STATISTICS FOR TESTING THE HYPOTHESIS UNDER RANDOM CENSORING

ASYMPTOTICS OF THE GENERALIZED STATISTICS FOR TESTING THE HYPOTHESIS UNDER RANDOM CENSORING IJRRAS 3 () Novembe www.apape.com/volume/vol3iue/ijrras_3.pdf ASYMPOICS OF HE GENERALIZE SAISICS FOR ESING HE HYPOHESIS UNER RANOM CENSORING A.A. Abduhukuov & N.S. Numuhamedova Natoal Uvety of Uzbekta

More information

Solutions of Schrödinger Equation with Generalized Inverted Hyperbolic Potential

Solutions of Schrödinger Equation with Generalized Inverted Hyperbolic Potential Solto of Schödge Eqato wth Geealzed Ieted Hypebolc Potetal Akpa N.Ikot*,Oladjoye A.Awoga, Lo E.Akpabo ad Beedct I.Ita Theoetcal Phyc gop, Depatmet of Phyc,Uety of Uyo,Ngea. Theoetcal Qatm chemty gop,depatmet

More information

Exam-style practice: A Level

Exam-style practice: A Level Exa-tye practce: A Leve a Let X dete the dtrbut ae ad X dete the dtrbut eae The dee the rad varabe Y X X j j The expected vaue Y : E( Y) EX X j j EX EX j j EX E X 7 The varace : Var( Y) VarX VarX j j Var(

More information

b. There appears to be a positive relationship between X and Y; that is, as X increases, so does Y.

b. There appears to be a positive relationship between X and Y; that is, as X increases, so does Y. .46. a. The frst varable (X) s the frst umber the par ad s plotted o the horzotal axs, whle the secod varable (Y) s the secod umber the par ad s plotted o the vertcal axs. The scatterplot s show the fgure

More information

Mining Fuzzy Multidimensional Association Rules Using Fuzzy Decision Tree Induction Approach*

Mining Fuzzy Multidimensional Association Rules Using Fuzzy Decision Tree Induction Approach* 60 IJCNS) Iteatoal Joal of Copte a Netwo Secty, Vol., No. 2, Novebe 2009 Mg Fzzy Mlteoal ocato Rle Ug Fzzy eco Tee Icto ppoac* Rolly Ita Ovla Yety Ylaa 2, ea Haoo 3 epatet of Ifoatc Egeeg, Peta Cta Uvety,

More information

Question 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2)

Question 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2) TELE4353 Moble a atellte Commucato ystems Tutoal 1 (week 3-4 4 Questo 1 ove that fo a hexagoal geomety, the co-chael euse ato s gve by: Q (3 N Whee N + j + j 1/ 1 Typcal Cellula ystem j cells up cells

More information

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method) Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto

More information

Efficiency Measurements in Multi-activity Data Envelopment Analysis with Shared Inputs: An Application to Farmers Organizations in Taiwan

Efficiency Measurements in Multi-activity Data Envelopment Analysis with Shared Inputs: An Application to Farmers Organizations in Taiwan Effcec Meaeet Mt-actt Data Eeopet Aa wth Shaed pt: A Appcato to Fae Ogazato Tawa Po-Ch Che Dept. of teatoa Be Chg Ha Uet Hch Tawa R.O.C. Shh-H H Depatet of Agcta Ecooc Natoa Tawa Uet Tape Tawa R.O.C. Chg-Cheg

More information

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles. Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth

More information

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1 gal Recovery - Pro.. Cova - Exam 06/0/6 - P pag. PROBEM Data ad Note Appled orce F rt cae: tep ple ecod cae: rectaglar ple wth drato p = 5m Pezoelectrc orce eor A q =0pC/N orce-to-charge covero C = 500pF

More information

Iterative Optimization of Spatial Solar Cell: Performance and Technology

Iterative Optimization of Spatial Solar Cell: Performance and Technology Sold State Pheoea Vols. 97-98 (4) pp 19-114 (4) Tas Tech Publcatos, Swtzelad oual do:1.48/www.scetfc.et/ssp.97-98.19 Ctato (to be seted by the publshe) Copyght by Tas Tech Publcatos Iteatve Optzato of

More information

Shabnam Razavyan 1* ; Ghasem Tohidi 2

Shabnam Razavyan 1* ; Ghasem Tohidi 2 J. Id. Eg. It., 7(5), 8-4, Fall 0 ISSN: 735-570 IAU, Sth Teha Bach Shaba Razava ; Ghae Thd Atat Pfe, Det. f Matheatc, Ilac Azad Uvet, Sth Teha Bach, Teha-Ia Atat Pfe, Det. f Matheatc, Ilac Azad Uvet, Cetal

More information

rad / sec min rev 60sec. 2* rad / sec s

rad / sec min rev 60sec. 2* rad / sec s EE 559, Exa 2, Spig 26, D. McCalley, 75 iute allowed. Cloed Book, Cloed Note, Calculato Peitted, No Couicatio Device. (6 pt) Coide a.5 MW, 69 v, 5 Hz, 75 p DFG wid eegy yt. he paaete o the geeato ae give

More information

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures. Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Quasi-Rational Canonical Forms of a Matrix over a Number Field

Quasi-Rational Canonical Forms of a Matrix over a Number Field Avace Lea Algeba & Matx Theoy, 08, 8, -0 http://www.cp.og/joual/alamt ISSN Ole: 65-3348 ISSN Pt: 65-333X Qua-Ratoal Caocal om of a Matx ove a Numbe el Zhueg Wag *, Qg Wag, Na Q School of Mathematc a Stattc,

More information

Approximation Modeling of Minimal Curved Surface and its Optimization Algorithm Based on Linear Partial Differential Equation

Approximation Modeling of Minimal Curved Surface and its Optimization Algorithm Based on Linear Partial Differential Equation Sesos & asdces Vol. 73 Isse 6 Je 4 pp. 9-96 Sesos & asdces 4 by IFSA Pblshg S. L. http://www.sesospotal.co Appoxato Modelg of Mal Ced Sface ad ts Optzato Algoth ased o Lea Patal Dffeetal Eqato Y Wag Nq

More information

Linear Approximating to Integer Addition

Linear Approximating to Integer Addition Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for

More information

A Forecasting-Residual Spectrum Analysis Method for Distinguishing Forced and Natural Oscillations

A Forecasting-Residual Spectrum Analysis Method for Distinguishing Forced and Natural Oscillations A Foecatg-Redual Spectu Aaly ethod fo Dtguhg Foced ad atual Ocllato ohaadeza Ghobapava, Studet ebe, IEEE, g Zhou, Seo ebe, IEEE, ad Xaohua L, Seo ebe, IEEE, Da udow, Fellow, IEEE, Ruchao Xe, Studet ebe,

More information

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.

More information

On the energy of complement of regular line graphs

On the energy of complement of regular line graphs MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira

More information

A Goal Programming Method for Finding Common Weights in DEA with an Improved Discriminating Power for Efficiency.

A Goal Programming Method for Finding Common Weights in DEA with an Improved Discriminating Power for Efficiency. Joral of Idtral ad Ste Egeerg Vol., No. 4, pp 93-303 Wter 008 A Goal Prograg Method for Fdg Coo Weght DEA wth a Iproved Dcratg Power for Effcec A. Mak, A. Alezhad, R. Ka Mav 3,M. Zohrehbada 4 Departet

More information

Recurrence Relations for Single and Product Moments of Generalized Order Statistics from Extreme Value Distribution

Recurrence Relations for Single and Product Moments of Generalized Order Statistics from Extreme Value Distribution Aecan Jonal o Appled Matheatc and Stattc, 204, Vol. 2, No. 2, 77-82 Avalable onlne at http://pb.cepb.co/aa/2/2/5 Scence and Edcaton Pblhng DOI:0.269/aa-2-2-5 Recence Relaton o Sngle and Podct Moent o Genealzed

More information

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne. KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces

More information

Advanced Nonlinear Control of A Fish Population Model

Advanced Nonlinear Control of A Fish Population Model Iteatoal Joual of Appled Egeeg Reeach ISSN 973-456 Volue, Nube 9 (6) pp 644-65 Advaced Nolea Cotol of A Fh Populato Model Youe Ada, El houe E Mazoud, Jala E Ala, Nouedde Elala 4 ad Ne Dou Uvety Mohaed

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

2. Sample Space: The set of all possible outcomes of a random experiment is called the sample space. It is usually denoted by S or Ω.

2. Sample Space: The set of all possible outcomes of a random experiment is called the sample space. It is usually denoted by S or Ω. Ut: Rado expeet saple space evets classcal defto of pobablty ad the theoes of total ad copoud pobablty based o ths defto axoatc appoach to the oto of pobablty potat theoes based o ths appoach codtoal pobablty

More information

Council for Innovative Research

Council for Innovative Research Geometc-athmetc Idex ad Zageb Idces of Ceta Specal Molecula Gaphs efe X, e Gao School of Tousm ad Geogaphc Sceces, Yua Nomal Uesty Kumg 650500, Cha School of Ifomato Scece ad Techology, Yua Nomal Uesty

More information

AN ALGEBRAIC APPROACH TO M-BAND WAVELETS CONSTRUCTION

AN ALGEBRAIC APPROACH TO M-BAND WAVELETS CONSTRUCTION AN ALGEBRAIC APPROACH TO -BAN WAELETS CONSTRUCTION Toy L Qy S Pewe Ho Ntol Lotoy o e Peeto Pe Uety Be 8 P. R. C Att T e eet le o to ott - otool welet e. A yte of ott eto ote fo - otool flte te olto e o

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Online Open Access publishing platform for Management Research. Copyright 2010 All rights reserved Integrated Publishing association

Online Open Access publishing platform for Management Research. Copyright 2010 All rights reserved Integrated Publishing association Ole Ope cce pblhg plaf f Maagee Reeach Cpgh 00 ll gh eeed Iegaed Pblhg aca Reeach cle ISSN 9 3795 c e f wegh dea eae effcec ad Idef pdc chage Fahad Hezadeh Lf l Paa Reza N Depae f Maheac Scece ad Reeach

More information

HEURISTICS FOR MULTIPLE KNAPSACK PROBLEM

HEURISTICS FOR MULTIPLE KNAPSACK PROBLEM IADIS Iteatoal Cofeece o Appled Coputg 005 HEURISTICS FOR MULTIPLE KNAPSACK PROBLEM Stefa Fdaova Isttute of Paallel Pocessg Acad. G. Bochev st. bl.5a 3 Sofa Bulgaa ABSTRACT The Multple Kapsac poble (MKP)

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

Compactness in Multiset Topology

Compactness in Multiset Topology opatess ultset Topolog Sougata ahata S K Saata Depatet of atheats Vsva-haat Satketa-7335 Ida Abstat The pupose of ths pape s to todue the oept of opatess ultset topologal spae e vestgate soe bas esults

More information

Lecture 9 Multiple Class Models

Lecture 9 Multiple Class Models Lectue 9 Multple Class Models Multclass MVA Appoxmate MVA 8.4.2002 Copyght Teemu Keola 2002 1 Aval Theoem fo Multple Classes Wth jobs the system, a job class avg to ay seve sees the seve as equlbum wth

More information

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix.

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix. Revew + v, + y = v, + v, + y, + y, Cato! v, + y, + v, + y geeral Let A be a atr Let f,g : Ω R ( ) ( ) R y R Ω R h( ) f ( ) g ( ) ( ) ( ) ( ( )) ( ) dh = f dg + g df A, y y A Ay = = r= c= =, : Ω R he Proof

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

2. Elementary Linear Algebra Problems

2. Elementary Linear Algebra Problems . Eleety e lge Pole. BS: B e lge Suoute (Pog pge wth PCK) Su of veto opoet:. Coputto y f- poe: () () () (3) N 3 4 5 3 6 4 7 8 Full y tee Depth te tep log()n Veto updte the f- poe wth N : ) ( ) ( ) ( )

More information

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

21(2007) Adílson J. V. Brandão 1, João L. Martins 2

21(2007) Adílson J. V. Brandão 1, João L. Martins 2 (007) 30-34 Recuece Foulas fo Fboacc Sus Adílso J. V. Badão, João L. Mats Ceto de Mateátca, Coputa cão e Cog cão, Uvesdade Fedeal do ABC, Bazl.adlso.badao@ufabc.edu.b Depataeto de Mateátca, Uvesdade Fedeal

More information

A GENERAL CLASS OF ESTIMATORS UNDER MULTI PHASE SAMPLING

A GENERAL CLASS OF ESTIMATORS UNDER MULTI PHASE SAMPLING TATITIC IN TRANITION-ew sees Octobe 9 83 TATITIC IN TRANITION-ew sees Octobe 9 Vol. No. pp. 83 9 A GENERAL CLA OF ETIMATOR UNDER MULTI PHAE AMPLING M.. Ahed & Atsu.. Dovlo ABTRACT Ths pape deves the geeal

More information