20ό ΕΘΝΙΚΟ ΣΥΝΕΔΡΙΟ της ΕΛΛΗΝΙΚΗΣ ΕΤΑΙΡΕΙΑΣ ΕΠΙΧΕΙΡΗΣΙΑΚΩΝ ΕΡΕΥΝΩΝ (Διοργάνωση ΤΕΙ Πειραιά) Επιχειρησιακή Έρευνα & Τουριστική Ανάπτυξη ΠΡΑΚΤΙΚΑ

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "20ό ΕΘΝΙΚΟ ΣΥΝΕΔΡΙΟ της ΕΛΛΗΝΙΚΗΣ ΕΤΑΙΡΕΙΑΣ ΕΠΙΧΕΙΡΗΣΙΑΚΩΝ ΕΡΕΥΝΩΝ (Διοργάνωση ΤΕΙ Πειραιά) Επιχειρησιακή Έρευνα & Τουριστική Ανάπτυξη ΠΡΑΚΤΙΚΑ"

Transcript

1 0ό ΕΘΝΙΚΟ ΣΥΝΕΔΡΙΟ της ΕΛΛΗΝΙΚΗΣ ΕΤΑΙΡΕΙΑΣ ΕΠΙΧΕΙΡΗΣΙΑΚΩΝ ΕΡΕΥΝΩΝ (Διοργάνωση ΤΕΙ Πειραιά) Επιχειρησιακή Έρευνα & Τουριστική Ανάπτυξη ΠΡΑΚΤΙΚΑ Σπέτσες 9- Ιουνίου 008 Αναργύρειος & Κοργιαένειος Σχοή

2 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη ΕΠΙΣΤΗΜΟΝΙΚΗ ΕΠΙΤΡΟΠΗ Προεδρείο Συνεδρίου Π. Κικίιας Πρόεδρος ΤΕΙ Πειραιά Α. Σπυριδάκος Επ. Καθηγητής ΤΕΙ Πειραιά Επιστημονική Επιτροπή Μ. Βαρεάς ΕΡΓΑ-ΟΣΕ Λ. Βρυζίδης ΤΕΙ Πειραιά Δ/ντής ΚΤΕ Πειραιά και Νήσων Δ. Γιαννακόπουος Διευθυντής ΣΔΟ ΤΕΙ Πειραιά Πρόεδρος Ε.Ε.Ε.Ε. Ε. Γρηγορούδης Πουτεχνείο Κρήτης Α. Δημητράς Οικονομικό Πανεπιστήμιο Αθηνών Δ. Διακουάκη Εθνικό Μετσόβιο Πουτεχνείο Μ. Δούμπος Πουτεχνείο Κρήτης Κ. Ζοπουνίδης Πουτεχνείο Κρήτης Π. Κααντώνης ΤΕΙ Πειραιά Κ. Κάντζος Αντιπρόεδρος ΤΕΙ Πειραιά Α. Κονδύη ΤΕΙ Πειραιά Μ. Κονιόρδος ΤΕΙ Πειραιά Μ. Κοντέσης ΤΕΙ Πειραιά Κ. Κοσμίδου Αριστοτέειο Πανεπιστήμιο Θεσσαονίκης Χ. Κουτσογεώργης ΤΕΙ Πειραιά Π. Κυριαζόπουος ΤΕΙ Πειραιά Ν. Ματσατσίνης Πουτεχνείο Κρήτης Γ. Μαυρωτάς Εθνικό Μετσόβιο Πουτεχνείο Π. Μοίρα ΤΕΙ Πειραιά Θ. Μοσχονά ΤΕΙ Πειραιά Β. Μπένος Πανεπιστήμιο Πειραιά Δ. Μυωνόπουος ΤΕΙ Πειραιά Ι.Χ. Παναγιωτόπουος Πανεπιστήμιο Πειραιά Σ. Παπαχρήστος Πανεπιστήμιο Ιωαννίνων Α. Πατέη Ιόνιο Πανεπιστήμιο Γ. Σαμαράς ΑΤΕΙ Λάρισας Ν. Σαμαράς Πανεπιστήμιο Μακεδονίας Ι. Σίσκος Πανεπιστήμιο Πειραιά Χ. Ταραντίης Οικονομικό Πανεπιστήμιο Αθηνών Ν. Τσότσοας ΖΗΝΩΝ ΑΕ Π. Υψηάντης ΑΤΕI Λάρισας Σ. Φιιππίδου Οικονομικό Πανεπιστήμιο Αθηνών Ι. Ψαρομήιγκος ΤΕΙ Πειραιά Επιστημονικη Επιτροπη

3 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 3 Οργανωτική Επιτροπή Δ. Αναστασάτος ΤΕΙ Πειραιά Δ. Δρόσος ΤΕΙ Πειραιά Ε. Ευφραίμη ΕΕΕΕ Ε. Ζαφείρη ΤΕΙ Πειραιά Π. Κααντώνης ΤΕΙ Πειραιά Α. Κονδύη ΤΕΙ Πειραιά Χ. Κυτάγιας ΤΕΙ Πειραιά Ι. Μέιος Sciee General Γ. Πιερράκος ΤΕΙ Αθήνας Ι. Ψαρομήιγκος ΤΕΙ Πειραιά Επιστημονικη Επιτροπη 3

4 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 7 Measuring Efficienc in e-turism Organizains: An Applicain f Daa Envelpmen Analsis Dr. Emmanuil Siakakis Lecurer Universi f Macednia 56 Egnaia sr Thessalniki siakakis@um.gr Absrac This aricle aims a develping an efficienc measuremen mdel fr e-urism rganizains. Fr cmparabili reasns he sud cncenraes n hel enerprises acivaing in e-business. I is a fac ha efficienc mdels have been develped mainl fr manufacuring perains. In service perains like urism he measuremen f efficienc has vercme serius bsacles such as he inangibili and heergenei f he urism prduc. Bu he ms crucial pin in measuring efficienc f service perains and even mre f e-service perains is ha muliple inpus and upus have be cnsidered n nl frm he rganizain bu frm he cusmer perspecive. Since his sud fcuses n esimaing he relaive efficienc f ne hel cmpared hers he ms apprpriae mehd be used is he Daa Envelpmen Analsis (DEA). This mehd invlves he use f linear prgramming ls cnsruc a nn-parameric surface ver he available daa. Efficienc measures are hen calculaed in relain his surface. DEA is a ver gd apprach when muliple inpus and upus are epressed in differen measuremen unis as eacl ccurs in his case. The DEA efficienc indicar which was develped and used invlves quaniaive (e.g. sales rm capaci) as well as qualiaive (e.g. cusmer saisfacin) daa. The daa used were gahered frm hireen hel enerprises peraing in Greece and having a prven eperience in e-business. The applicain f he DEA apprach in e-urism ffers an efficienc ranking rder f hese firms. This prvides he pssibili idenif high perfrmance firms and use hem as reference unis in rder analze heir cases and develp he bes e-business pracices in he urism secr. Kewrds: e-urism efficienc perfrmance Daa Envelpmen Analsis Infrmain and Cmmunicain Technlgies Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 7

5 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 8. Inrducin Efficienc and prducivi are w f he ms cmmnl used erms in academic and business cnes. The reasn is ha heir imprvemen is ne f he ke cmpeiive advanages f a firm r a whle ecnm. The erms efficienc and prducivi are fen used inerchangeabl bu in fac he d n have precisel he same meaning. Bh are measured b he rai f he upus prduced he inpus used. Hwever prducivi is he amun f upus prduced relaive he amun f inpus used in he prducin prcess while efficienc is he value f upus relaive he cs f inpus. Hence prducivi imprves when he quani f upus increases in relain he quani f inpus. On he her hand efficienc imprves when he cs f inpus is reduced r he value f upus increases. Fr insance a change in he price f inpus migh lead a firm aler he mi f inpus used in rder reduce he cs f inpus and imprve efficienc wihu acuall increasing he quani f upus relaive he quani f inpus. The efficienc f a firm cnsiss f w cmpnens: a) echnical efficienc defined as he abili f he firm bain maimum upu frm a given se f inpus and b) allcaive efficienc which reflecs he abili f he firm use he inpus in pimum prprins given heir cs and he prducin echnlg. Frm he ecnmic perspecive all he pins n a prducin frnier are echnicall efficien bu n equall prducive. There is a pin (B) n he prducin frnier (PP ) a which a ra frm he rigin is angenial he frnier (in he simple case f ne inpu and ne upu) and his is he pin f maimum prducivi (Figure ). In ha wa anher sr f efficienc namel scale efficienc culd be calculaed indicae he amun b which prducivi is increased b mving he pin f maimum prducivi. Cnsequenl efficienc and prducivi d n reflec he same hings. Neverheless heir cmmn basis and indispuable similariies have driven researchers develp he same mehds fr heir inerpreain measuremen and imprvemen. Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 8

6 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 9 Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 9 Figure : Efficienc and Prducivi. Measuring Efficienc and Prducivi in Turism Barrs and Alves (00) have measured urism prducivi b using he Malmquis prducivi inde. This inde was firs inrduced b Caves Chrisensen and Diewer (98) wh defined he al facr prducivi inde using Malmquis inpu and upu disance funcins. The upu-rienaed Malmquis prducivi inde m is given as he gemeric mean f he w Malmquis indices based n perid and perid echnlgies: / )] ( ) ( [ ) ( = m m m where and represen inpu and upu vecrs f a firm respecivel. The perid Malmquis inde is calculaed b he fllwing equain: ) ( ) ( ) ( d d m = Hence his means ha he Malmquis prducivi inde requires he calculain f fur disance funcins namel ) ( d ) ( d ) ( d and ) ( d. In rder calculae hese disance funcins we need have sufficien daa describe he prducin echnlgies in perids and. Wha is acuall ineresing in his apprach is ha he upu-rienaed (r he inpu-rienaed) 0 Β Α C P P

7 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 0 Malmquis prducivi inde can be decmpsed in he w main surces f prducivi change efficienc change and echnical change. A similar apprach is adped b Pepch (007) wh presens efficienc and prducivi measures fr he French urism indusr. He uses he Luenberger indicar prpsed b Chambers and Ppe (996) in rder evaluae prducivi change. This indicar is based n he recenl inrduced in prducin her direcinal disance funcins (Chambers e al. 996) which prjec he inpu and/r upu vecr frm iself he echnlg frnier in a pre-assigned direcin. The Luenberger indicar is given b he arihmeic mean f w cmpnens reflecing he prducivi change wih respec he echnlg frnier in perids and. Like eacl he Malmquis inde he Luenberger indicar decmpses in ne erm measuring efficienc change and anher ne epressing echnical change. The mehd which was chsen be applied in his sud is Daa Envelpmen Analsis. I is cnsidered as an apprpriae mehd since i can handle muliple inpus and upus measured in differen unis. These are basic assumpins fr he urism prduc. Furhermre his wrk fcus n esimaing he relaive efficienc f a urism firm cmpared hers and his is acuall he primar purpse f he DEA mehdlg. 3. Daa Envelpmen Analsis Alhugh he principles f DEA were given b Farrell (957) he erm Daa Envelpmen Analsis was firs used b Charnes e al. (978). Since hen a significan number f sudies have eended he DEA mehdlg (Seifrd 996; Celli 998; Thanassulis 00). DEA is empled measure efficienc a a firm level. I invlves he use f linear prgramming mehds cnsruc a nn-parameric piece-wise surface (r frnier) ver he daa. Efficienc measures are hen calculaed relaive his surface (Celli e al. 005). A brief uline f he DEA mehdlg having an inpu rienain and assuming cnsan reurns scale (CRS) fllws: suppse we have daa n n inpus and m upus fr each f k firms. Thus he daa fr all k firms referred as decisin making unis (DMUs) are represened in he nk inpu mari X and he mk upu mari Y. An efficienc measure f a DMU fr eample he uni is given b he rai f all upus ver all inpus such as u / v where u is an m vecr f upu weighs and v is an n vecr f inpu weighs. The DEA prblem is frmulaed as fllws (Fuchs 00): find pimal values fr u and v such ha he efficienc measure fr he firm be Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 0

8 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη maimized subjec he cnsrains ha he efficienc measures f all her firms mus be less han r equal ne. The pimal values are bained b he sluin f he mahemaical prgramming prblem: ma u v m r = n j = u v r j r j m u s r ri r = n v j = j ji fr each i=...k u r v j 0 () Since his prblem has an infinie number f sluins a refrmulain f he DEA mdel is required aiming cnver he bjecive funcin a linear funcin. Hence we can arbiraril cnsider ha he sum f inpus fr he decisin making uni equals ne: n j = v j j = he muliplier frm :. The DEA mdel is refrmed a linear prgramming prblem knwn as ma u v m r = m u r r s u v 0 fr each i=...k r = n j = v n r ri j ji j = j j = u r v j 0 () I is knwn ha in linear prgramming a dual mdel crrespnds he primal linear mdel. Insead f slving he primal mdel man imes he dual mdel is much easier be slved. The dual frm in he case f DEA ( envelpmen frm ) is presened belw: The nain s sands fr subjec Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη

9 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη min θ θ s 0 θ k r i ri i= k j i ji i= 0 0 fr each i=...k (3) i Where: θ he efficienc scre fr he DMU ( θ ) a k vecr f cnsans. If he sum f inpus and upus is less han he number f firms plus ne (nm < k) he envelpmen frm invlves fewer cnsrains and is easier be slved han he muliplier frm (Charnes e al. 996). Of curse he abve linear prgramming prblem mus be slved k imes ne fr each f he DMUs. The inerpreain f he DEA prblem is cnrac radiall he inpu vecr i f he firm i as much as pssible while sill remaining wihin he feasible inpu se. The inner-bundar f his se is he piece-wise linear isquan II depiced in Figure. The radial cnracin f he inpu vecr i prduces a prjeced pin n his frnier. This prjeced pin is a linear cmbinain f he bserved daa pins (Celli e al. 005). Figure : The Daa Envelpe / I 3 3 Daa Envelpe I 0 / Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη

10 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 3 The abve presened mdel has an inpu rienain and assumes cnsan reurns scale. The chice f inpu r upu rienain has n influence n he se f firms esimaed as efficien and a minr influence upn he efficienc scres bained. On he her hand he assumpin f CRS is nl apprpriae when all firms perae a an pimal scale. If his assumpin is n valid as usuall ccurs he CRS DEA mdel shuld be adjused accun fr variable reurns scale (VRS). The linear prgramming prblem hen is refrmed as fllws b adding he cnvei cnsrain I = i = where I is a k vecr f nes: k i= min θ θ s 0 θ k i= k r i ri i= k j i ji i= = i 0 0 fr each i=...k () i I is a fac ha sme issues cncerning he DEA mehdlg need be furher cnsidered. Fr eample he pins 3 and n he secins f he frnier which are parallel he aes (Figure ) are n efficien pins since he amun f inpus ( fr 3 and fr ) culd be reduced and sill he same amun f upu is prduced. T avid hese inefficiencies (referred as slacks) ne culd slve addiinal linear prgramming prblems idenif efficien pins wih similar inpu and upu mies hse f he inefficien pins. Despie is weaknesses DEA is acuall a ver ineresing apprach in efficienc measuremen.. Daa Cllecin Mehdlg In his sud DEA is applied n he urism secr and mre specificall hireen hel enerprises lcaed in Greece wih a bradl apprved eperience in e-business. This applicain area is accuned fr he fllwing reasns: hels represen a significan par f he urism secr as being direc suppliers f he urism prduc. A his pin i shuld be ned ha urism firms are classified in hree majr caegries namel direc Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 3

11 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη suppliers suppring and inermediar services and develpmen rganizains and insiuins (SETE and SEPE 007). Mrever accrding he NACE classificain ssem hels cnsiue ne f he majr business aciviies f he urism secr (Secral e-business W@ch 006). Regarding e-business par f his applicain i shuld be kep in mind ha nwadas man effrs have been made furher enhance he adpin and use f Infrmain and Cmmunicain Technlgies (ICTs) wihin he Greek urism indusr. I is a fac ha he level f ICTs adpin in he Greek urism secr is ver lw. The majri f urism firms paricularl he small and medium-sized nes make lile use f ICTs. Onl markeing amng business funcins is digiized a remarkable een. Bu urism firms can benefi frm ICTs in numerus was ne f which is bs heir efficienc since human resurces can deve heir ime mre value adding sraegic aciviies. Therefre he rle and significance f ICTs n he enhancemen f efficienc a a firm level is pined u hrugh he applicain f DEA n hel enerprises wih an e- business acivi. Afer deciding n he applicain area f DEA he ne sep was cnsruc an apprpriae efficienc indicar. The numerar f he efficienc rai was defined b he sum f w variables which are sales urnver and cusmer saisfacin. Sales urnver being a quaniaive variable is a main cmpnen f a hel enerprise s (as an her cmpan s) upu. The daa have been available frm he laes financial direcr f a Greek privae business infrmain firm (ICAP 008). Cusmer saisfacin (qualiaive variable) is als an impran upu f a hel s perain alhugh i is mre difficul be measured raher han sales. In rder bain cusmers daa a surve n Greek urism which was being carried u during his sud was used. The respndens his surve (individuals 8-55 ears ld) were asked answer amng her relevan issues he fllwing w quesins: Which f he hels menined belw (a lis f he hels belnging he hel enerprises f he sample was given) have u had a persnal eperience frm ver he las five ears? and if u had a persnal eperience frm a hel wha was he degree f he verall saisfacin a he end f ur sa a his hel? accrding a 7-pin Liker scale where 7 crrespnded he maimum pssible saisfacin. These quesins were all answered b 387 individuals in w mnhs perid frm earl Februar lae March 008. The denminar f he efficienc rai cmprised w variables as well i.e. rm capaci and salaries and wages (bh quaniaive variables). Rm capaci refers he al number f rms bungalws NACE (Revisin.) is a -digi classificain f business aciviies in he Eurpean Unin Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη

12 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 5 suies as well as her ldgings available cusmers. Since he ccupanc raes are alms 00% during he high uris seasn in Greece i was unnecessar ake as an inpu facr he acual vernighs insead f he rm capaci. The daa were gahered hrugh he websies f he sampled hels. Finall salaries and wages cnsiue a majr inpu cmpnen f he efficienc rai paricularl fr a service rganisain like a hel enerprise. These daa were given b managers f he hels. In ver few cases ha sme daa were n available he figures were esimaed aking in accun he number and ccupain f he persnnel and he cllecive agreemen f he Greek hspiali indusr (006). T summarize he DEA efficienc indicar is calculaed as fllws: E ( u SalesTurnver) ( u CusmerSaisfacin) = ff ( v RmCapaci) ( v SalariesAndWages) The effeciveness f DEA is n influenced b he fac ha he abve inpu and upu variables are measured in differen unis. This is a majr advanage f he applicain f he DEA mehdlg n measuring efficienc in e-urism rganizains. The sample used in his sud cnsiss f hireen hel enerprises peraing in Greece and having an e-business acivi. Fr cmparabili reasns he sample was seleced frm a lis including he leading hel enerprises (S.A.) ranked b 006 prfis (ICAP 008). These enerprises wn and 5 sar hels nl accrding he raing ssem (frm ne five sars) adped b he Greek Nainal Turism Organizain. This means ha he daa analsis led cmparable resuls. All he daa clleced and prcessed hrugh DEA are presened in Table. T ensure he annmi f he hel enerprises f he sample as lng as he nl purpse f he paper is demnsrae he applicain f he DEA mehdlg he enerprises are menined arihmeicall. Table : Daa f Hel Enerprises fr DEA (Year 006) N Sales Turnver ( 000) Cusmer Saisfacin (- 7) Rm Capaci Salaries and Wages ( 000) Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 5

13 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη Resuls Firsl i has be ned ha he assumpin f variable reurns scale has been acceped in his apprach. This is quie reasnable since a dubling fr eample f ne f he inpus wuld cerainl n resul in he dubling f ne f he upus. Based n he linear prgramming mdel () he fllwing prblem fr he firm has be slved (he prblem will be slved 3 imes nce fr each firm f he sample): min θ θ s 8 ( ) θ 8 θ 8 ( 8 ( 8 ( ) 0 7 ) 0 = ) 0 0 (5) i Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 6

14 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 7 I is reminded ha he efficienc scre θ is less han r equal b definiin. Thus anher cnsrain (θ ) is added his mdel. Replacing he values f inpus and upus given in Table (fr sake f simplici sales urnver and salaries-wages daa are divided b 0 3 and rm capaci b 0 ) he linear prgramming prblem (5) akes he frm belw: min θ s θ 37 ( ( ) ) 0 θ 83 ( ) θ 5307 ( ) 0 i = θ (6) All he resuls (values fr θ and i ) derived frm he sluin f he linear prgramming prblem (6) fr he decisin making uni and fllwing ha he sluin f he prblem () fr he remaining unis are presened in Table. Table : DEA Resuls uni θ E Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 7

15 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη E E E E Accrding Table si u f hireen hel enerprises are full efficien (r simpl efficien) decisin making unis (heir efficienc scre θ equals ne). These unis are: and. As we can see a grup f efficien unis crrespnds each ne f he inefficien unis. Fr eample efficien unis 3 7 and 8 crrespnd inefficien uni. These efficien firms ac as reference unis s as he inefficien firms furher imprve heir efficienc scres. Perusal f Table shws ha hel enerprise 3 is used seven imes as a reference uni. Hence hel enerprise 3 culd be cnsidered he bes perfrmance uni in he whle se f he eamined unis. Table 3 summarizes he required percenage fr full efficienc f all he inefficien unis. Table 3: Required Percenage fr Full Efficienc f Inefficien Unis Uni Required Percenage fr Full Efficienc 59% 35% 5% 5 353% 9 58% 0 05% 3 809% 6. Discussin Appling he DEA mehdlg n he sample f hel enerprises i was pssible make useful cmparisns based n heir relaive efficienc measuremens. In his apprach he ineres was fcused n he applicain f a pwerful echnique like DEA n a paricularl ineresing business area like e-urism. Bu in pracice he ineres is n nl Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 8

16 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 9 hereical since man benefis migh arise fr he rganizains adping his echnique. Firsl hese rganizains wuld be capable f deermining feasible bjecives in heir efficienc imprvemen effrs. The wuld als idenif he rganizains which culd be used as reference r benchmarking unis. Mrever if DEA is used n a regular basis he rganizains will have he daabase required develp a self-evaluain mdel. Measuring efficienc in urism rganizains wih an e-business acivi is acuall a challenge n nl fr his sud bu fr fuure research endeavurs as well. ICTs and e- business are riggering significan changes in he urism indusr. There is nwadas a grwing cnsensus ha ICTs are psiivel assciaed wih efficienc and prducivi grwh a he firm level such as a hel enerprise a cruise cmpan a ravel agenc ec. The inense use f ICTs in cmbinain wih a high level f emplees skills can lead a subsanial efficienc imprvemen in urism firms. Of curse a urism rganizain is primaril a service rganizain hus a echnlgical change even a majr ne wuld n have he epeced resul wihu he cnribuin f he human facr. T summarize ICTs will cninue be a basic enabler fr efficienc imprvemens in he fuure. Therefre i is impran fr urism rganizains cninue mniring and analzing he impac f new echnlgies n heir efficienc. References Barrs C.P. and Alves F.P. (00) Prducivi in he urism indusr Inernainal Advances in Ecnmic Research 0(3) 5-5. Caves D.W. Chrisensen L.R. and Diewer W.E. (98) The ecnmic her f inde numbers and he measuremen f inpu upu and prducivi Ecnmerica Chambers R.G. Chung Y. and Färe R. (996) Benefi and disance funcins Jurnal f Ecnmic Ther 70() Chambers R.G. and Ppe R.D. (996) Aggregae prducivi measures American Jurnal f Agriculural Ecnmics 78(5) Charnes A. Cper W. Lewin A.Y. and Seifrd L.M. (996) Daa Envelpmen Analsis: Ther Mehdlg and Applicains Kluwer Academic Publishers Bsn. Charnes A. Cper W. and Rhdes E. (978) Measuring he efficienc f Decisin Making Unis Eurpean Jurnal f Operainal Research 9-. Celli T.J. (998) A muli-sage mehdlg fr he sluin f rienaed DEA mdels Operains Research Leers Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 9

17 Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 30 Celli T.J. Prasada Ra D.S. O Dnnell C.J. and Baese G.E. (005) An Inrducin Efficienc and Prducivi Analsis (nd ediin) Springer New Yrk. Cllecive Agreemen f he Greek Hspiali Indusr (006) hp:// (accessed March 008). Farrell M.J. (957) The measuremen f prducive efficienc Jurnal f he Ral Saisical Scie Series A CXX Par Fuchs M. (00) Sraeg develpmen in urism desinains: A DEA apprach Pznan Ecnmics Review () ICAP (008) Greek Financial Direcr: Greece in Figures hp://sup.kahimerini.gr/ra/media/files/fin/gif_008.pdf (accessed 7 Februar 008). Pepch N. (007) On measuring urism prducivi Asia Pacific Jurnal f Turism Research (3) 37-. Secral e-business W@ch (006) ICT and e-business in he Turism Indusr Secr Repr N. 8/006 Eurpean Cmmissin hp:// (accessed 6 April 008). Seifrd L.M. (996) Daa Envelpmen Analsis: The evluin f he sae f he ar ( ) Jurnal f Prducivi Analsis SETE / The Assciain f Greek Turis Enerprises and SEPE / The Federain f Hellenic Infrmain Technlg and Cmmunicains Enerprises (007) Develping a cperain framewrk beween ICT and Turism prviders in Greece hp:// (accessed 6 April 008). Thanassulis E. (00) Inrducin he Ther and Applicain f Daa Envelpmen Analsis: A fundain e wih inegraed sfware Kluwer Academic Publishers Bsn. Ενοτητα - Επιχειρησιακή Έρευνα και Τουριστική Ανάπτυξη 30

2 2 2 The correct formula for the cosine of the sum of two angles is given by the following theorem.

2 2 2 The correct formula for the cosine of the sum of two angles is given by the following theorem. 5 TRIGONOMETRIC FORMULAS FOR SUMS AND DIFFERENCES The fundamental trignmetric identities cnsidered earlier express relatinships amng trignmetric functins f a single variable In this sectin we develp trignmetric

Διαβάστε περισσότερα

2 2 2 The correct formula for the cosine of the sum of two angles is given by the following theorem.

2 2 2 The correct formula for the cosine of the sum of two angles is given by the following theorem. 5 TRIGONOMETRIC FORMULAS FOR SUMS AND DIFFERENCES The fundamental trignmetric identities cnsidered earlier express relatinships amng trignmetric functins f a single variable In this sectin we develp trignmetric

Διαβάστε περισσότερα

ω = radians per sec, t = 3 sec

ω = radians per sec, t = 3 sec Secion. Linear and Angular Speed 7. From exercise, =. A= r A = ( 00 ) (. ) = 7,00 in 7. Since 7 is in quadran IV, he reference 7 8 7 angle is = =. In quadran IV, he cosine is posiive. Thus, 7 cos = cos

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1) Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as

Διαβάστε περισσότερα

Διερεύνηση και αξιολόγηση μεθόδων ομογενοποίησης υδροκλιματικών δεδομένων ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ

Διερεύνηση και αξιολόγηση μεθόδων ομογενοποίησης υδροκλιματικών δεδομένων ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ ΕΘΝΙΚΟ ΜΕΤΣΟΒΕΙΟ ΠΟΛΥΤΕΧΝΕΙΟ ΣΧΟΛΗ ΠΟΛΙΤΙΚΩΝ ΜΗΧΑΝΙΚΩΝ Τομέας Υδατικών Πόρων και Περιβάλλοντος Εύα- Στυλιανή Στείρου Διερεύνηση και αξιολόγηση μεθόδων ομογενοποίησης υδροκλιματικών δεδομένων ΔΙΠΛΩΜΑΤΙΚΗ

Διαβάστε περισσότερα

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

1) Formulation of the Problem as a Linear Programming Model

1) Formulation of the Problem as a Linear Programming Model 1) Formulation of the Problem as a Linear Programming Model Let xi = the amount of money invested in each of the potential investments in, where (i=1,2, ) x1 = the amount of money invested in Savings Account

Διαβάστε περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

Lecture 12 Modulation and Sampling

Lecture 12 Modulation and Sampling EE 2 spring 2-22 Handou #25 Lecure 2 Modulaion and Sampling The Fourier ransform of he produc of wo signals Modulaion of a signal wih a sinusoid Sampling wih an impulse rain The sampling heorem 2 Convoluion

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

5.4 The Poisson Distribution.

5.4 The Poisson Distribution. The worst thing you can do about a situation is nothing. Sr. O Shea Jackson 5.4 The Poisson Distribution. Description of the Poisson Distribution Discrete probability distribution. The random variable

Διαβάστε περισσότερα

SOLUTIONS & ANSWERS FOR KERALA ENGINEERING ENTRANCE EXAMINATION-2018 PAPER II VERSION B1

SOLUTIONS & ANSWERS FOR KERALA ENGINEERING ENTRANCE EXAMINATION-2018 PAPER II VERSION B1 SOLUTIONS & ANSWERS FOR KERALA ENGINEERING ENTRANCE EXAMINATION-8 PAPER II VERSION B [MATHEMATICS]. Ans: ( i) It is (cs5 isin5 ) ( i). Ans: i z. Ans: i i i The epressin ( i) ( ). Ans: cs i sin cs i sin

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Section 7.6 Double and Half Angle Formulas

Section 7.6 Double and Half Angle Formulas 09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Business English. Ενότητα # 9: Financial Planning. Ευαγγελία Κουτσογιάννη Τμήμα Διοίκησης Επιχειρήσεων

Business English. Ενότητα # 9: Financial Planning. Ευαγγελία Κουτσογιάννη Τμήμα Διοίκησης Επιχειρήσεων ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ Ανώτατο Εκπαιδευτικό Ίδρυμα Πειραιά Τεχνολογικού Τομέα Business English Ενότητα # 9: Financial Planning Ευαγγελία Κουτσογιάννη Τμήμα Διοίκησης Επιχειρήσεων Άδειες Χρήσης Το παρόν εκπαιδευτικό

Διαβάστε περισσότερα

HISTOGRAMS AND PERCENTILES What is the 25 th percentile of a histogram? What is the 50 th percentile for the cigarette histogram?

HISTOGRAMS AND PERCENTILES What is the 25 th percentile of a histogram? What is the 50 th percentile for the cigarette histogram? HISTOGRAMS AND PERCENTILES What is the 25 th percentile of a histogram? The point on the horizontal axis such that of the area under the histogram lies to the left of that point (and to the right) What

Διαβάστε περισσότερα

9.1 Introduction 9.2 Lags in the Error Term: Autocorrelation 9.3 Estimating an AR(1) Error Model 9.4 Testing for Autocorrelation 9.

9.1 Introduction 9.2 Lags in the Error Term: Autocorrelation 9.3 Estimating an AR(1) Error Model 9.4 Testing for Autocorrelation 9. 9.1 Inroducion 9.2 Lags in he Error Term: Auocorrelaion 9.3 Esimaing an AR(1) Error Model 9.4 Tesing for Auocorrelaion 9.5 An Inroducion o Forecasing: Auoregressive Models 9.6 Finie Disribued Lags 9.7

Διαβάστε περισσότερα

Stresses in a Plane. Mohr s Circle. Cross Section thru Body. MET 210W Mohr s Circle 1. Some parts experience normal stresses in

Stresses in a Plane. Mohr s Circle. Cross Section thru Body. MET 210W Mohr s Circle 1. Some parts experience normal stresses in ME 10W E. Evans Stresses in a Plane Some parts eperience normal stresses in two directions. hese tpes of problems are called Plane Stress or Biaial Stress Cross Section thru Bod z angent and normal to

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ ΛΑΖΑΡΟΣ

ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ ΛΑΖΑΡΟΣ ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΤΜΗΜΑ ΜΑΘΗΜΑΤΙΚΩΝ ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ ΘΕΩΡΗΤΙΚΗ ΠΛΗΡΟΦΟΡΙΚΗ ΚΑΙ ΘΕΩΡΙΑ ΣΥΣΤΗΜΑΤΩΝ & ΕΛΕΓΧΟΥ ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ

Διαβάστε περισσότερα

«ΑΓΡΟΤΟΥΡΙΣΜΟΣ ΚΑΙ ΤΟΠΙΚΗ ΑΝΑΠΤΥΞΗ: Ο ΡΟΛΟΣ ΤΩΝ ΝΕΩΝ ΤΕΧΝΟΛΟΓΙΩΝ ΣΤΗΝ ΠΡΟΩΘΗΣΗ ΤΩΝ ΓΥΝΑΙΚΕΙΩΝ ΣΥΝΕΤΑΙΡΙΣΜΩΝ»

«ΑΓΡΟΤΟΥΡΙΣΜΟΣ ΚΑΙ ΤΟΠΙΚΗ ΑΝΑΠΤΥΞΗ: Ο ΡΟΛΟΣ ΤΩΝ ΝΕΩΝ ΤΕΧΝΟΛΟΓΙΩΝ ΣΤΗΝ ΠΡΟΩΘΗΣΗ ΤΩΝ ΓΥΝΑΙΚΕΙΩΝ ΣΥΝΕΤΑΙΡΙΣΜΩΝ» I ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΣΧΟΛΗ ΝΟΜΙΚΩΝ ΟΙΚΟΝΟΜΙΚΩΝ ΚΑΙ ΠΟΛΙΤΙΚΩΝ ΕΠΙΣΤΗΜΩΝ ΤΜΗΜΑ ΟΙΚΟΝΟΜΙΚΩΝ ΕΠΙΣΤΗΜΩΝ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ ΣΤΗΝ «ΔΙΟΙΚΗΣΗ ΚΑΙ ΟΙΚΟΝΟΜΙΑ» ΚΑΤΕΥΘΥΝΣΗ: ΟΙΚΟΝΟΜΙΚΗ

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl EHNIA APPENDIX AMPANY SIMPE S SHARIN NRAS Proof of emma. he choice of an opimal SR conrac involves he choice of an such ha he supplier chooses he S opion hen and he R opion hen >. When he selecs he S opion

Διαβάστε περισσότερα

1. Ευθύγραμμη ομαλή κίνηση 2. Εξίσωση κίνησης 3. Μετατόπιση & διάστημα 4. ιάγραμμα ταχύτητας χρόνου 5. Στρατηγική λύσης προβλημάτων.

1. Ευθύγραμμη ομαλή κίνηση 2. Εξίσωση κίνησης 3. Μετατόπιση & διάστημα 4. ιάγραμμα ταχύτητας χρόνου 5. Στρατηγική λύσης προβλημάτων. 24/9/214 Γενική Φσική Κωνσταντίνος Χ. Παύλο Φσικός Ραδιοηλεκτρολόγος (MSc) Καστοριά, Σεπτέμβριος 14 1. 2. Εξίσωση κίνησης 3. Μετατόπιση & διάστημα 4. ιάγραμμα ταχύτητας χρόνο 5. ονομάζεται η κίνηση πο

Διαβάστε περισσότερα

Notes on the Open Economy

Notes on the Open Economy Notes on the Open Econom Ben J. Heijdra Universit of Groningen April 24 Introduction In this note we stud the two-countr model of Table.4 in more detail. restated here for convenience. The model is Table.4.

Διαβάστε περισσότερα

Παραγωγή ήχου από ψάρια που υέρουν νηκτική κύστη: Παραμετρική ανάλυση του μοντέλου

Παραγωγή ήχου από ψάρια που υέρουν νηκτική κύστη: Παραμετρική ανάλυση του μοντέλου Παραγωγή ήχου από ψάρια που υέρουν νηκτική κύστη: Παραμετρική ανάλυση του μοντέλου Σππξίδσλ Κνπδνύπεο Τκήκα Μνπζηθήο Τερλνινγίαο θαη Αθνπζηηθήο, Τ.Δ.Ι. Κξήηεο skuz@staff.teicrete.gr Παλαγηώηεο Παπαδάθεο

Διαβάστε περισσότερα

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1 Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

Διαβάστε περισσότερα

6.003: Signals and Systems

6.003: Signals and Systems 6.3: Signals and Sysems Modulaion December 6, 2 Communicaions Sysems Signals are no always well mached o he media hrough which we wish o ransmi hem. signal audio video inerne applicaions elephone, radio,

Διαβάστε περισσότερα

Modbus basic setup notes for IO-Link AL1xxx Master Block

Modbus basic setup notes for IO-Link AL1xxx Master Block n Modbus has four tables/registers where data is stored along with their associated addresses. We will be using the holding registers from address 40001 to 49999 that are R/W 16 bit/word. Two tables that

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits. EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.

Διαβάστε περισσότερα

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

Μηχανική Μάθηση Hypothesis Testing

Μηχανική Μάθηση Hypothesis Testing ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Μηχανική Μάθηση Hypothesis Testing Γιώργος Μπορμπουδάκης Τμήμα Επιστήμης Υπολογιστών Procedure 1. Form the null (H 0 ) and alternative (H 1 ) hypothesis 2. Consider

Διαβάστε περισσότερα

Class 03 Systems modelling

Class 03 Systems modelling Class 03 Systems mdelling Systems mdelling input utput spring / mass / damper Systems mdelling spring / mass / damper Systems mdelling spring / mass / damper applied frce displacement input utput Systems

Διαβάστε περισσότερα

Reservoir modeling. Reservoir modelling Linear reservoirs. The linear reservoir, no input. Starting up reservoir modeling

Reservoir modeling. Reservoir modelling Linear reservoirs. The linear reservoir, no input. Starting up reservoir modeling Reservoir modeling Reservoir modelling Linear reservoirs Paul Torfs Basic equaion for one reservoir:) change in sorage = sum of inflows minus ouflows = Q in,n Q ou,n n n jus an ordinary differenial equaion

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ (Τ.Ε.Ι.) ΠΕΙΡΑΙΑ ΣΧΟΛΗ ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΟΙΚΟΝΟΜΙΑΣ ΤΜΗΜΑ ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΚΑΤΕΥΘΥΝΣΗ: ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ

ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ (Τ.Ε.Ι.) ΠΕΙΡΑΙΑ ΣΧΟΛΗ ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΟΙΚΟΝΟΜΙΑΣ ΤΜΗΜΑ ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΚΑΤΕΥΘΥΝΣΗ: ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ (Τ.Ε.Ι.) ΠΕΙΡΑΙΑ ΣΧΟΛΗ ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΟΙΚΟΝΟΜΙΑΣ ΤΜΗΜΑ ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΚΑΤΕΥΘΥΝΣΗ: ΔΙΟΙΚΗΣΗΣ ΕΠΙΧΕΙΡΗΣΕΩΝ ΠΤΥΧΙΑΚΗ ΕΡΓΑΣΙΑ Εφαρμογές των μαθηματικών θεωριών πολέμου

Διαβάστε περισσότερα

Macromechanics of a Laminate. Textbook: Mechanics of Composite Materials Author: Autar Kaw

Macromechanics of a Laminate. Textbook: Mechanics of Composite Materials Author: Autar Kaw Macromechanics of a Laminate Tetboo: Mechanics of Composite Materials Author: Autar Kaw Figure 4.1 Fiber Direction θ z CHAPTER OJECTIVES Understand the code for laminate stacing sequence Develop relationships

Διαβάστε περισσότερα

ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΤΜΗΜΑ ΟΔΟΝΤΙΑΤΡΙΚΗΣ ΕΡΓΑΣΤΗΡΙΟ ΟΔΟΝΤΙΚΗΣ ΚΑΙ ΑΝΩΤΕΡΑΣ ΠΡΟΣΘΕΤΙΚΗΣ

ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΤΜΗΜΑ ΟΔΟΝΤΙΑΤΡΙΚΗΣ ΕΡΓΑΣΤΗΡΙΟ ΟΔΟΝΤΙΚΗΣ ΚΑΙ ΑΝΩΤΕΡΑΣ ΠΡΟΣΘΕΤΙΚΗΣ ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΤΜΗΜΑ ΟΔΟΝΤΙΑΤΡΙΚΗΣ ΕΡΓΑΣΤΗΡΙΟ ΟΔΟΝΤΙΚΗΣ ΚΑΙ ΑΝΩΤΕΡΑΣ ΠΡΟΣΘΕΤΙΚΗΣ ΣΥΓΚΡΙΤΙΚΗ ΜΕΛΕΤΗ ΤΗΣ ΣΥΓΚΡΑΤΗΤΙΚΗΣ ΙΚΑΝΟΤΗΤΑΣ ΟΡΙΣΜΕΝΩΝ ΠΡΟΚΑΤΑΣΚΕΥΑΣΜΕΝΩΝ ΣΥΝΔΕΣΜΩΝ ΑΚΡΙΒΕΙΑΣ

Διαβάστε περισσότερα

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

6.3 Forecasting ARMA processes

6.3 Forecasting ARMA processes 122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear

Διαβάστε περισσότερα

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΤΜΗΜΑ ΝΟΣΗΛΕΥΤΙΚΗΣ

ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΤΜΗΜΑ ΝΟΣΗΛΕΥΤΙΚΗΣ ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΤΜΗΜΑ ΝΟΣΗΛΕΥΤΙΚΗΣ ΠΤΥΧΙΑΚΗ ΕΡΓΑΣΙΑ ΨΥΧΟΛΟΓΙΚΕΣ ΕΠΙΠΤΩΣΕΙΣ ΣΕ ΓΥΝΑΙΚΕΣ ΜΕΤΑ ΑΠΟ ΜΑΣΤΕΚΤΟΜΗ ΓΕΩΡΓΙΑ ΤΡΙΣΟΚΚΑ Λευκωσία 2012 ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ

Διαβάστε περισσότερα

D-Wave D-Wave Systems Inc.

D-Wave D-Wave Systems Inc. D-Wave D-Wave sems Inc. Anaol Yu. mirnov D-Wave sems Inc. Vancouver Briish Columbia HE QUANUM COMPUING COMPANY M Decoherence and Noise Conrol in rongl Driven uperconducing Quanum Bis Collaboraion: M. Grajcar

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

6.003: Signals and Systems. Modulation

6.003: Signals and Systems. Modulation 6.3: Signals and Sysems Modulaion December 6, 2 Subjec Evaluaions Your feedback is imporan o us! Please give feedback o he saff and fuure 6.3 sudens: hp://web.mi.edu/subjecevaluaion Evaluaions are open

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

Χρονοσειρές Μάθημα 3

Χρονοσειρές Μάθημα 3 Χρονοσειρές Μάθημα 3 Ασυσχέτιστες (λευκός θόρυβος) και ανεξάρτητες (iid) παρατηρήσεις Chafield C., The Analysis of Time Series, An Inroducion, 6 h ediion,. 38 (Chaer 3): Some auhors refer o make he weaker

Διαβάστε περισσότερα

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών

ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Τέλος Ενότητας Χρηματοδότηση Το παρόν εκπαιδευτικό υλικό έχει αναπτυχθεί

Διαβάστε περισσότερα

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions

Διαβάστε περισσότερα

Ανάκτηση Πληροφορίας

Ανάκτηση Πληροφορίας Ανάκτηση Πληροφορίας Αποτίμηση Αποτελεσματικότητας Μέτρα Απόδοσης Precision = # σχετικών κειμένων που επιστρέφονται # κειμένων που επιστρέφονται Recall = # σχετικών κειμένων που επιστρέφονται # συνολικών

Διαβάστε περισσότερα

Similarly, we may define hyperbolic functions cosh α and sinh α from the unit hyperbola

Similarly, we may define hyperbolic functions cosh α and sinh α from the unit hyperbola Universit of Hperbolic Functions The trigonometric functions cos α an cos α are efine using the unit circle + b measuring the istance α in the counter-clockwise irection along the circumference of the

Διαβάστε περισσότερα

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral.

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral. SECTION.7 VECTOR FUNCTIONS AND SPACE CURVES.7 VECTOR FUNCTIONS AND SPACE CURVES A Click here for answers. S Click here for soluions. Copyrigh Cengage Learning. All righs reserved.. Find he domain of he

Διαβάστε περισσότερα

Mean bond enthalpy Standard enthalpy of formation Bond N H N N N N H O O O

Mean bond enthalpy Standard enthalpy of formation Bond N H N N N N H O O O Q1. (a) Explain the meaning of the terms mean bond enthalpy and standard enthalpy of formation. Mean bond enthalpy... Standard enthalpy of formation... (5) (b) Some mean bond enthalpies are given below.

Διαβάστε περισσότερα

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS EXERCISE 01 Page 545 1. Use matrices to solve: 3x + 4y x + 5y + 7 3x + 4y x + 5y 7 Hence, 3 4 x 0 5 y 7 The inverse of 3 4 5 is: 1 5 4 1 5 4 15 8 3

Διαβάστε περισσότερα

Advanced Subsidiary Unit 1: Understanding and Written Response

Advanced Subsidiary Unit 1: Understanding and Written Response Write your name here Surname Other names Edexcel GE entre Number andidate Number Greek dvanced Subsidiary Unit 1: Understanding and Written Response Thursday 16 May 2013 Morning Time: 2 hours 45 minutes

Διαβάστε περισσότερα

«Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων. Η μεταξύ τους σχέση και εξέλιξη.»

«Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων. Η μεταξύ τους σχέση και εξέλιξη.» ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ ΣΧΟΛΗ ΑΓΡΟΝΟΜΩΝ ΚΑΙ ΤΟΠΟΓΡΑΦΩΝ ΜΗΧΑΝΙΚΩΝ ΤΟΜΕΑΣ ΓΕΩΓΡΑΦΙΑΣ ΚΑΙ ΠΕΡΙΦΕΡΕΙΑΚΟΥ ΣΧΕΔΙΑΣΜΟΥ ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ: «Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων.

Διαβάστε περισσότερα

the total number of electrons passing through the lamp.

the total number of electrons passing through the lamp. 1. A 12 V 36 W lamp is lit to normal brightness using a 12 V car battery of negligible internal resistance. The lamp is switched on for one hour (3600 s). For the time of 1 hour, calculate (i) the energy

Διαβάστε περισσότερα

Case 1: Original version of a bill available in only one language.

Case 1: Original version of a bill available in only one language. currentid originalid attributes currentid attribute is used to identify an element and must be unique inside the document. originalid is used to mark the identifier that the structure used to have in the

Διαβάστε περισσότερα

Physical DB Design. B-Trees Index files can become quite large for large main files Indices on index files are possible.

Physical DB Design. B-Trees Index files can become quite large for large main files Indices on index files are possible. B-Trees Index files can become quite large for large main files Indices on index files are possible 3 rd -level index 2 nd -level index 1 st -level index Main file 1 The 1 st -level index consists of pairs

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Lecture 34 Bootstrap confidence intervals

Lecture 34 Bootstrap confidence intervals Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α

Διαβάστε περισσότερα

Paper Reference. Paper Reference(s) 1776/04 Edexcel GCSE Modern Greek Paper 4 Writing. Thursday 21 May 2009 Afternoon Time: 1 hour 15 minutes

Paper Reference. Paper Reference(s) 1776/04 Edexcel GCSE Modern Greek Paper 4 Writing. Thursday 21 May 2009 Afternoon Time: 1 hour 15 minutes Centre No. Candidate No. Paper Reference(s) 1776/04 Edexcel GCSE Modern Greek Paper 4 Writing Thursday 21 May 2009 Afternoon Time: 1 hour 15 minutes Materials required for examination Nil Paper Reference

Διαβάστε περισσότερα

ΠΕΡΙΕΧΟΜΕΝΑ. Κεφάλαιο 1: Κεφάλαιο 2: Κεφάλαιο 3:

ΠΕΡΙΕΧΟΜΕΝΑ. Κεφάλαιο 1: Κεφάλαιο 2: Κεφάλαιο 3: 4 Πρόλογος Η παρούσα διπλωµατική εργασία µε τίτλο «ιερεύνηση χωρικής κατανοµής µετεωρολογικών µεταβλητών. Εφαρµογή στον ελληνικό χώρο», ανατέθηκε από το ιεπιστηµονικό ιατµηµατικό Πρόγραµµα Μεταπτυχιακών

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

þÿ ³¹µ¹½ º±¹ ±ÃÆ»µ¹± ÃÄ ÇÎÁ

þÿ ³¹µ¹½ º±¹ ±ÃÆ»µ¹± ÃÄ ÇÎÁ Neapolis University HEPHAESTUS Repository School of Economic Sciences and Business http://hephaestus.nup.ac.cy Master Degree Thesis 2014 þÿ ³¹µ¹½ º±¹ ±ÃÆ»µ¹± ÃÄ ÇÎÁ þÿµá³±ã ±Â Äɽ ½ à º ¼µ ɽ : Georgiou,

Διαβάστε περισσότερα

Πανεπιστήμιο Πειραιώς Τμήμα Πληροφορικής Πρόγραμμα Μεταπτυχιακών Σπουδών «Πληροφορική»

Πανεπιστήμιο Πειραιώς Τμήμα Πληροφορικής Πρόγραμμα Μεταπτυχιακών Σπουδών «Πληροφορική» Πανεπιστήμιο Πειραιώς Τμήμα Πληροφορικής Πρόγραμμα Μεταπτυχιακών Σπουδών «Πληροφορική» Μεταπτυχιακή Διατριβή Τίτλος Διατριβής Επίκαιρα Θέματα Ηλεκτρονικής Διακυβέρνησης Ονοματεπώνυμο Φοιτητή Σταμάτιος

Διαβάστε περισσότερα

Εργαστήριο Ανάπτυξης Εφαρμογών Βάσεων Δεδομένων. Εξάμηνο 7 ο

Εργαστήριο Ανάπτυξης Εφαρμογών Βάσεων Δεδομένων. Εξάμηνο 7 ο Εργαστήριο Ανάπτυξης Εφαρμογών Βάσεων Δεδομένων Εξάμηνο 7 ο Procedures and Functions Stored procedures and functions are named blocks of code that enable you to group and organize a series of SQL and PL/SQL

Διαβάστε περισσότερα

CRASH COURSE IN PRECALCULUS

CRASH COURSE IN PRECALCULUS CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter

Διαβάστε περισσότερα

The Euler Equations! λ 1. λ 2. λ 3. ρ ρu. E = e + u 2 /2. E + p ρ. = de /dt. = dh / dt; h = h( T ); c p. / c v. ; γ = c p. p = ( γ 1)ρe. c v.

The Euler Equations! λ 1. λ 2. λ 3. ρ ρu. E = e + u 2 /2. E + p ρ. = de /dt. = dh / dt; h = h( T ); c p. / c v. ; γ = c p. p = ( γ 1)ρe. c v. hp://www.nd.ed/~gryggva/cfd-corse/ The Eler Eqaions The Eler Eqaions The Eler eqaions for D flow: + + p = x E E + p where Define E = e + / H = h + /; h = e + p/ Gréar Tryggvason Spring 3 Ideal Gas: p =

Διαβάστε περισσότερα

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Integrals in cylindrical, spherical coordinates (Sect. 15.7)

Integrals in cylindrical, spherical coordinates (Sect. 15.7) Integrals in clindrical, spherical coordinates (Sect. 5.7 Integration in spherical coordinates. Review: Clindrical coordinates. Spherical coordinates in space. Triple integral in spherical coordinates.

Διαβάστε περισσότερα

Risk! " #$%&'() *!'+,'''## -. / # $

Risk!  #$%&'() *!'+,'''## -. / # $ Risk! " #$%&'(!'+,'''## -. / 0! " # $ +/ #%&''&(+(( &'',$ #-&''&$ #(./0&'',$( ( (! #( &''/$ #$ 3 #4&'',$ #- &'',$ #5&''6(&''&7&'',$ / ( /8 9 :&' " 4; < # $ 3 " ( #$ = = #$ #$ ( 3 - > # $ 3 = = " 3 3, 6?3

Διαβάστε περισσότερα

MSM Men who have Sex with Men HIV -

MSM Men who have Sex with Men HIV - ,**, The Japanese Society for AIDS Research The Journal of AIDS Research HIV,0 + + + + +,,, +, : HIV : +322,*** HIV,0,, :., n,0,,. + 2 2, CD. +3-ml n,, AIDS 3 ARC 3 +* 1. A, MSM Men who have Sex with Men

Διαβάστε περισσότερα

Cambridge International Examinations Cambridge International General Certificate of Secondary Education

Cambridge International Examinations Cambridge International General Certificate of Secondary Education Cambridge International Examinations Cambridge International General Certificate of Secondary Education *4358398658* GREEK 0543/04 Paper 4 Writing May/June 2015 1 hour Candidates answer on the Question

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

*2354431106* GREEK 0543/02 Paper 2 Reading and Directed Writing May/June 2009

*2354431106* GREEK 0543/02 Paper 2 Reading and Directed Writing May/June 2009 UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Secondary Education *2354431106* GREEK 0543/02 Paper 2 Reading and Directed Writing May/June 2009 1 hour 30 minutes

Διαβάστε περισσότερα

The Student s t and F Distributions Page 1

The Student s t and F Distributions Page 1 The Suden s and F Disribuions Page The Fundamenal Transformaion formula for wo random variables: Consider wo random variables wih join probabiliy disribuion funcion f (, ) simulaneously ake on values in

Διαβάστε περισσότερα

Paper Reference. Paper Reference(s) 6665/01 Edexcel GCE Core Mathematics C3 Advanced. Thursday 11 June 2009 Morning Time: 1 hour 30 minutes

Paper Reference. Paper Reference(s) 6665/01 Edexcel GCE Core Mathematics C3 Advanced. Thursday 11 June 2009 Morning Time: 1 hour 30 minutes Centre No. Candidate No. Paper Reference(s) 6665/01 Edexcel GCE Core Mathematics C3 Advanced Thursday 11 June 2009 Morning Time: 1 hour 30 minutes Materials required for examination Mathematical Formulae

Διαβάστε περισσότερα

+ +33* ,**0,0 / // cm *

+ +33* ,**0,0 / // cm * 1+ *3 1,+,/+ * +,, - - - + +32+ *0,0 / // cm cm - / +30+ +32* 0 +33+ : Key wors: long-erm observaion, fros eph, groun freezing, snow cover perio, hawing of frozen soil + - / + +33* + * 2//* - +2 2, +*-

Διαβάστε περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα