Time Dependent Quadratic Demand Inventory Models when Delay in Payments is Acceptable

Size: px
Start display at page:

Download "Time Dependent Quadratic Demand Inventory Models when Delay in Payments is Acceptable"

Transcription

1 Intrntionl OPEN ACCESS Journl Of odrn Enginring Rsr IJER im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl R. Vnktswrlu,. S. Rddy GIA Sool of Intrntionl Businss, GIA Univrsity, Visktnm 0 0, Indi BVSR Enginring Collg, Cimkurty - 6, Indi Astrt: An EOQ modl is onstrutd for dtriorting itms wit tim dndnt qudrti dmnd rt. It is ssumd tt t dtriortion rt is onstnt nd t sulir offrs is rtilr t rdit riod to sttl t ount of t rourmnt units. o solv t modl it is furtr ssumd tt sortgs r not llowd nd t rlnismnt rt is instntnous. W v rsntd t modls undr two diffrnt snrios, viz., it offrd rdit riod is lss tn or qul to t yl tim nd ii t offrd rdit riod y t sulir to t rtilr for sttling t ount is grtr tn yl tim. ojtiv is to minimiz t rtilrs totl invntory ost. Slvg vlu is lso tkn to s its fft on t totl ost. A numril xml is givn to study t fft of llowl rdit riod nd t totl ost of t rtilr. Ky words: Qudrti dmnd, risl, onstnt dtriortion, trd rdit, olding ost. I. Introdution It is wll known tt trd rdit oliy is t most fftiv wy of sulir to nourg rtilr to uy mor goods nd to ttrt mor rtilrs. rd rdit n lso usd s multi-ftd mrkting mngmnt or rltionsi mngmnt tool wi givs som informtion to t mrkt or to uyr out t firm or its roduts or its futur lns. EOQ modl dvlod y Wilson ws sd on t ssumtion tt t rtilr will y for t itms s soon s it is rivd y t systm. In rlity t sulir my offr som rdit riod to t rtilr to sttl t ounts in rsonl tim riod. us t dly in ymnt n trtd s kind of ri disount to t rtilr. rltionsi twn invntory oliy nd rdit oliy in t ontxt of t lssil lot siz modl ws studid y Hly nd Higgins 97. Cmn t l. 98 dvlod n onomi ordr quntity modl wi onsidrs ossil rdit riods llowl y sulirs. is modl is sown to vry snsitiv to t lngt of t rmissil rdit riod nd to t rltionsi twn t rdit riod nd invntory lvl. Dvis nd Gitr 98 dvlod otiml ordr quntitis for firms tt r offrd on tim oortunity to dly ymnt for n ordr of ommodity. A mtmtil modl is dvlod y Goyl 98 wn sulir nnouns rdit riod in sttling t ount, so tt no intrst rgs r yl from t outstnding mount if t ount is sttld witin t llowl dly riod. S t l. 988 xtndd t ov modl y llowing sortgs. ndl nd Pujdr 989, v studid Goyl 98 modl y inluding intrst rnd from t sls rvnu on t stok rmining yond t sttlmnt riod. Crlson n d Roussu 989 xmind EOQ undr dt trms sulir rdit y rtitioning rrying ost into finnil ost nd vril olding osts. Cung nd Hung 00 xtndd Goyl 98 modl wn rlnismnt rt is finit. Dlln 986, 988, Wrd nd Cmn 987, Cmn nd Wrd 988 rgud tt t usul ssumtions s to t inidn nd t vlu of t invntory invstmnt oortunity ost md y t trditionl invntory tory r orrt nd lso stlisd tt if trd rdit surlus is tkn into ount, t otiml ordring quntitis drss rtr tn inrs. Cung 998 stlisd t onvxity of t totl nnul vril o s t funtion for otiml onomi ordr quntity undr onditions of rmissil dly in ymnts. Jml t l. 000 disussd t rolm in wi t rtilr n y t sulir itr t t nd of rdit riod or ltr inurring intrst rgs on t unid ln for t ovrdu riod. Srkr t l. 00 otind otiml ymnt tim undr rmissil dly in ymnts wn units in n invntory r sujt to dtriortion. Ad nd Jggi 00 onsidrd t sllr-uyr nnl in wi t nd dmnd is ri snsitiv nd t sulr offrs trd rdit to t uyr. Sinn nd Hwng 00 dlt wit t rolm of dtrmining t rtilr s otiml ri nd ordr siz simultnously undr t ondition of ordr siz dndnt dly in ymnts. It is ssumd tt t lngt of t rdit riod is funtion of t rtilr s ordr siz nd lso t dmnd rt is funtion of t slling ri. Cung t l. 00 dtrmind t IJER ISSN: Vol. Iss. r. 0

2 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl onomi ordr quntity undr onditions of rmissil dly in ymnts wr t dly in ymnts dnds on t quntity ordrd wn t ordr quntity is lss tn t quntity t wi t dly in ymnts is rmittd, t ymnt for t itm must md immditly. Otrwis, t fixd rdit riod is llowd. Hung 007 xmind otiml rtilr s rlnismnt disions in t EOQ modl undr t w o lvls of trd rdit oliy y ssuming tt t sulir would offr t rtilr rtilly rmissil dly in ymnts wn t ordr quntity is smllr tn rdtrmind quntity. ng t. l. 007 drivd rtilr s otiml ordring oliis wit trd rdit finning. litrtur is rlt in t fild of trd-rdit. Prviously svrl onomi ordr quntity invntory modls wr dvlod wit trd-rdit nd vry fw rodution invntory modls wr dvlod undr llowl dly in ymnt. All ts works wr sd on t ssumtion tt t dmnd rt is itr linr or xonntil funtion of tim. Svrl utors rgud tt, in rlisti trms, t dmnd nd not follow itr linr or xonntil trnd. So, it is rsonl to ssum tt t dmnd rt, in rtin ommoditis, is du to ssonl vritions my follow qudrti funtion of tim [i.., Dt = + t + t ; 0, 0, 0 ]. funtionl form of tim-dndnt qudrti dmnd xlins t lrtd rtrdd growt/dlin in t dmnd ttrns wi my ris du to ssonl dmnd rt Knr nd Cuduri 00. W my xlin diffrnt tys of rlisti dmnd ttrns dnding on t signs of nd. Bndri nd Srm 000 v studid singl riod invntory rolm wit qudrti dmnd distriution undr t influn of mrkting oliis. Knr nd Cuduri 00 v disussd n ordrlvl invntory rolm wit t dmnd rt rrsntd y ontinuous qudrti funtion of tim. It is wll known tt t dmnd for sr rts of nw ro lns, omutr is of dvnd omutr mins, t. inrs vry ridly wil t dmnds for srs of t osolt ro lns, omutrs t. drs vry ridly wit tim. is ty of nomn n wll ddrssd y invntory modls wit qudrti dmnd rt. Sn nd Cuduri 00 v dvlod stok-rviw invntory modl for risl itms wit uniform rlnismnt rt nd stok-dndnt dmnd. Rntly, Gos nd Cuduri 00 v dvlod n invntory modl for dtriorting itm ving n instntnous suly, qudrti tim-vrying dmnd nd sortgs in invntory. y v usd two-rmtr Wiull distriution to rrsnt t tim to dtriortion. Vnktswrlu nd on 0 v dvlod invntory modls for dtriorting itms wit tim dndnt qudrti dmnd nd slvg vlu. Rntly Vnktswrlu nd on 0 studid invntory modl for tim vrying dtriortion nd ri dndnt qudrti dmnd wit slvg vlu. In litrtur w sldom find on t invntory modls wit trd rdit oliy for risl itms wit tim dndnt qudrti dmnd rt. us, in tis r, w wis to dvlo mtmtil modl wn t units in n invntory r sujtd to onstnt dtriortion rt nd t dmnd rt follows tim dndnt qudrti funtion. It is ssumd tt t sulir offrs rdit riod to t rtilr to sttl t ount. W v lso onsidrd t slvg vlu for dtriorting units of t invntory. Snsitivity nlysis is rsntd wit numril xml. II. Assumtions nd Nottions following ssumtions r usd to dvlo t modl: systm dl wit singl itm dmnd rt R is tim dndnt qudrti dmnd rlnismnt rt is infinit. ld tim is zro nd sortgs r not llowd. slvg vlu, 0 is ssoitd to dtriortd units during t yl tim. Hr is t urs ost of n itm. following nottions r usd to dvlo t modl: Dmnd rt R t t tim t is ssumd to R t t t 0, 0, 0. Hr is t initil rt of dmnd, is t initil rt of ng of t dmnd nd is t lrtion of dmnd rt. θ 0 is t onstnt rt of dtriortion. A is t ordring ost r ordr. S is t slling ri r itm S. Qt is t ordring quntity t tim t=0 is r unit olding ost xluding intrst rgs r unit r yr. I is t intrst rnd r yr. I is t intrst rgd r stoks r yr. IJER ISSN: Vol. Iss. r. 0 6

3 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl is t rmissil dly in sttling in t ounts, 0<<. is t intrvl twn two sussiv ordrs K is t totl ost r unit tim. III. Formultion nd Solution of t odl ojtiv of t modl is to dtrmin t totl ost of t systm nd t dmnd rt of itms is tim dndnt qudrti funtion wit onstnt rt of dtriortion. Lt It t invntory lvl t tim t 0 t. invntory dlts du to dtriortion nd t dmnd, nd tn t diffrntil qution wi dsris t invntory lvl t tim t is givn y di t I t R t, 0 t dt wr R t t t nd i I 0 wn t, ii I 0 Q. solution of qution using t oundry ondition I 0 is givn y I t t t t t t t t wr w tkn sris xnsion nd ignord t sond nd igr owrs of θ s θ is smll. Sin I 0 Q, w otin Q t numr of dtriortd units D during on yl is givn y D Q R ost du to dtriortion is givn y CD D 6 slvg vlu of dtriortd units is SV CD 7 invntory olding ost during t yl is IHC 0 I t dt 0 0 Ordring ost is givn y 0 0 t OC A 9 Following Nit S nd Pndy 008, w v onsidrd t following two ss for intrst rgd nd t intrst rnd: Cs-: offrd rdit riod is lss tn or qul to t yl tim i..,. 8 Figur- IJER ISSN: Vol. Iss. r. 0 6

4 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl Cs-: offrd rdit riod for sttling t ount is grtr tn t yl tim i..,. Figur-. Cs- rtilr n sl units during [0, ] t sl ri: S r unit wi n ut n intrst rt I r unit r nnum in n intrst ring ount. So t totl intrst rnd during [0, ] is IE R t tdt 0 0 Now, in t riod [, ], t sulir will rg t intrst to t rtilr on t rmining stok t t rt I r unit r nnum. Hn, totl intrst rgs yl y t rtilr during [, ] is IC I t dt Now, t totl ost K r tim unit is K OC IHC CD IE IC SV A Sin our ojtiv is to minimiz t totl ost K r unit tim, t nssry ondition for t totl ost to minimum is K 0 i.., K X X X X X X 6 wr X 0 X IJER ISSN: Vol. Iss. r. 0 6

5 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl IJER ISSN: Vol. Iss. r A X X X X From qution, w v A W solv t ov qution for otiml using AHCAD. For tis otiml, t totl ost is minimum only if 0 K... Numril Exml o dmonstrt t fftivnss of t modls dvlod, numril xml is tkn wit t following vlus for t rmtrs: =00 = =0. = S= =0. I =0. I = =0 A=00 For t ov xml, it is found tt t otimlity onditions r stisfid in ll t following four ss for ll viz., i > 0, > 0 nd > 0 i.., lrtd growt modl ii > 0, < 0 nd > 0 i.., rtrdd growt modl iii > 0, < 0 nd < 0 i.., lrtd dlin modl iv > 0, > 0 nd < 0 i.., rtrdd dlin modl AHCAD outut is givn in l- troug tl- wi sows t vritions of t dtriortion rt, nd t dly riod,. From t outut sown in tl- to tl-, it is osrvd tt t uyr s totl ost drss wit t inrs in dly riod for fixd vlu of dtriortion rt. For xml, if t dtriortion rt is 0.0, t totl ost K drss wn t dly in ymnt inrss from dys to dys in ll t modls. W my ttriut tis du to t intrst rnd y uyr wo rns mor rvnu from t sold itms. Furtr, ross ll t modls, it n notid tt t uyr s totl ost inrss wn t rt of dtriortion inrss from 0.0 to 0.0.

6 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl S.No. l-: > 0, > 0 nd > 0 i.., lrtd growt modl = dys =0 dys = dys = dys K K K K S.No. l-: > 0, < 0 nd > 0 i.., rtrdd growt modl = dys =0 dys = dys = dys K K K K S.No. l-: > 0, < 0 nd < 0 i.., lrtd dlin modl = dys =0 dys = dys = dys K K K K S.N o. l-: > 0, > 0 nd < 0 i.., rtrdd dlin modl = dys =0 dys = dys = dys K K K K IJER ISSN: Vol. Iss. r. 0 6

7 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl IJER ISSN: Vol. Iss. r Cs- In tis s, t intrst rnd is R tdt t R IE 0 nd t intrst rgs is zro 0.,. IC i totl ost K r tim unit is SV IC IE CD IHC OC K A 6 Sin our ojt is to minimiz t totl ost K r unit tim, t nssry ondition for t totl ost to minimum is 0 K i.., 6 K 7 wr A 6 Now from qution 7, ,. A i 8 wi minimiss t K only if 0 K for ll vlus of.

8 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl.. Numril Exml On gin w onsidr t vlus of t rmtrs s givn in... For ts vlus, t outut is rsntd in l- troug l-8. It n osrvd tt t viour of ts modls, in t s of >, is quit similr to t rsults otind s in t s of <. It is lso osrvd tt t totl ost K is lss tn K wn t dly riod is inrsd from dys to dys. us it n onludd tt t totl ost in ot t ss is lmost sm wn t dly riod inrss from dys to dys. For =, w v K K Z Z Z wr Z A 0 Z Z. IV. Snsitivity Anlysis > 0, > 0 nd > 0 i.., lrtd growt modl W now study t snsitivity of t modls dvlod in.. nd.. to xmin t imlitions of undrstimting nd ovrstimting t rmtrs,,, I, I, nd on otiml vlu of yl tim nd totl ost of t systm. Hr w v tkn t dtriortion rt s θ=0.0 nd t dly riod is 0 dys. snsitiv nlysis is rformd y nging of t rmtr y -0%, -0%, +0% nd +0% tking on rmtr t tim nd king t rmining rmtrs r unngd. rsults r sown in l-9 nd l-0. following intrsting osrvtions r md from t ov tls: Cs- i Inrs drs in rmtrs, I, nd drss inrss t yl tim wr s t totl ost inrss drss wit t inrs drs in ts rmtrs. Howvr t rt of inrs/drs is mor ronound in s of t ngs md in t rmtrs nd wi indit tt t otiml vlus of yl tim nd t totl ost r lss snsitiv to I nd. ii fft of t rmtrs, nd I on t otimum vlu of t yl tim nd t totl ost is similr ut t rt of ng is insignifint. iii slvg vlu of dtriortd itms is not sown mu fft on t otiml totl ost of t systm. Cs- iv Inrs drs in rmtrs, nd drss inrss t yl tim wr s t totl ost inrss drss wit t inrs drs in ts rmtrs. Howvr t rt of inrs/drs is mor ronound in s of t ngs md in t rmtrs nd nd lss snsitiv to t ngs in v nd K r lss snsitiv to t ngs md in t rmtr nd modrtly snsitiv to I. vi fft of slvg vlu is not so signifint on otiml oliis. V. Conlusions min ojtiv of tis study is t formultion of dtrministi invntory modl for itms wi v onstnt dtriortion rt nd follows tim dndnt qudrti dmnd rt wn sulir offrs sifi rdit riod. totl ost of t systm is lultd wn sortgs r not llowd. Slvg vlu is onsidrd wil lulting t totl ost of t systm. Snsitivity of t modls is lso disussd. IJER ISSN: Vol. Iss. r. 0 67

9 S.N o im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl l-: > 0, > 0 nd > 0 i.., lrtd growt modl = dys =0 dys = dys = dys K K K K S.No. l-6: > 0, < 0 nd > 0 i.., rtrdd growt modl = dys =0 dys = dys = dys K K K K S.No. l-7: > 0, < 0 nd < 0 i.., lrtd dlin modl = dys =0 dys = dys = dys K K K K S.No. l-8: > 0, > 0 nd < 0 i.., rtrdd dlin modl = dys =0 dys = dys = dys K K K K IJER ISSN: Vol. Iss. r. 0 68

10 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl Cs- : l-9 S.No Prmtr I I γ % Cng % Cng in % Cng in K -0% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % IJER ISSN: Vol. Iss. r. 0 69

11 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl Cs- : l-0 S.No Prmtr I I γ % Cng % Cng in % Cng in K -0% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % REFERENCES [] Hlly, C. G. & Higgins, R. C., 97. Invntory Poliy nd rd Crdit Finning. ngmnt Sin. 0, 6 7. [] Cmn, C. B., Wrd, S. C., Coor, D. F. & Pg,. J., 98. Crdit Poliy nd Invntory Control. Journl of t Ortionl Rsr Soity., [] Dvis, R. A. & Gitr, N. 98. Otiml Ordring Poliis Undr Conditions of Extndd Pymnt Privilgs, ngmnt Sins., [] Goyl, S. K. 98. Eonomi Ordr Quntity Undr Conditions of Prmissil Dly in Pymnt. Journl of t Ortionl Rsr Soity. 6, 8. [] S, V. R., Ptl, H. C. & S.. K., 988. Eonomi Ordring Quntity wn Dly in Pymnts of Ordrs nd Sortgs r Prmittd. Gujrt Sttistil Rviw., 6.6 [6] ndl, B. N. & Pujdr, S Som EOQ odls Undr Prmissil Dly in Pymnts. Intrntionl Journl of ngmnts Sin,, [7] ndl, B.N. & Pujdr, S An Invntory odl f or Dtriorting Itms nd Stok Dndnt Consumtion Rt. Journl of Ortionl Rsr Soity. 0, IJER ISSN: Vol. Iss. r. 0 70

12 im Dndnt Qudrti Dmnd Invntory odls wn Dly in Pymnts is Atl [8] Crlson,.L. & Roussu, J.J EOQ undr Dt-rms Sulir Crdit. Journl of t Ortionl Rsr Soity. 0,. [9] Cung, K.J. & Hung,.F. 00. Otiml Cyl im for EPQ Invntory odl Undr Prmissil Dly in Pymnts. Intrntionl Journl of Prodution Eonomis. 8, [0] Dlln, H. G., 986. Invntory Control nd rd Crdit. Journl of t Ortionl Rsr Soity, 7, 8. [] Dlln, H. G., 988: Invntory Control nd rd Crdit rjoindr. Journl of t Ortionl Rsr Soity. 9, 8 9. [] Wrd, S. C. & Cmn, C. B., 987. Invntory Control nd rd Crdit rly to Dlln. Journl of Ortionl t Rsr Soity., [] Cmn, C. B. & Wrd, S. C., 988: Invntory Control nd rd Crdit A Futur Rly. Journl Of Ortionl Rsr Soity, 9, 9 0. [] Cung, K. J., 998. A orm on t Dtriortion of Eonomi Ordr Quntity Undr Conditions of Prmissil Dly in Pymnts. Comutrs nd Ortions Rsr.,9. [] Jml, A..., Srkr, B. R & Wng, S Otiml Pymnt im for Rtilr Undr Prmittd Dly of Pymnt y t Wolslr. Intrntionl Journl of Prodution Eonomis. 66, [6] Srkr, B. R., Jml, A... & Wng, S., 00. Otiml Pymnt im Undr Prmissil Dly for Prodution wit Dtriortion. Prodution Plnning nd Control., [7] Ad, P.L. & Jggi, C.K. 00. A Joint Aro for Stting Unit Pri nd t Lngt of t Crdit Priod for Sllr wn End Dmnd is Pri Snsitiv. Intrntionl Journl of Prodution Eonomis. 8,. [8] Sinn, S. W. & Hwng, H., 00. Rtilr s Priing nd Lot Sizing Poliy for Exonntilly Dtriorting Produts undr t Conditions of Prmissil Dly in Pymnts. Comutrs nd Industril Enginring. 6, 9 7. [9] Cung, K.J., Goyl, S.K. & Hung, ung-fu 00. Otiml Invntory Poliis Undr Prmissil Dly in Pymnts Dnding on t Ordring Quntity. Intrntionl Journl of Prodution Eonomis. 9, 0. [0] Hung,.F Otiml Rtilr s Rlnismnt Disions in t EPQ odl undr wo Lvls of rd Crdit Poliy. Euron Journl of Ortionl Rsr. 76, 9 9. [] ng, J.., Cng, C.., Crn,.S. & Cn,.L Rtilr s Otiml Ordring Poliis wit rd Crdit Finning. Intrntionl Journl of Systm Sin. 8, [] Knr, S. & Cuduri. K.S. 00. A Not on Ordr-Lvl Invntory odl for Dtriorting Itm wit im- Dndnt Qudrti Dmnd. Comutrs nd Ortions Rsr. Vol.0, [] Bndri, R.. & Srm, P.K A Singl Priod Invntory Prolm wit Qudrti Dmnd Distriution undr t Influn of rkt Poliis. Eng. Sin 7-7. [] Sisnkr Sn & Cudry, K.S. 00. A Stok-Rviw EOQ odl wit Stok-Dndnt Dmnd, Qudrti Dtriortion Rt. Advnd odlling nd Otimiztion. 6, -. [] Gos, S.K. & Cuduri, K.S. 00. An Ordr Lvl Invntory odl for Dtriorting Itm wit Wiull Dtriortion, im-qudrti Dmnd nd Sortgs. Advnd odlling nd Otimiztion. 6, -. [6] Vnktswrlu, R & on.r.0. Invntory odls for Dtriorting Itms wit im Dndnt Qudrti Dmnd nd Slvg Vlu. Intrntionl Journl of Alid tmtil Sins. -, -8. [7] Vnktswrlu,R. & on,r. 0. An Invntory odl for im Vrying Dtriortion nd Pri Dndnt Qudrti Dmnd wit Slvg Vlu. Journl of Comuttionl nd Alid tmtis. :-7. IJER ISSN: Vol. Iss. r. 0 7

Problem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P

Problem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P rol. Using t dfinitions of nd nd t first lw of trodynis nd t driv t gnrl rltion: wr nd r t sifi t itis t onstnt rssur nd volu rstivly nd nd r t intrnl nrgy nd volu of ol. first lw rlts d dq d t onstnt

More information

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value Asr Rsr Journl of Mngmn Sins ISSN 9 7 Vol. 8- Jnury Rs. J. Mngmn Si. Invnory Mngmn Modl wi udri Dmnd Vril Holding Cos wi Slvg vlu Mon R. nd Vnkswrlu R. F-Civil Dp of Mmis Collg of Miliry Enginring Pun

More information

Retailer s Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market

Retailer s Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market Applid Mathmatial Sins, Vol. 4, 00, no., 0-00 Rtailr s Priing and Ordring Stratgy for Wibull Distribution Dtrioration undr Trad Crdit in Dlining Markt Nita H. Shah and Nidhi Raykundaliya Dpartmnt of Mathmatis,

More information

Price Dependent Quadratic Demand Inventory Models with Variable Holding Cost and Inflation Rate

Price Dependent Quadratic Demand Inventory Models with Variable Holding Cost and Inflation Rate Pric Dndn Qudric Dmnd nvnory Modls wi Vril Holding os nd nlion R SBN: 978-8-97-8-9 R. Vnswrlu Gim Univrsiy rngvjl_v@yoo.co.in M. S. Rddy BVSR Enginring ollg nvnsrinu@gmil.com n m is md o dvlo n invnory

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

International Journal of Operations Research Vol. 13, No. 2, (2016)

International Journal of Operations Research Vol. 13, No. 2, (2016) Intrnational Journal of Oprations Rsarh Intrnational Journal of Oprations Rsarh Vol. 13, o., 035 046 (016) Optimal ordring poliy with non- inrasing dmand for tim dpndnt dtrioration undr fixd lif tim prodution

More information

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion

More information

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review rmup CSE 7: AVL trs rmup: ht is n invrint? Mihl L Friy, Jn 9, 0 ht r th AVL tr invrints, xtly? Disuss with your nighor. AVL Trs: Invrints Intrlu: Exploring th ln invrint Cor i: xtr invrint to BSTs tht

More information

, between the vertical lines x a and x b. Given a demand curve, having price as a function of quantity, p f (x) at height k is the curve f ( x,

, between the vertical lines x a and x b. Given a demand curve, having price as a function of quantity, p f (x) at height k is the curve f ( x, Clculus for Businss nd Socil Scincs - Prof D Yun Finl Em Rviw vrsion 5/9/7 Chck wbsit for ny postd typos nd updts Pls rport ny typos This rviw sht contins summris of nw topics only (This rviw sht dos hv

More information

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d)

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d) Functions nd Grps. () () (c) - - - O - - - O - - - O - - - - (d) () (f) - - O - 7 6 - - O - -7-6 - - - - - O. () () (c) (d) - - - O - O - O - - O - -. () G() f() + f( ), G(-) f( ) + f(), G() G( ) nd G()

More information

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1 Prctic qustions W now tht th prmtr p is dirctl rltd to th mplitud; thrfor, w cn find tht p. cos d [ sin ] sin sin Not: Evn though ou might not now how to find th prmtr in prt, it is lws dvisl to procd

More information

λ(p) D(t) = where we assume that = 1 where is the demand on

λ(p) D(t) = where we assume that = 1 where is the demand on Sudita Sinha., Intrnational Journal of Advancd Enginring Rsarch and Studis E-ISS49 8974 IJAERS/Vol. II/ Issu III/Aril-Jun, /6- Rsarch Par A EOQ ODEL WIH PROGRESSIVE PAYE SCHEE UDER DCF APPROACH WIH PRICE

More information

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4 Mt 166 WIR, Sprin 2012, Bnjmin urisp Mt 166 Wk in Rviw 2 Stions 1.1, 1.2, 1.3, & 1.4 1. S t pproprit rions in Vnn irm tt orrspon to o t ollowin sts. () (B ) B () ( ) B B () (B ) B 1 Mt 166 WIR, Sprin 2012,

More information

Formal Concept Analysis

Formal Concept Analysis Forml Conpt Anlysis Conpt intnts s losd sts Closur Systms nd Implitions 4 Closur Systms 0.06.005 Nxt-Closur ws dvlopd y B. Gntr (984). Lt M = {,..., n}. A M is ltilly smllr thn B M, if B A if th smllst

More information

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not

More information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 8: Effect of a Vertical Field on Tokamak Equilibrium

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 8: Effect of a Vertical Field on Tokamak Equilibrium .65, MHD Thory of usion Systms Prof. ridrg Lctur 8: Effct of Vrticl ild on Tokmk Equilirium Toroidl orc lnc y Mns of Vrticl ild. Lt us riw why th rticl fild is imortnt. 3. or ry short tims, th cuum chmr

More information

d e c b a d c b a d e c b a a c a d c c e b

d e c b a d c b a d e c b a a c a d c c e b FLAT PEYOTE STITCH Bin y mkin stoppr -- sw trou n pull it lon t tr until it is out 6 rom t n. Sw trou t in witout splittin t tr. You soul l to sli it up n own t tr ut it will sty in pl wn lt lon. Evn-Count

More information

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER ORDER DIFFERENTIAL EQUATIONS Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution

More information

COMP108 Algorithmic Foundations

COMP108 Algorithmic Foundations Grdy mthods Prudn Wong http://www.s.liv..uk/~pwong/thing/omp108/01617 Coin Chng Prolm Suppos w hv 3 typs of oins 10p 0p 50p Minimum numr of oins to mk 0.8, 1.0, 1.? Grdy mthod Lrning outoms Undrstnd wht

More information

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue:

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue: Inrnionl Journl on Rn nd Innovion rnds in Compuing nd Communiion ISSN: -869 Volum: Issu: 78 97 Dvlopmn of n EPQ Modl for Drioring Produ wih Sok nd Dmnd Dpndn Produion r undr Vril Crrying Cos nd Pril Bklogging

More information

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018 CSE 373: Mor on grphs; DFS n BFS Mihl L Wnsy, F 14, 2018 1 Wrmup Wrmup: Disuss with your nighor: Rmin your nighor: wht is simpl grph? Suppos w hv simpl, irt grph with x nos. Wht is th mximum numr of gs

More information

(a) v 1. v a. v i. v s. (b)

(a) v 1. v a. v i. v s. (b) Outlin RETIMING Struturl optimiztion mthods. Gionni D Mihli Stnford Unirsity Rtiming. { Modling. { Rtiming for minimum dly. { Rtiming for minimum r. Synhronous Logi Ntwork Synhronous Logi Ntwork Synhronous

More information

Constrained Single Period Stochastic Uniform Inventory Model With Continuous Distributions of Demand and Varying Holding Cost

Constrained Single Period Stochastic Uniform Inventory Model With Continuous Distributions of Demand and Varying Holding Cost Journal of Matmati Statiti (): 334-338, 6 ISSN 549-3644 6 Sin Publiation Contraind Singl Priod Stoati Uniform Invntory Modl Wit Continuou Ditribution of Dm Varying Holding Cot Hala, A. Frgany M. E. El-Saadani

More information

Designing A Concrete Arch Bridge

Designing A Concrete Arch Bridge This is th mous Shwnh ri in Switzrln, sin y Rort Millrt in 1933. It spns 37.4 mtrs (122 t) n ws sin usin th sm rphil mths tht will monstrt in this lsson. To pro with this lsson, lik on th Nxt utton hr

More information

The University of Sydney MATH 2009

The University of Sydney MATH 2009 T Unvrsty o Syny MATH 2009 APH THEOY Tutorl 7 Solutons 2004 1. Lt t sonnt plnr rp sown. Drw ts ul, n t ul o t ul ( ). Sow tt s sonnt plnr rp, tn s onnt. Du tt ( ) s not somorp to. ( ) A onnt rp s on n

More information

The Z transform techniques

The Z transform techniques h Z trnfor tchniqu h Z trnfor h th rol in dicrt yt tht th Lplc trnfor h in nlyi of continuou yt. h Z trnfor i th principl nlyticl tool for ingl-loop dicrt-ti yt. h Z trnfor h Z trnfor i to dicrt-ti yt

More information

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h

More information

12. Traffic engineering

12. Traffic engineering lt2.ppt S-38. Introution to Tltrffi Thory Spring 200 2 Topology Pths A tlommunition ntwork onsists of nos n links Lt N not th st of nos in with n Lt J not th st of nos in with j N = {,,,,} J = {,2,3,,2}

More information

Ch 1.2: Solutions of Some Differential Equations

Ch 1.2: Solutions of Some Differential Equations Ch 1.2: Solutions of Som Diffrntil Equtions Rcll th fr fll nd owl/mic diffrntil qutions: v 9.8.2v, p.5 p 45 Ths qutions hv th gnrl form y' = y - b W cn us mthods of clculus to solv diffrntil qutions of

More information

MAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017

MAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017 MAT3707/201/1/2017 Tutoril lttr 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS MAT3707 Smstr 1 Dprtmnt o Mtmtil Sins SOLUTIONS TO ASSIGNMENT 01 BARCODE Din tomorrow. univrsity o sout ri SOLUTIONS TO ASSIGNMENT

More information

The Angular Momenta Dipole Moments and Gyromagnetic Ratios of the Electron and the Proton

The Angular Momenta Dipole Moments and Gyromagnetic Ratios of the Electron and the Proton Journl of Modrn hysics, 014, 5, 154-157 ublishd Onlin August 014 in SciRs. htt://www.scir.org/journl/jm htt://dx.doi.org/.436/jm.014.51415 Th Angulr Momnt Diol Momnts nd Gyromgntic Rtios of th Elctron

More information

OpenMx Matrices and Operators

OpenMx Matrices and Operators OpnMx Mtris n Oprtors Sr Mln Mtris: t uilin loks Mny typs? Dnots r lmnt mxmtrix( typ= Zro", nrow=, nol=, nm="" ) mxmtrix( typ= Unit", nrow=, nol=, nm="" ) mxmtrix( typ= Int", nrow=, nol=, nm="" ) mxmtrix(

More information

Instructions for Section 1

Instructions for Section 1 Instructions for Sction 1 Choos th rspons tht is corrct for th qustion. A corrct nswr scors 1, n incorrct nswr scors 0. Mrks will not b dductd for incorrct nswrs. You should ttmpt vry qustion. No mrks

More information

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7 CIVL / -D Boundr Vlu Prolms - Rctngulr Elmnts / RECANGULAR ELEMENS - In som pplictions, it m mor dsirl to us n lmntl rprsnttion of th domin tht hs four sids, ithr rctngulr or qudriltrl in shp. Considr

More information

Integral Calculus What is integral calculus?

Integral Calculus What is integral calculus? Intgral Calulus What is intgral alulus? In diffrntial alulus w diffrntiat a funtion to obtain anothr funtion alld drivativ. Intgral alulus is onrnd with th opposit pross. Rvrsing th pross of diffrntiation

More information

CS 103 BFS Alorithm. Mark Redekopp

CS 103 BFS Alorithm. Mark Redekopp CS 3 BFS Aloritm Mrk Rkopp Brt-First Sr (BFS) HIGHLIGHTED ALGORITHM 3 Pt Plnnin W'v sn BFS in t ontxt o inin t sortst pt trou mz? S?? 4 Pt Plnnin W xplor t 4 niors s on irtion 3 3 3 S 3 3 3 3 3 F I you

More information

Weighted Graphs. Weighted graphs may be either directed or undirected.

Weighted Graphs. Weighted graphs may be either directed or undirected. 1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur

More information

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0)

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0) An ltntiv to th us of hypolic dclin cuvs Ppd y: Sfim Ltd S E R A F I M info@sfimltd.com P. +44 (02890 4206 www.sfimltd.com Contnts Contnts... i Intoduction... Initil ssumptions... Solving fo cumultiv...

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1 G( x)] = θp( R) + ( θ R)[1 G( R)] pg 15, problm 6: dmnd of

More information

Floating Point Number System -(1.3)

Floating Point Number System -(1.3) Floting Point Numbr Sstm -(.3). Floting Point Numbr Sstm: Comutrs rrsnt rl numbrs in loting oint numbr sstm: F,k,m,M 0. 3... k ;0, 0 i, i,...,k, m M. Nottions: th bs 0, k th numbr o igits in th bs xnsion

More information

Tangram Fractions Overview: Students will analyze standard and nonstandard

Tangram Fractions Overview: Students will analyze standard and nonstandard ACTIVITY 1 Mtrils: Stunt opis o tnrm mstrs trnsprnis o tnrm mstrs sissors PROCEDURE Skills: Dsriin n nmin polyons Stuyin onrun Comprin rtions Tnrm Frtions Ovrviw: Stunts will nlyz stnr n nonstnr tnrms

More information

Formulation of Seismic Active Earth Pressure of Inclined Retaining Wall Supporting c-ф Backfill

Formulation of Seismic Active Earth Pressure of Inclined Retaining Wall Supporting c-ф Backfill 01 IACSIT Coimbtor Confrns IPCSIT ol. 8 (01 (01 IACSIT Prss, Singpor Formultion of Sismi Ati Erth Prssur of Inlind Rtining Wll Supporting -Ф Bkfill Sim Ghosh 1 nd Strup Sngupt + 1 Assistnt Profssor, Ciil

More information

Study Of Superconductivity And Antiferromagnetism In Rare Earth Nickel Borocarbides (RNi 2 B 2 C)

Study Of Superconductivity And Antiferromagnetism In Rare Earth Nickel Borocarbides (RNi 2 B 2 C) IOSR Journl o Applid Pysis IOSR-JAP -ISS: 78-86.olum 9 Issu r. II y - Jun 7 PP 7-8 www.iosrjournls.org Study O Suprondutivity And Antirromgntism In Rr Ert il ororids Ri C r. Slil s nd Prti Sumn s prtmnt

More information

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano RIGHT-ANGLE WEAVE Dv mons Mm t look o ts n rlt tt s ptvly p sn y Py Brnkmn Mttlno Dv your mons nto trnls o two or our olors. FCT-SCON0216_BNB66 2012 Klm Pulsn Co. Ts mtrl my not rprou n ny orm wtout prmsson

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

learning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms

learning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms rp loritms lrnin ojtivs loritms your sotwr systm sotwr rwr lrn wt rps r in mtmtil trms lrn ow to rprsnt rps in omputrs lrn out typil rp loritms wy rps? intuitivly, rp is orm y vrtis n s twn vrtis rps r

More information

Floating Point Number System -(1.3)

Floating Point Number System -(1.3) Floting Point Numbr Sstm -(.3). Floting Point Numbr Sstm: Comutrs rrsnt rl numbrs in loting oint numbr sstm: F,k,m,M 0. 3... k ;0, 0 i, i,...,k, m M. Nottions: th bs 0, k th numbr o igts in th bs xnsion

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

A physical solution for solving the zero-flow singularity in static thermal-hydraulics

A physical solution for solving the zero-flow singularity in static thermal-hydraulics A ysicl solution for solving t zro-flow singulrity in sttic trml-ydrulics miing modls Dnil Bouskl Blig El Hfni EDF R&D 6, qui Wtir F-784 Ctou Cd, Frnc dnil.ouskl@df.fr lig.l-fni@df.fr Astrct For t D-D

More information

Research Scholar, Vinoba Bhave University, Hazaribag, Jharkhand

Research Scholar, Vinoba Bhave University, Hazaribag, Jharkhand Volum Issu July 0 ISSN: X Intrntionl Journl of Advnd Rsrh in Computr Sin nd Softwr Enginring Rsrh Ppr Avill onlin t: www.ijrss.om Dominting Funtion Thory from Nwton to Linitz s Approh of Indfinit Intgrtion

More information

Deteriorating Inventory Model for Waiting. Time Partial Backlogging

Deteriorating Inventory Model for Waiting. Time Partial Backlogging Applied Mthemticl Sciences, Vol. 3, 2009, no. 9, 42-428 Deteriorting Inventory Model for Witing Time Prtil Bcklogging Nit H. Shh nd 2 Kunl T. Shukl Deprtment of Mthemtics, Gujrt university, Ahmedbd. 2

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

BASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP

BASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP MO: PSM SY SI TIS SOWN SPRIN INRS OS TOP INNR W TS R OIN OVR S N OVR OR RIIITY. R TURS US WIT OPTION T SINS. R (UNOMPRSS) RR S OPTION (S T ON ST ) IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+)

More information

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem) 12/3/12 Outlin Prt 10. Grphs CS 200 Algorithms n Dt Struturs Introution Trminology Implmnting Grphs Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 1 Ciruits Cyl 2 Eulr

More information

Garnir Polynomial and their Properties

Garnir Polynomial and their Properties Univrsity of Cliforni, Dvis Dprtmnt of Mthmtis Grnir Polynomil n thir Proprtis Author: Yu Wng Suprvisor: Prof. Gorsky Eugny My 8, 07 Grnir Polynomil n thir Proprtis Yu Wng mil: uywng@uvis.u. In this ppr,

More information

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs Prt 10. Grphs CS 200 Algorithms n Dt Struturs 1 Introution Trminology Implmnting Grphs Outlin Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 2 Ciruits Cyl A spil yl

More information

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e) POW CSE 36: Dt Struturs Top #10 T Dynm (Equvln) Duo: Unon-y-Sz & Pt Comprsson Wk!! Luk MDowll Summr Qurtr 003 M! ZING Wt s Goo Mz? Mz Construton lortm Gvn: ollton o rooms V Conntons twn t rooms (ntlly

More information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

CS September 2018

CS September 2018 Loil los Distriut Systms 06. Loil los Assin squn numrs to msss All ooprtin prosss n r on orr o vnts vs. physil los: rport tim o y Assum no ntrl tim sour Eh systm mintins its own lol lo No totl orrin o

More information

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata CSE303 - Introduction to th Thory of Computing Smpl Solutions for Exrciss on Finit Automt Exrcis 2.1.1 A dtrministic finit utomton M ccpts th mpty string (i.., L(M)) if nd only if its initil stt is finl

More information

1 Introduction to Modulo 7 Arithmetic

1 Introduction to Modulo 7 Arithmetic 1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w

More information

BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY

BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SI TIS SOWN OS TOP SPRIN INRS INNR W TS R OIN OVR S N OVR OR RIIITY. R IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+) TRNSIVR. R. RR S OPTION (S T ON ST ) TURS US WIT OPTION T SINS. R (INSI TO

More information

The Optimal Cycle Time for EPQ Inventory Model of Deteriorating Items under Trade Credit Financing in the Fuzzy Sense

The Optimal Cycle Time for EPQ Inventory Model of Deteriorating Items under Trade Credit Financing in the Fuzzy Sense ntrnational Journal o Oration Rarh ntrnational Journal o Oration Rarh Vol 7, o, -4 ( h Otimal yl im or EPQ nvntory Modl o triorating tm undr rad rdit Finaning in th Fuzzy Sn Gour handra Mahata, and Anindya

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

Decimals DECIMALS.

Decimals DECIMALS. Dimls DECIMALS www.mthltis.o.uk ow os it work? Solutions Dimls P qustions Pl vlu o imls 0 000 00 000 0 000 00 0 000 00 0 000 00 0 000 tnths or 0 thousnths or 000 hunrths or 00 hunrths or 00 0 tn thousnths

More information

Rectangular Waveguides

Rectangular Waveguides Rtgulr Wvguids Wvguids tt://www.tllguid.o/wvguidlirit.tl Uss To rdu ttutio loss ig rquis ig owr C ort ol ov rti rquis Ats s ig-ss iltr Norll irulr or rtgulr W will ssu losslss rtgulr tt://www..surr..u/prsol/d.jris/wguid.tl

More information

1.60± ± ±0.07 S 1.60± ± ±0.30 X

1.60± ± ±0.07 S 1.60± ± ±0.30 X 02M557-01B - Pg 1 of 7 Produt Fmily: Prt Numbr Sris: Multilyr rmi itors Flxibl Trmintion ST Sris onstrution: Flxibl Trmintions NPO, X7R, X5R nd Y5V diltri mtrils Wr round ltrods 100% mtt tin ovr Ni trmintions

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 71: Eqution (.3) should rd B( R) = θ R 1 x= [1 G( x)] pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1

More information

Optimal ordering policies using a discounted cash-flow analysis when stock dependent demand and a trade credit is linked to order quantity

Optimal ordering policies using a discounted cash-flow analysis when stock dependent demand and a trade credit is linked to order quantity Amrican Jr. of Mathmatics and Scincs Vol., No., January 0 Copyright Mind Radr Publications www.ournalshub.com Optimal ordring policis using a discountd cash-flow analysis whn stock dpndnt dmand and a trad

More information

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY OWR OR F0 M NOT S0 RT OF FUNTI FL0 T0 OWR SULY SUSSIS T0 T0 WIR FOR 0 V OWR SULY SUSSIS T0 WIR FOR V 0 0 RT V0 RT V0. V RT V0 RT V0 NOT. V. V NOT +0 V 0 +0 V. V 0 FUNTI NOT L +0 V S FIUR - FILMNT N OVN

More information

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim's Alorithm Introution Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #33 3 Alorithm Gnrl Constrution Mik Joson (Univrsity o Clry)

More information

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

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

More information

CONTINUITY AND DIFFERENTIABILITY

CONTINUITY AND DIFFERENTIABILITY MCD CONTINUITY AND DIFFERENTIABILITY NCERT Solvd mpls upto th sction 5 (Introduction) nd 5 (Continuity) : Empl : Chck th continuity of th function f givn by f() = + t = Empl : Emin whthr th function f

More information

APPLICATIONS OF THE LAPLACE-MELLIN INTEGRAL TRANSFORM TO DIFFERNTIAL EQUATIONS

APPLICATIONS OF THE LAPLACE-MELLIN INTEGRAL TRANSFORM TO DIFFERNTIAL EQUATIONS Intrntionl Journl o Sintii nd Rrh Publition Volum, Iu 5, M ISSN 5-353 APPLICATIONS OF THE LAPLACE-MELLIN INTEGRAL TRANSFORM TO DIFFERNTIAL EQUATIONS S.M.Khirnr, R.M.Pi*, J.N.Slun** Dprtmnt o Mthmti Mhrhtr

More information

Planar Upward Drawings

Planar Upward Drawings C.S. 252 Pro. Rorto Tmssi Computtionl Gomtry Sm. II, 1992 1993 Dt: My 3, 1993 Sri: Shmsi Moussvi Plnr Upwr Drwings 1 Thorm: G is yli i n only i it hs upwr rwing. Proo: 1. An upwr rwing is yli. Follow th

More information

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling.

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling. Cptr 4 4 Intrvl Suln Gry Alortms Sls y Kvn Wyn Copyrt 005 Prson-Ason Wsly All rts rsrv Intrvl Suln Intrvl Suln: Gry Alortms Intrvl suln! Jo strts t s n nss t! Two os omptl ty on't ovrlp! Gol: n mxmum sust

More information

Lecture 20: Minimum Spanning Trees (CLRS 23)

Lecture 20: Minimum Spanning Trees (CLRS 23) Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss

More information

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x) Chptr 7 INTEGRALS 7. Ovrviw 7.. Lt d d F () f (). Thn, w writ f ( ) d F () + C. Ths intgrls r clld indfinit intgrls or gnrl intgrls, C is clld constnt of intgrtion. All ths intgrls diffr y constnt. 7..

More information

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S. ConTst Clikr ustions Chtr 19 Physis, 4 th Eition Jms S. Wlkr ustion 19.1 Two hrg blls r rlling h othr s thy hng from th iling. Wht n you sy bout thir hrgs? Eltri Chrg I on is ositiv, th othr is ngtiv both

More information

Optimal environmental policies in a heterogeneous product market under research and development competition and cooperation

Optimal environmental policies in a heterogeneous product market under research and development competition and cooperation Optimal nvironmntal poliis in a htrognous produt markt undr rsarh and dvlopmnt omptition and oopration By Olusgun Oladunjoy Univrsity of Gulph, Ontario, Canada Sptmbr 0, 005 Introdution Pollution xtrnality

More information

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes. Nm: UCA ID Numr: Stion lttr: th 61 : Disrt Struturs Finl Exm Instrutor: Ciprin nolsu You hv 180 minuts. No ooks, nots or lultors r llow. Do not us your own srth ppr. 1. (2 points h) Tru/Fls: Cirl th right

More information

G-001 CHATHAM HARBOR AUNT LYDIA'S COVE CHATHAM ATLANTIC OCEAN INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1" = 500' CANADA

G-001 CHATHAM HARBOR AUNT LYDIA'S COVE CHATHAM ATLANTIC OCEAN INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1 = 500' CANADA TR ISL ROR UST 8 O. R-2,4-3 R-4 IX O VITIO IS STT PL ORPI OORITS POSITIO 27698 4-39'-" 88 69-6'-4."W 278248 4-4'-" 8968 69-6'-4"W 27973 4-4'-2" 88 69-6'-"W W MPSIR OOR UUST PORTL MI OR 27 8-OOT OR L -

More information

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs. Pths.. Eulr n Hmilton Pths.. Pth D. A pth rom s to t is squn o gs {x 0, x 1 }, {x 1, x 2 },... {x n 1, x n }, whr x 0 = s, n x n = t. D. Th lngth o pth is th numr o gs in it. {, } {, } {, } {, } {, } {,

More information

I. The Connection between Spectroscopy and Quantum Mechanics

I. The Connection between Spectroscopy and Quantum Mechanics I. Th Connction twn Spctroscopy nd Quntum Mchnics On of th postults of quntum mchnics: Th stt of systm is fully dscrid y its wvfunction, Ψ( r1, r,..., t) whr r 1, r, tc. r th coordints of th constitunt

More information

Depth First Search. Yufei Tao. Department of Computer Science and Engineering Chinese University of Hong Kong

Depth First Search. Yufei Tao. Department of Computer Science and Engineering Chinese University of Hong Kong Dprtmnt o Computr Sn n Ennrn Cns Unvrsty o Hon Kon W v lry lrn rt rst sr (BFS). Toy, w wll suss ts sstr vrson : t pt rst sr (DFS) lortm. Our susson wll on n ous on rt rps, us t xtnson to unrt rps s strtorwr.

More information

Grade 7/8 Math Circles March 4/5, Graph Theory I- Solutions

Grade 7/8 Math Circles March 4/5, Graph Theory I- Solutions ulty o Mtmtis Wtrloo, Ontrio N ntr or ution in Mtmtis n omputin r / Mt irls Mr /, 0 rp Tory - Solutions * inits lln qustion. Tr t ollowin wlks on t rp low. or on, stt wtr it is pt? ow o you know? () n

More information

FINITE ELEMENT ANALYSIS OF

FINITE ELEMENT ANALYSIS OF FINIT LMNT NLYSIS OF D MODL PROBLM WITH SINGL VRIBL Fnt lmnt modl dvlopmnt of lnr D modl dffrntl qton nvolvng sngl dpndnt nknown govrnng qtons F modl dvlopmnt wk form. JN Rddy Modlqn D - GOVRNING TION

More information

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

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

More information

Midterm. Answer Key. 1. Give a short explanation of the following terms.

Midterm. Answer Key. 1. Give a short explanation of the following terms. ECO 33-00: on nd Bnking Souhrn hodis Univrsi Spring 008 Tol Poins 00 0 poins for h pr idrm Answr K. Giv shor xplnion of h following rms. Fi mon Fi mon is nrl oslssl produd ommodi h n oslssl sord, oslssl

More information

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology! Outlin Computr Sin 331, Spnnin, n Surphs Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #30 1 Introution 2 3 Dinition 4 Spnnin 5 6 Mik Joson (Univrsity o Clry) Computr Sin 331 Ltur #30 1 / 20 Mik

More information

In which direction do compass needles always align? Why?

In which direction do compass needles always align? Why? AQA Trloy Unt 6.7 Mntsm n Eltromntsm - Hr 1 Complt t p ll: Mnt or s typ o or n t s stronst t t o t mnt. Tr r two typs o mnt pol: n. Wrt wt woul ppn twn t pols n o t mnt ntrtons low: Drw t mnt l lns on

More information

Dual Nature of Matter and Radiation

Dual Nature of Matter and Radiation Higr Ordr Tinking Skill Qustions Dual Natur of Mattr and Radiation 1. Two bas on of rd ligt and otr of blu ligt of t sa intnsity ar incidnt on a tallic surfac to it otolctrons wic on of t two bas its lctrons

More information

Right Angle Trigonometry

Right Angle Trigonometry Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih

More information

The Theory of Small Reflections

The Theory of Small Reflections Jim Stils Th Univ. of Knss Dt. of EECS 4//9 Th Thory of Smll Rflctions /9 Th Thory of Smll Rflctions Rcll tht w nlyzd qurtr-wv trnsformr usg th multil rflction viw ot. V ( z) = + β ( z + ) V ( z) = = R

More information

VECTOR ANALYSIS APPLICATION IN ROTATING MAGNETIC FIELDS

VECTOR ANALYSIS APPLICATION IN ROTATING MAGNETIC FIELDS 22-578 VECTOR ANALYSIS APPLICATION IN ROTATING MAGNETIC FIELDS runo Osorno Dprtnt of Eltril And Coputr Enginring Cliforni Stt Univrsity Northridg 18111 Nordhoff St Northridg CA 9133-8436 Eil:runo@s.sun.du

More information

10/5/2012 S. THAI SUBHA CHAPTER-V

10/5/2012 S. THAI SUBHA CHAPTER-V /5/ /5/ S. THAI SUBHA CHAPTER-V FIR is finit impuls rspons. FIR systm s n impuls rspons tt is ro outsi of sm finit tim intrvl. FIR systm s finit mmory of lngt M smpls. /5/ S. THAI SUBHA CHAPTER-V /5/ IIR

More information

STRUCTURAL GENERAL NOTES

STRUCTURAL GENERAL NOTES UILIN OS: SIN LOS: RUTURL NRL NOTS NRL NOTS: US ROUP: - SSMLY USS INTN OR PRTIIPTION IN OR VIWIN OUTOOR TIVITIS PR MIIN UILIN O STION. SSONL. T UNTION O TIS ILITY IS NOT OR QUIPP OR OUPNY URIN WINTR/ TIN

More information

Physics 43 HW #9 Chapter 40 Key

Physics 43 HW #9 Chapter 40 Key Pysics 43 HW #9 Captr 4 Ky Captr 4 1 Aftr many ours of dilignt rsarc, you obtain t following data on t potolctric ffct for a crtain matrial: Wavlngt of Ligt (nm) Stopping Potntial (V) 36 3 4 14 31 a) Plot

More information

INVENTORY MODEL FOR DETERIORATING ITEMS WITH QUADRATIC DEMAND, PARTIAL BACKLOGGING AND PARTIAL TRADE CREDIT

INVENTORY MODEL FOR DETERIORATING ITEMS WITH QUADRATIC DEMAND, PARTIAL BACKLOGGING AND PARTIAL TRADE CREDIT Oprions Rsr n ppliions : n nrnionl Journl ORJ Vol. No.4 Novmr 5 NVENORY ODEL FOR DEERORNG ES WH QUDR DEND RL BKLOGGNG ND RL RDE RED D. Srmil n R.Uykumr Dprmn of mis Gnigrm Rurl nsiu Dm Univrsiy Gnigrm

More information