PRO-ACTIVE SCHEDULING BY A COMBINED ROBUST OPTIMIZATION AND MULTI- PARAMETRIC PROGRAMMING APPROACH
|
|
- Amberly Jacobs
- 5 years ago
- Views:
Transcription
1 PO-ACIVE SCHEDULIG BY A COMBIED OBUS OPIMIZAIO AD MULI- PAAMEIC POGAMMIG APPOACH Mr Wm-Hohe d Ero. Poouo * Cere or Proe Sem Egeerg Derme o Chem Egeerg Imer Coege Lodo SW7 BY U.K. Ar I h wor we ddre hor-erm h roe hedug uder uer whh he hedug mode omed wh uer d he oeve uo he rgh-hd de veor d he or mr rodued re demd d roeg me or overo re uer reeve. We wo-ge rou omzo/mu-rmer rogrmmg roedure or he rome ouo o he hedug mode whh re o mu-rmer med eger er (m-milp roem. We demore h he rooed roh orue o he oruo o ro-ve hedug reg d how h rve erve o he rgorou rou omzo roh erm o rovdg gh eme o he om hedug o. Keword Proe Shedug Med Ieger Ler Progrmmg Mu-Prmer Progrmmg. Iroduo he re o hedug o hem d hrmeu roee h reeved g eo dur d dem. For e oruo h ed we reer o he eee revew o Foud d L ( L d Iererou (008 d Verderme e. (00. Mo o he wor oered wh hedug mode whh d re umed o e ve. I roee m e ue o uer rg rom vro he mre demd rodu re roeg me e. Hee he om hedug o reed o he om vue m o e om or eve ee more oe devo rom he om vue h ourred. Pro-ve hedug moved he eed o ddre uer uro order o vod reeve oe omzo reoe o dure. I he oe erure roh o ou or he reee o uer he mode rou omzo whh m dg hedug oe h re ee or oe rezo o he rmeer (L e. (004 J e. (007 L d Iererou (008. O he oher hd mu-rmer rogrmmg h o oud romg o roe hedug uder uer (u e. 007 u d Poouo (007 L d Iererou (007 whe he umer o rmeer m. I h wor we emo omed rou omzo d mu-rmer rogrmmg roh o reerred o wo-ge mehod (Wm- Hohe d Poouo (0 ro-ve hedug reg or hor-erm h roee. We how h he wo-ge mehod ( ow or he ee reme o e o uer he uderg mhem mode d ( omro wh rgorou rou omzo roh e oervve d o rem ee owrd he ororo o he rmeer oe her u vue re ow. For e he oe-o-om hedug o he derved v uo evuo whou urher eed or omzo. * o whom orreodee houd e ddreed
2 Proem Formuo We oder hor erm hedug o h roee. I rur we ue he u e eve ed mode whh ouou me ormuo eurg he oe o eve o (Iererou d Foud (998. Eve o re me reed e whh r u. Br vre h re rodued o he mode deoe he vo u o u eve o. he oeve hedug he mzo o ro hough oher rer uh he mmzo o me- m o e odered. he hedug ormuo eed o ou or mer e ewee rodu rodued d oumed d orge or eore oo d eueg or gg o ue u d u me/duro or. Mre demd mu o o e me. he deerm hedug ormuo whh orreod o med-eger er roem red oow: z I m ( ( ( ( V H w w S w ( w H ( w H ( w ( H ( w ( H V I I I S w J C J I I I J J J J ( S S I J I J I J J S S I J. he reee o uer rorm he hedug mode o he geer mu-rmer med-eger er mode (P z (θ ( H θ.. A (θ E( θ F {0} ( d L θ m (P wh mre d veor hvg rore dmeo A ( A A (ogou or E(θ d deog he veor o rmeer. For eme re uer rodue oeve uo oee (OFC uer demd uer e he ere o he rgh-hd de (HS or veor d roduo me d overo re uer e he ere o he or mre A d E reeve d rodue o ed e-hd de (LHS uer o he mode. For he e ouo o (P murmer rogrmmg ehue m o derve he om ouo whou ehuve eumerg he rmeer e (Poouo (009. he reee o LHS-uer oe hege mu-rmer med eger er rogrmmg. hereore we emo omed rou omzo/mu-rmer rogrmmg roedure or he rome ouo o (P oued he e her. wo-sge Mehod or geer m-milp Proem I he r e o he wo-ge gorhm roedure (P mmuzed g uer he or mr A whh ed r rou IMm-MILP roem eurg OFC- d HS-uer we LHS-uer reed o he or mr E where he eod e he e om ouo o he rou mode derved g ue murmer rogrmmg gorhm (Fí e. (009. he omed rou omzo/mu-rmer rogrmmg roedure omuo ee rovdg gh ower oud o z ( o (P. Here ogde he wor-e oreed ormuo we o du erve rou mode whh ow orog he degree o oervm o he ouo. he wor-e oreed r rou ouerr o (P he r ouo o (P ed r rou ee m ( : A( E( θ F or ee θ. Iororg ( o (P ed he ormuo o he r rou ouerr (C o he geer m-milp roem (P z( θ ( H θ.. u u ( (θ u {0} (d L θ e (... m... u θ τ u m...m θ θ (C m where : ( / : deoe he rge d he om vue o θ = reeve. Ever ee ouo o (C r rou ee
3 ouo o (P. oe h he oveo wor-eoreed rou ouerr o (P orreod o u deerm MILP roem ee L e. (004 d Be- d emrov (998 reeve whoe ouo re mmue g d vro. Cer ever ee ouo o he rou ouerr o ee or (C d oeue or (P. he r rou ouerr o (P wh due degree o oervm o he ouo I re o rmeer re e o hge rom he om vue he he wor-e oreed rou ouerr m e oo rerve. A roh h ow dg he degree o oervm o he ouo reeed Berm d Sm ( Here ded o oe roe he ouo g uer A. Aume h he ere o A re modeed deede mmer d ouded rdom vre where deoe he om vue d he rge o or reeve. We deoe J he e o uer oee o A h er he -h or o (P. he rmeer Γ ed he udge rmeer mrg he rde-o ewee roue o he ouo d oervm o he mode. I hod 0...m. J I Γ eger whh ue umo our rmewor he ouo mmue g u o Γ uer oee he -h or o A. We h he r ( r rou ee wh ree o Γ { S J S } S e ( (... m or ee θ. Iororg ( o (P ed he r rou ouerr (C Γ z( θ.. u u 0 ( H θ u u {0} θ θ u 0 (d L θ J e (...m J...m J... m...m θ θ ( (C Γ whh o IM-m-MILP roem. oe h eg Γ = J ree he mo oervve mode whh euve o he wor-e oreed roh emoed (C. A deomoo gorhm or IM-m-MILP roem We oue he e o he gorhm reeed Fí e. (009 or he ouo o (C d ogou o (C Γ. he mer roem (M derved rom (C reg he rmeer θ omzo vre. he om eger ode o o (M u o (C whh he ed m-lp u-roem (S. he r rego o (S eh ue o he ee e o rmeer whh rur rem om re uue deed he LP om odo (G (979. Bewee ever mer d u-roem ero he mer roem uded. A ew MILP roem oved o go om or eh oe o he urre r rego. Ieger u re rodued o he ormuo o (M order o eude revou ved eger ouo d rmer u eure h o eger ode h re om or (C or er rezo o he rmeer re odered. he u re gve J : { } { 0} J...K wh K deog he umer o revou deed eger ouo h rego d ( H (d L (...K where (θ he om oeve vue o (C he eger ode reed o de. he gorhm erme rego where he mer roem ee. We re eveoe o rmer roe (Du e. (00 d oe eger ode d orreodg ouou ouo h hve ee deed o e om or er o wh r rego. Fuo evuo d dre vue omro o he oeve vue or he rmer roe ored he eveoe deerme he om ouo o (C rmeer rezo. oe h he r rego o (C oed he deomoo gorhm re ohedr ove d h he ouo ored he eveoe re eewe e uo. he umer o rego ueed he umer o eger ode d or. For horough ud o he omuo ome o he gorhm he reder reerred o Fí e. (009. Comuo Sude Eme. he roduo roe whoe Srereeo gve Fgure o o hree h e e hree ere u. he rodu S3 d ured vero S4 re od o o he mre. We ume re demd d roeg me uer or he mg. he d or Eme re reeed e. Emog he wo-ge mehod he r rou mode (C eore e o he ouo or ero o he vre erm o he roeg me. he
4 orreodg r rou duro or red oow: ( 4. 5 θ w 5 m m m m he r rou ouerr (C wh 5 eve o over me horzo o hour vove 85 or d 5 eger vre. he deomoo gorhm reure he ouo o 9 MILP mer roem oved o go om d 3 m-lp uroem. hree eger ode hve ee deed o e om or er rego o he ee rmeer e. he r rego re deed Fgure d he oeve uo vue oed o he ouo ored he eveoe o rmer roe re gve e. For he o e he ouo ored he eveoe re o gve. I u oe r rego he om r rou hedug o h ee deed. I rego C he eveoe o wo dde ouo mog whh or ever rmeer rezo he om r rou hedue o Eme w uded. For eme oder θ * =( C. A h o uo evuo ed z =8.6 oed wh he r roe d z =6 wh he eod roe reeve Dre omro dee he r roe o e he om r rou hedug o θ *. he orreodg G-Chr o he om r rou hedug o θ * reeed Fgure 3. I omro he e om vue o Eme θ * z=44. he deerm wor-e oreed rou ouerr o Eme however ee. C Fgure. Cr ego o Eme wh wo-sge Mehod e. Eveoe o Pr ou Pro o Eme Cr ego {0 θ θ 0.5} Pro -8.3θ θ +6.θ -0.6 θ θ -6θ C {-0.9 θ θ 0.5} -8.3θ θ +6.θ -0.6 θ C 3 C 4 C 5 {-θ +0.4θ 0.6 θ θ 0.5} {-θ +0.9θ θ θ -0.4 θ θ } {θ -0.9θ -0.7-θ + 0.8θ 0.9- θ θ -0.4 θ -0.6θ 0.5} -0θ +46θ -9θ θ +50θ -6θ θ +50θ -6θ Fgure. S-ereeo o Eme e. D or Eme U C Proeg me (τ U 00 Mg 4.5+θ U 75 eo 3.0 U 3 50 Sero.5 Se Sorge I Amou Pre S S S Demd S4-0 +θ 50-0θ θ θ ge - θ θ 0.5 Fgure 3. G-Chr o he Om Pr ou Shedug Po o Eme θ * =( Eme. he roe vove he roduo o wo rodu d ever ermede rodu deed he S-rereeo Fgure 4.he reo d 3 reeve e e oe o wo u U d U d here re ere u or heg d ero. Beue o he o e or he d o Eme we reer o Iererou (998. he re d he demd o he rodu S8 d S9 vr d here uer he roduo re o S8 d he ermede rodu S7:
5 C C ρ S 8 S 9 S θ 5 5θ θ 3 S 8 S 9 ρ S θ 60 0 θ 0. θ 4 0 θ 0 θ 0 θ 3 4 U U. Furhermore we ow h mo oe o he roduo re or S7 d S8 reeve U d U e o hge rom he om vue. Hee wh he wo-ge mehod we emed he r rou mode (C Γ wh due degree o oervm o he ouo. Covero re uer e he or oug or he mer e. he mou o e (rw ermede or rodu eve o h o e e h he mum orge d ur e w o-egve. For ever re { S 7 S 8} we rodue he udge rmeer. he orreodg orge ( or mmuzed g overo re uer red oow: I ( J I I ( J J S I J ( ( { S 7 S 8} Fgure 4. S-ereeo o Eme wh om Covero e ( ( ρ ( I J { S 7 S 8} where he uerr d deoe he om vue d he rge reeve o he roduo re. I mr w we re e o derve he roued or reed o he o-egv o he mou o S7 d S8 ever eve o. oe h he uer oee o he or mr re o deede. hereore ee hoe o he udge rmeer eer o eure oe ewee dere or d eve o order o derve megu rou mode.e.. ( ( Eorg h he ouo roeed g he dervo o mo oe roduo re rom he om vue we e. he wo-ge mehod ed o ( Eme wh 5 eve o over me horzo o 8 hour reure he ouo o 7 MILP roem d oe m-lp roem. he ouo o he r rou mode re deede o θ 3 d θ 4. I o 6 r rego hve ee deed whh re deed Fgure 5. I eh o he rego oe ouo ored. hereore he om r rou hedug o o Eme h ee deermed d we de he over r rou ro Fgure 6. oe h eg reeme he wor-e ( oreed roh.e. roduo re re e o hge rom he om vue where eg 0 o devo uored. I omro he ( rgorou wor-e oreed rou MILP mode o Eme ed ro o z=65.3 whh ower oud o he om r rou ro wh ree o deed Fgure 6 u o o he ( om r rou ro or 0. ( Fgure 5. Cr ego o Eme wh wo- Sge Mehod Fgure 6. Om Pr ou Pro (Sure Po d Om Wor-Ce Oreed ou Pro (Grd Po o Eme Couo I h wor we hve ddreed hor-erm h roe hedug omed wh uer he d ug wo-ge mehod whh ome e-ohe-r rou omzo d mu-rmer rogrmmg ehue. We o om r rou hedug o h ed gh ower oud o
6 he over ro d e oervve h he rgorou rou omzo roh. he wo-ge mehod e o de wh e o uer he hedug mode rur wh dure he ere o he or mre whh re he mo hegg e o uer mu-rmer med-eger er rogrmmg. he ee o mu-rmer rogrmmg oo or ro-ve hedug h he mode oved oe wh he rmer roe eg ored oo-u e. Hee oe he rue vue o he rmeer re ow he om r rou hedug o red oed v uo evuo rom he roe ored he oo-u e. Wh he wo-ge mehod erve o he wor-e oreed r rou mode we reeed he ormuo o r rou mode h ow orog he roue o he mode d oervm o he ouo whh he h ee ed o h roe hedug uded Eme. Aowedgme F uor rom EPSC (EP/G05907/ EP/I04640/ d rom he Euroe eerh Cou (MOBILE EC Adved Gr o 646 greu owedged. eeree Be- A. emrov A. (000. ou ouo o er rogrmmg roem omed wh uer d. Mh. Progrm. 88( Berm D. Sm M. (003. ou dree omzo d ewor ow. Mh. Progrm. 98( Berm D Sm M. (004. he re o roue. Oer. e. 5( Du V. Boz.A. Poouo E.. (00. A murmer rogrmmg roh or medeger udr egeerg roem. Comu. Chem. Eg. 6( Fí.P. Komd V.D. uem B. Poouo E. (009. Go omzo o mu-rmer MILP roem. J. Go Om 45( 3-5. Foud C.A. L X. (004. Couou-me veru dreeme rohe or hedug o hem roee: revew. Comu. Chem. Eg. 8( Foud C.A. L X. (005. Med eger er rogrmmg roe hedug: modeg gorhm d o. A. Oer. e. 39( 3-6. G. (979. Poom e rmer rogrmmg d reed o MGrw-H I.US. Iererou M.G. Foud C.A. (998. Eeve ououme ormuo or hor-erm hedug.. Muuroe h roee. Id. Eg. Chem. e. 37( J S.L. L X. Foud C.A. (007. A ew rou omzo roh or hedug uder uer: II. Uer wh ow ro druo. Comu. Chem. Eg. 3( L Z. Iererou M.G. (007. Proe hedug uder uer ug murmer rogrmmg. AIChE J. 53( L Z. Iererou M.G. (008. Proe hedug uder uer: evew d hege. Comu. Chem. Eg. 3( L Z. Iererou M.G. (008. ou omzo or roe hedug uder uer. Id. Eg. Chem. e. 47( L X. J S.L. Foud C.A. (004. A ew rou omzo roh or hedug uder uer:: I. Bouded uer. Comu. Chem. Eg. 8( Poouo E.. (009. Pereve murmer rogrmmg d e mode redve oro. AIChE J. 55( u J.-H. Du V. Poouo E.. (007. Prove hedug uder uer: A rmer omzo roh. Id. Eg. Chem. e. 46( u J.-H. Poouo E.. (007. A ove roh o hedug o zero-w h roee uder roeg me vro. Comu. Chem. Eg. 3( Verderme P.M. E J.A. L J. Foud C.A. (00. Pg d hedug uder uer: A revew ro mue eor. Id. Eg Chem. e. 49( Wm-Hohe M. Poouo E.. (0. A rou omzo ed roh o he geer ouo o m-milp roem I Proeedg o he Euroe Smoum o Comuer Aded Proe Egeerg ESCAPE Aed oo H I I I me horzo erormed u /roeg e J U u ue or erormg J S Se Eve o Amou o e od o mre eve o Amou o e eve o mou Amou o mer uderg u eve o Srg/hg me o u reed o eve o w Avo u o u eve o C Pre o e Demd o e Prooro o e oumed/rodued durg S Mmum orge o e V m V Mmum/mum or u Me roeg me o u Co/vre erm o roeg me or u wh : : 3 3 V V m
THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.
E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R
More informationOverview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).
Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h
More informationProbabilistic Graphical Models
Pros Grh Moes 0708 Lerg Coeey Oserve Uree Grh Moes Er Xg Leure O 9 005 Reg: MJCh. 990 Re: or Bs I we ssue he reers or eh CPD re goy eee oes re uy oserve he he kehoo uo eooses o su o o ers oe er oe: D D
More informationFracture analysis of cracked thermopiezoelectric materials by BEM
Q. H. Q / Eero Joura o ouar Eee Vo. No.. 83-3 3 Fraure aa o rae heroeoeer aera E Q-Hua Q Deare o eha a Uver a 37 P.R. Cha E-a: Qh@u.eu. ra he ouar eee oruao or aa rae heroeoeer aera ue o hera a eeroea
More information4.1 Schrödinger Equation in Spherical Coordinates
Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.
More informationConquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR
Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,
More informationRepresentation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients
Repor Nuber: KSU MATH 3 E R 6 Represeo o Souos o Ler Hoogeeous puo Fro ere Equos w ouous Vrbe oees Su-Ae PAK Mog-H KM d Hog-o O * Fu o Mes K Sug Uvers Pogg P R Kore * orrespodg uor e: oogo@ooo Absr We
More informationGENESIS. God makes the world
GENESIS 1 Go me he or 1 I he be Go me he b heve he erh everyh hh p he y. 2 There oh o he e erh. Noh ve here, oh *o ve here. There oy e eep er over he erh. There o h. I very r. The f Spr of Go move over
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use
More informationIMES DISCUSSION PAPER SERIES
IMES DISCUSSIO ER SERIES Deg d Emo of udr Term Sruure Model wh Mxure of orml Druo Kero Kuh Duo er o -E-8 ISTITUTE FOR MOETR D ECOOMIC STUDIES BK OF J -- IHOBSHI-HOGOKUCHO CHUO-KU TOKO 3-866 J ou dowlod
More informationObservations on the transcendental Equation
IOSR Jourl o Mecs IOSR-JM e-issn: 78-78-ISSN: 9-7 Volue 7 Issue Jul. - u. -7 www.osrjourls.or Oservos o e rscedel Euo M..Gol S.Vds T.R.Us R Dere o Mecs Sr Idr Gd Collee Trucrll- src: Te rscedel euo w ve
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More informationONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin
Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch
More informationAn Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices
ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of
More informationX-Ray Notes, Part III
oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel
More informationCHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES
CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationTWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA
WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem
More informationInternational Journal of Pure and Applied Sciences and Technology
I J Pure Al S Teol, 04, 64-77 Ierol Jourl o Pure d Aled Sees d Teoloy ISSN 9-607 Avlle ole wwwjos Reser Per O New Clss o rmo Uvle Fuos Deed y Fox-r Geerled yereomer Fuo Adul Rm S Jum d Zrr,* Derme o Mems,
More informationScience & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM
GEERAL BIRH-EAH ROCESS A SOME OF HEIR EM EXEAIO- MAXIMAIO) ALGORIHM Il Hl, Lz Ker, Ylldr Seer Se ery o eoo,, eoo Mcedo l.hl@e.ed.; lz.er@e.ed.; ylldr_@hol.co ABSRAC Brh d deh roce coo-e Mrco ch, h odel
More informationAnalytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function
I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo
More informationASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES
ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl
More informationCyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles
Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of
More informationAfrican Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS
Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol
More informationOn Metric Dimension of Two Constructed Families from Antiprism Graph
Mah S Le 2, No, -7 203) Mahemaal Sees Leers A Ieraoal Joural @ 203 NSP Naural Sees Publhg Cor O Mer Dmeso of Two Cosrued Famles from Aprm Graph M Al,2, G Al,2 ad M T Rahm 2 Cere for Mahemaal Imagg Tehques
More information4. Runge-Kutta Formula For Differential Equations
NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul
More informationInternational Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd,
Ieol Mhemcl oum Vol. 9 4 o. 3 65-6 HIKARI Ld www.m-h.com hp//d.do.o/.988/m.4.43 Some Recuece Relo ewee he Sle Doule d Tple Mome o Ode Sc om Iveed mm Duo d hceo S. M. Ame * ollee o Scece d Hume Quwh Shq
More informationHybrid Fuzzy Convolution Model Based Predictor Corrector Controller
Hbrd Fzz Covolo Model Bed Predor Correor Coroller Jáo ABOYI Árád BÓDIZS Lo AGY Fere SZEIFERT Dere of Chel Eeer Cbere Uver of Vezré P.O.Bo 58 Vezré H-80 HUGARY E-l: bo@b.ve.h Abr. Th er ree ew fzz odel
More informationThree-Phase Voltage-Source Converters
CURET Fll Three-Phe olge-soure Coerer Oule B Oero & Alo Pule-Wh oulo AC-Se Curre Corol DC-k olge Regulo Su C 85, ju@r.eu Three-Phe SC Three-Phe SC Cru / / S S S S S S A erle erfe ewee DC Three-Phe AC le
More information700 STATEMENT OF ECONOMIC
R RM EME EM ERE H E H E HE E HE Y ERK HE Y P PRE MM 8 PUB UME ER PE Pee e k. ek, ME ER ( ) R) e -. ffe, ge, u ge e ( ue ) -- - k, B, e e,, f be Yu P eu RE) / k U -. f fg f ue, be he. ( ue ) ge: P:. Ju
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More information176 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 informationitkiblt t m 'he Hoiiohll e rain. pwettiflice. be very acceptable. - COMMERCIAL PRINTING OFFICE. i BOOK AND JOB PRINTING XCB (u S00 $1200 Jj - - THE
F DERER RR p OE p p O DERER D RER Ob b b b p p bp pb R b b $ p p p p p pp p 8 b p b p O ED RR O DOD E G E D DDR RD p $ O O EGE DG O DED OO OGE OO D O RG D FY OER RG FE p p b pb p q p p q p q p EREE b p
More informationChapter Trapezoidal Rule of Integration
Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl
More informationAn Interactive Intuitionistic Fuzzy Non-Linear Fractional Programming Problem
o ou of pp gg R SSN - Voum Num pp - R uo p:wwwpuoom v uo uzz No- o ogmmg om zz m pm of Mm u of S w v o gp O : --- T pp vop w v mo fo ovg o fo pogmmg pom o uo fuzz o v mo f o m M pf g of - v m-m pom ov
More informationTechnical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.
Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so
More informationReview for the Midterm Exam.
Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme
More informationCS 4758 Robot Kinematics. Ashutosh Saxena
CS 4758 Rt Kemt Ahuth Se Kemt tude the mt f de e re tereted tw emt tp Frwrd Kemt (ge t pt ht u re gve: he egth f eh he ge f eh t ht u fd: he pt f pt (.e. t (,, rdte Ivere Kemt (pt t ge ht u re gve: he
More informationBEST PATTERN OF MULTIPLE LINEAR REGRESSION
ERI COADA GERMAY GEERAL M.R. SEFAIK AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMAIA SLOVAK REPUBLIC IERAIOAL COFERECE of SCIEIFIC PAPER AFASES Brov 6-8 M BES PAER OF MULIPLE LIEAR REGRESSIO Corel GABER PEROLEUM-GAS
More informationThe stress transfer calculations presented in the main text reports only our preferred
GS R ITEM 214377 L.S. Wlh e l. GS T REPOSITORY COULOM STRESS CHNGE PRMETER INPUT TESTS The re rfer lul preee he e repr ly ur preferre el. lhugh he geerl per ue re rbu, he el f he reul ul hge f el preer
More information4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula
NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul
More informationTEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL
Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s
More information_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9
C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n
More informationON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID
wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More informationDynamic Classification for Video Stream using Support Vector Machine
Clfo for Vdeo Sre ug Suor Veor Mhe Mree d, d Yuh Mo ere of Elerl d Couer Egeerg Uver of Vero, urlgo, V, US M Se d eholog Grou, Ee Juo, V, US r d lfo ug he uor veor he SVM ehue reeed h er e reel freork
More informationUBI External Keyboard Technical Manual
UI Eer eyor ei u EER IORIO ppiio o Ue ouiio e Eer eyor rie uer 12911 i R 232 eyor iee or oeio o e re o UI Eyoer prier Eyoer 11 Eyoer 21 II Eyoer 41 Eyoer 1 Eyoer 1 e eyor o e ue or oer UI prier e e up
More informationA 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 informationINTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET) AN APPLIED TWO-DIMENSIONAL B-SPLINE MODEL FOR INTERPOLATION OF DATA
INTERNTINL JURNL F DVNCED RESERCH IN ENGINEERING ND TECHNLGY IJRET Ierol Jorl o dved Reer Egeerg d Teolog IJRET ISSN 97 8Pr ISSN 97 99le Vole Ner Jl-Deeer IEME ISSN 97-8 Pr ISSN 97-99 le Vole Ie Jl-Deeer.
More information-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL
UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he
More information! -., THIS PAGE DECLASSIFIED IAW EQ t Fr ra _ ce, _., I B T 1CC33ti3HI QI L '14 D? 0. l d! .; ' D. o.. r l y. - - PR Pi B nt 8, HZ5 0 QL
H PAGE DECAFED AW E0 2958 UAF HORCA UD & D m \ Z c PREMNAR D FGHER BOMBER ARC o v N C o m p R C DECEMBER 956 PREPARED B HE UAF HORCA DVO N HRO UGH HE COOPERAON O F HE HORCA DVON HEADQUARER UAREUR DEPARMEN
More informationRAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels
AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv
More informationLAUREL HILL VERMONT APRIL 2014
MY Y / OVR O OP MP R OP Y R Y K R U M R PK R R OM R P U ROU P O R RMP OO R MP MOU R RR UR R OU V OR V M O OR R OP R R R OO JOV Y V R V OO Y OUR PKY U V O VY MP O R R UR R R O O V R R R R RO Y P Y QU RU
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationOn the Existence and uniqueness for solution of system Fractional Differential Equations
OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationMaximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002
Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he
More informationjfljjffijffgy^^^ ^--"/.' -'V^^^V'^NcxN^*-'..( -"->"'-;':'-'}^l 7-'- -:-' ""''-' :-- '-''. '-'"- ^ " -.-V-'.'," V'*-irV^'^^amS.
x } < 5 RY REOR RY OOBER 0 930 EER ORE PBE EEEY RY ERE Z R E 840 EG PGE O XXER O 28 R 05 OOG E ERE OOR GQE EOEE Y O RO Y OY E OEY PRE )Q» OY OG OORRO EROO OORRO G 4 B E B E?& O E O EE OY R z B 4 Y R PY
More informationLIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR
Reseh d ouiios i heis d hei Siees Vo. Issue Pges -46 ISSN 9-699 Puished Oie o Deee 7 Joi Adei Pess h://oideiess.e IPSHITZ ESTIATES FOR UTIINEAR OUTATOR OF ARINKIEWIZ OPERATOR DAZHAO HEN Dee o Siee d Ioio
More informationAn Introduction to Robot Kinematics. Renata Melamud
A Itrdut t Rt Kemt Ret Memud Kemt tude the mt f de A Empe -he UMA 56 3 he UMA 56 hsirevute t A revute t h E degree f freedm ( DF tht defed t ge 4 here re tw mre t the ed effetr (the grpper ther t Revute
More information1. Consider an economy of identical individuals with preferences given by the utility function
CO 755 Problem Se e Cbrer. Cosder ecoomy o decl dduls wh reereces e by he uly uco U l l Pre- rces o ll hree oods re ormled o oe. Idduls suly ood lbor < d cosume oods d. The oerme c mose d lorem es o oods
More informationAPPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS
Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come
More informationState The position of school d i e t i c i a n, a created position a t S t a t e,
P G E 0 E C O E G E E FRDY OCOBER 3 98 C P && + H P E H j ) ) C jj D b D x b G C E Ob 26 C Ob 6 R H E2 7 P b 2 b O j j j G C H b O P G b q b? G P P X EX E H 62 P b 79 P E R q P E x U C Ob ) E 04 D 02 P
More informationDETAIL MEASURE EVALUATE
MEASURE EVALUATE B I M E q u i t y BIM Workflow Guide MEASURE EVALUATE Introduction We o e to ook 2 i t e BIM Workflow Guide i uide wi tr i you i re ti ore det i ed ode d do u e t tio u i r i d riou dd
More informationChapter 2. Review of Hydrodynamics and Vector Analysis
her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me
More informationExplicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients
KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos
More information[ ]:543.4(075.8) 35.20: ,..,..,.., : /... ;. 2-. ISBN , - [ ]:543.4(075.8) 35.20:34.
.. - 2-2009 [661.87.+661.88]:543.4(075.8) 35.20:34.2373-60..,..,..,..,.. -60 : /... ;. 2-. : -, 2008. 134. ISBN 5-98298-299-7 -., -,,. - «,, -, -», - 550800,, 240600 «-», -. [661.87.+661.88]:543.4(075.8)
More informationCalculation of Effective Resonance Integrals
Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro
More informationFredholm Type Integral Equations with Aleph-Function. and General Polynomials
Iteto Mthetc Fou Vo. 8 3 o. 989-999 HIKI Ltd.-h.co Fedho Te Iteg uto th eh-fucto d Gee Poo u J K.J. o Ittute o Mgeet tude & eech Mu Id u5@g.co Kt e K.J. o Ittute o Mgeet tude & eech Mu Id dehuh_3@hoo.co
More informationOn Fractional Operational Calculus pertaining to the product of H- functions
nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom
More informationDERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR
Bllei UASVM, Horilre 65(/008 pissn 1843-554; eissn 1843-5394 DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Crii C. MERCE Uiveriy of Agrilrl iee d Veeriry Mediie Clj-Npo,
More information, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».
VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!
More informationA New Dynamic Random Fuzzy DEA Model to Predict Performance of Decision Making Units
Jo o Ozo I Egg 6 75-9 A w D Ro Fzz DEA Mo o P Po o Do Mg U A gho * Mgho A Azoh S Sgh A Poo D o I Egg F o Egg P--oo U Th I Poo D o I Mg Ah T U Th I A Poo D o I Egg F o Egg P--oo U Th I R Oo 4; R 3 J 5;
More informationA Fusion Method of Fault Diagnosis Based on Nonlinear Spectral Analysis
Fo eod o Fal ago Baed o olear Seral al Ra We ogzao a Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a 749.R. a rwe@are.o za@.ed. oggag Zo a Zag ad Xeg Wag Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a
More informationHow delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics
How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo
More informationSTOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION
The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele
More information( 1) β function for the Higgs quartic coupling λ in the standard model (SM) h h. h h. vertex correction ( h 1PI. Σ y. counter term Λ Λ.
funon for e Hs uar oun n e sanar moe (SM verex >< sef-ener ( PI Π ( - ouner erm ( m, ( Π m s fne Π s fne verex orreon ( PI Σ (,, ouner erm, ( reen funon ({ } Σ s fne Λ Λ Bn A n ( Caan-Smanz euaon n n (
More informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationLOW VOLTAGE FROM CABLE TRAY DRAFT 2 37 WAGO END PLATE - -
G KGE 00% FOR REVEW RERVE OE: hese designs and drawings were prepared by Jefferson cience ssociates, LL, hereinafter the ontractor, under ontract o. E00OR with the epartment (OE). ll rights in the designs
More informationNumerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation
ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or
More informationParametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip
Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut
More informationFRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a)
Ieol Jol o Se Reeh Pblo Volme Ie 5 y ISSN 5-5 FRACTIONAL ELLIN INTEGRAL TRANSFOR IN / S.. Kh R..Pe* J.N.Slke** Deme o hem hh Aemy o Egeeg Al-45 Pe I oble No.: 98576F No.: -785759 Eml-mkh@gml.om Deme o
More informationktmuwii INDEPENDENT IN Al.t THINCIS. NEUTRAL IN NOTHING* Sold at Cast. AI.GE" IS DKVI). Lowell's Bright Boy Stricken With Small Pox at Manila.
U ] DD H UR OH* VO V O 48 O H R 20 899 HO O 0 H O OO H R $0000000 D V - O H D R D V Y ( V * * \»- > / * 4 Z* -R»!» * 0 H ( \ $! H O O H O R D H H 8 H X DU H - R D O DV) > : ) H :» O: * \ - R
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More informationNEIGHBOURHOODS OF A CERTAIN SUBCLASS OF STARLIKE FUNCTIONS. P. Thirupathi Reddy. E. mail:
NEIGHOURHOOD OF CERTIN UCL OF TRLIKE FUNCTION P Tirupi Reddy E mil: reddyp@yooom sr: Te im o is pper is o rodue e lss ( sulss o ( sisyig e odio wi is ( ) p < 0< E We sudy eigouroods o is lss d lso prove
More informationH STO RY OF TH E SA NT
O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922
More informationSAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL
S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"
More informationNeutrosophic Hyperideals of Semihyperrings
Nuooph m Vol. 06 05 Uv o Nw Mo Nuooph Hpl o mhpg D Ml Dpm o Mhm j P Moh Collg Up Hooghl-758 mljumh@gml.om A. h pp w hv ou uooph hpl o mhpg o om opo o hm o u oo pop. Kwo: C Pou Compoo l o Nuooph mhpmg.
More informationModeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25
Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:
More informationPhylogenetic analysis of NADH dehydrogenase subunit 1(NADH 1) gene in Salmo trutta caspius
Jou o omoo Zooo u 2015; 3 (2): 185-193 -: 2320-7078 -: 2349-6800 JZ 2015; 3 (2): 185-193 2015 JZ : 20-03-2015 : 16-04-2015 bo z m o -oo o B, m z U obo B,. o o o ubu 1( 1) mo u u bo z b 1 mo u u b u, z
More informationSuggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)
per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.
More informationPhysics 232 Exam II Mar. 28, 2005
Phi 3 M. 8, 5 So. Se # Ne. A piee o gl, ide o eio.5, h hi oig o oil o i. The oil h ide o eio.4.d hike o. Fo wh welegh, i he iile egio, do ou ge o eleio? The ol phe dieee i gie δ Tol δ PhDieee δ i,il δ
More informationo Alphabet Recitation
Letter-Sound Inventory (Record Sheet #1) 5-11 o Alphabet Recitation o Alphabet Recitation a b c d e f 9 h a b c d e f 9 h j k m n 0 p q k m n 0 p q r s t u v w x y z r s t u v w x y z 0 Upper Case Letter
More informationdistrict department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS
F f ddy f p SEL ev 6 RS 49 h f e f pub ed d y be pubhed epdued p e ype peby bk k ub f ffe fude dde e 4v4L 6 hw e hud ppe b e e u fx b 7 f AUS p d dep pube e fa f Pde V A 4 q k 6 S4 8 W9 f ede 4 9f e L
More informationDecompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)
. Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.
More informationT T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )
. ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X
More informationBuilding Optimal Offer Curves For An Electricity Spot Market: A Mixed-Integer Programming Approach
Buldg Oml Offer Cure For A Elery o Mrke: A Mxed-Ieger Progrmmg Aro Joé M. Ferádez-Lóez, Álro Bíllo, go Cerol, Rfel Belldo Abr I er we ree mxed-eger rogrmmg ro o omze e offer ure ubmed by ower geero omy
More informationO. B. S H I M E, Q. C.
I N T H E MATT E R O F A N AR B I T RAT I O N B ETWE E N : O NTA R I O P RO P E RTY AS S ES S M E N T C O R PO RAT I O N AN D : O N TA R I O P U B L I C S E RV I C E E M P LOY E E S ' U N I O N A N D I
More informationAdver-isemen- suliber, 8 nries) PLAIN AND FANCT. forrip Sailora. starts, gtorlling5,'tv.to 'gtl. Waikiihalulu Water Lots! LARGE AND COMMODI- -,
E E ERER RER p p p p x p $ p 0 p xp p p p p p p E p q 0 $ p 8 p $ 0 $ E EEER Y R ER 8 E 8 8 p EERE p p p REEREE q 8 Y p p p REEREE x E p Eq R p RE ER ER p x q EE p E E GR G p p 0 0 0 0 p x x p x p q EER
More information