Sensitivity Analysis of the Accident Rate of a Plant by the Generalized Perturbation Theory
|
|
- Susan Horton
- 5 years ago
- Views:
Transcription
1 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 esvy Alyss of e Accde Re of Pl by e Geerlzed Perurbo eory E F L D G exer P F Fruuoso e elo F C lv d A C Alv Absrc we dscuss e lco of e Geerlzed Perurbo eory (GP) o e relbly of syse of ree equl roeco cels of dusrl l e fluece of reers suc s e ded re d e flure re over e l ccde re s dscussed rdol eods ve bee used o sudy e fluece of ese reers o e l ccde re wc e syse of dfferel equos derved fro e rkov roc doed s solved for ec vlue of e ded re Fro e soluo of s syse of equos curves for e ccde frequecy deedg o e ded re (drec clculo) re obed However s ossble o ob ese curves by GP fser wy were e clculo effor y be reduced by fcor of u o I ws foud for ded res lower / yer GP clculos w rd d 5 orders of roxos of gve beer resuls ose w s order roxo we cored o drec clculo However for ded res equl or greer / yer e s order roc reseed beer resuls e rd d 5 orders Keywords Ded re Geerlzed Perurbo eory rkov relbly lyss Pl ccde re I I INRODUCION NDURIAL fcles re equed w syses wose sole fuco s o roec e ublc er ersoel d eque gs desrucve effecs cused by ccdes wc rdocve oxc or flble subsces y be relesed o e evroe E F L forer sude Grdue Progr of Nucler Egeerg COPPE Federl Uversy of Ro de Jero Av Horáco cedo Roo G Ro de Jero RJ Brzl e-l: l@uclerufrjbr D G exer Dc sude Grdue Progr of Nucler Egeerg COPPE Federl Uversy of Ro de Jero Av Horáco cedo Roo G Ro de Jero RJ Brzl e-l: dexer@uclerufrjbr P F Fruuoso e elo Professor Grdue Progr of Nucler Egeerg COPPE Federl Uversy of Ro de Jero Av Horáco cedo Roo G Ro de Jero RJ Brzl e-l: fruuoso@uclerufrjbr F C lv Professor Grdue Progr of Nucler Egeerg COPPE Federl Uversy of Ro de Jero Av Horáco cedo Roo G Ro de Jero RJ Brzl e-l: ferdo@uclerufrjbr A C Alv Professor Grdue Progr of Nucler Egeerg COPPE Federl Uversy of Ro de Jero Av Horáco cedo Roo G Ro de Jero RJ Brzl e-l: lv@uclerufrjbr yclly roecve syses re erodclly esed sdby sfey syses wose relbly fgure of er s er e uvlbly s deeds o e flure d rer res of s cosue cels o e es d ece olces osed s well s o e syse logc cofguro However fro e o of vew of sfey e fcles reer relly ers s e ccde (or zrd) re I s bee coo rcce o evlue e l ccde re s e roduc of e frequecy of occurrece of e g eve (lso kow s ded re) by e roecve syse e uvlbly were oe ssues e ler s deede of e forer s s vld ssuo oly f e ded re s low (yclly less /yer) s es o be for os g eves ucler ower ls Nevereless sgfc effec of e ded re o e l ccde re y be foud weever e forer ssues ger vlues s fluece s lredy bee deeced d dscussed for soe secl cses [] [] As rccl exerece s sow we cosder roecve syses y ve u o fve decl cels for e we wll be coverg 9% of cul syses uder curre usge rkov odels ve bee used order o odel e l ccde re by kg o ccou e erdeedece bewee e ded re d e uvlbly of e roecve syse rkov odels cosder e ossbly of erforg rer o e roecve syse bo w e l ole s well s offle I y sces e frs olcy s o llowed Besdes for ose suos were ccde s occurred d e roecve syse dd o erfor roerly rer s o erfored o for e wole l s lredy uder dge s suo s lso odeled ere As ded res y be s g s /yer sesvy lyses o e l ccde re y requre exesve clculos For s reso e geerlzed erurbo eory s bee cosdered s eresg oo for fcg e roble [4] Oe of e dvges of GP s e fc requres referece soluo for e l ccde re d y geere resuls by erurbg oe or ore reers e se e us cosderbly reducg e couer effor GP s eursc eod [5] wdely used by e ucler egeerg couy s for exle recor yscs [6] d erl ydrulcs lyss [7] [8] e ossbly of lyg GP o relbly lyss bsed o rkov odels ws dscussed [9] e bevor of l ccde frequecy s fuco of flure res d syse ded ws lyzed [4] IN:
2 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 everl sudes ublsed e relbly re cofr e orce of deerg e ccde frequecy of l o e bss of flure d ded res [] [] eekg o exed e lco of GP o s roble s work kes sesvy lyss of e ccde frequecy of l equed w syse of ree roeco cels As we re dscussg r cel syse w redudcy s ecessry o cosder e ossbly of occurrece of coo-cuse flures ere re soe odels re coo-cuse flures suc s e bsc reer odel e ulle Greek leer odel d e fcor odel [] I s work we used e fcor odel e reso for coosg s odel s s relvely sle o ob s reer vlues rcce II HE HREE-CHANNEL PROBLE e relbly rbue of eres for roecve syses s er verge uvlbly (U) wc deeds o e cooe (cel) flure re () rer re (μ) u flure robbly durg ece cves () d lso o e uber of rere vlble Fro e o of vew of l sfey lyss e reer ers s e ccde frequecy () gve by e roduc bewee e frequecy of e g eve lso clled ded re () d e verge uvlbly of e roecve syse U(µ) were s cly ssued e ler s deede of e frs However sgfc effec of e ded re o e verge vlbly of e roecve syse c be foud weever e frs ssues ger vlues (>/yer geerl []) s fluece s bee lyzed rcce (eg syses w u o wo redud cels []) us suc cses oe sould wre: U () We ssue ree-cel roecve syse subjec o : F wc es e roecve syse flure occurs weever les cels fl e syse uvlbly wll be odeled by es of rkov c becuse we eed o odel syse rer d lso ureveled cel flures e se rso dgr for e roecve syse w ree decl cels d reveled flures uder : F logc y be see Fgure e reers e rles < j k > sow Fgure rerese: = uber of oerg cels j = uber of fled cels wose flures re ureveled d k = uber of fled cels wose flures re reveled I Fg k rereses e flure re of k cels ve fled due o coo cuses (coo-cuse flures) e rso fro se o se 7 es ll cels ve fled due o cuse e rso re fro se o se es oly oe cel flure s occurred bu ere re dffere wys becuse ere re cels o se As e uber of rere s equl o e uber of cels e rso fro se o se 6 s equl o (- ) eg ec fled cel s ssged rer For e cse of e rso fro se o se 8 ureveled cel flure s ssued s resul of ece bu g rere re vlble <> (-) 4 7 <> <> (-) 5 <> <> (-) 6 (-) (-) <> <> <> <> (-) 8 9 <> Fg e rso dgr for e -cel roecve syse Due o e ssuo of erforg ece oly we e l s ole ses 6 9 d wll o be ke o ccou we evlug e l ccde re s wll be dscussed ler e roc for reg coo-cuse flures s bsed o e odel [] e odel [] s bsed o ul-reer geerlzed reers re reled o e eves kow w e urose of esg drec wy e bsc eve coocuse robbles c be defed s e frco of eves volvg e flure of rculr cooe due o coo cuse e robbly of suleous flure of k d oly k cooes due o coo cuse s gve by []: k k () k were k () k k d sds for e uber of equl roecve syse cels e reer k s subjec o e followg codo: k (4) k As ere re ree equl roecve cels e = d Eq () s wre s: IN: 998-4
3 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 k k k Fro Eq (5) oe c wre: for k = d (5) (6) Pug Eq (6) Eq (5) w k = d oe s: (7) (8) (9) wc re e syse flure res s fuco of reers e e dfferel equo govers e syse bevor s gve by: d d were () s vecor defed s follows: ) ( ) ( ) () ( d (); = rereses e robbly e syse s e - se d s e rso re rx gve by: were: () As s s l vlue roble l codo us be secfed I s cosdered ll cels re lly o so : () As e flure logc s gve by :F so ere us occur les wo cel flures for e syse o fl e l ccde re s gve by []: d (4) Eq (4) kes o ccou o-le rer s fesble As we re o gog o ke s olcy o ccou (s dscussed [4]) e oly e offle rer olcy wll be ke o ccou so Eq (4) y be rewre s: wc y be recs o: P were d d ) 8 ( d (5) (6) (7) (8) e erurbo reers d wll gve us ew ccde re wc c be obed by ylor seres exso: IN: 998-4
4 !! (9) were oe obs fro Eq (6): d () f d f d ; ; () d f ; d f ; d d () e dervves of () w resec o d reers re e soluos of e followg equos: d d () d d (4) d d (5) wose source ers re s follows: (6) ) ) ( (7) l l l ) ( (8) were! w (9) d ) ( () were () w d INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 IN: 998-4
5 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 () () However ccordg o e source recrocy relos [] Eqs () () y be recs o: d d d * * d ( ) ( ) * d d ( ) d () (4) (5) were *() e orce fuco ssoced o e egrl quy s e soluo of e followg equo: d * ( ) * ( ) (6) d Pug Eqs () (5) o Eqs () () resecvely d e resulg equos Eq (9) oe obs: *! ( ) * ( ) d d * ( ) d! * ( ) * ( ) [ d d! * ( )! d ] (7) were e source ers d were defed Eqs (6) (8) Eq (7) s used for erforg e sesvy lyss for e l ccde re Noe e use of e orce coce d of source ers crcerzes e use of e geerlzed erurbo eory III CAE UDIE o use GP for erforg e sesvy lyss o e ccde frequecy of l (usg syse of ree equl roeco cels) e syse ded re d (frco of eves volvg e flure of rculr cooe due o coo cuse) were erurbed e u d used s reseed ble [] [] ble Iu reers Preer ybol Vlue Proof es ervl yr Cel flure re /yr Cel rer re 65/yr Hu flure robbly durg cel rer Probbly of wo cel flures due o coo-cuse flure oreover reer ws vred s follows: = 7 + 5( ) = 5 (8) e referece vlue for reer ws ssued s 8 e vlue ssued for s reseed ble s es we re ssug % robbly of wo suleous cel flures due o coo cuses I e sesvy sudes for ec vlue vros of ccordg o ble were doed s for ec cse sow were dffere ervl for s defed e vlues ese rges re gve ccordg o equo e ls colu of e ble Also referece vlue for e ded re s se s lso sow e ble ble Perurbed ded res Cse Rge (yr - ) Ref (yr - ) Perurbed reer vlue (yr - ) 9 5 +(-); =9 5 +5(-); = (-); =9 4 +5(-); = (-); = (-); = (-); = (-); = (-); = (-); = (-); = (-); =9 esvy clculos usg GP e solvg e syse of dfferel equos of Eq () 6 es sce ere re IN: 998-4
6 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 referece vlues for e ded re d 5 vlues for e reer [Eq (8)] were doed (see ble ) Corvely e resuls reseed [] requred e soluo of e se syse ore 6 es IV REUL AND DICUION Fgure sows e sesvy lyss erfored o e l ccde re for = 75 e curves for e drec soluo d for e erurbos cosderg e frs rd d ff orders exsos ers re dslyed [Eq (7)] Fgs 5 dsly e sesvy lyss for = d 95 resecvely I c be see e resuls volve e reseo of e drec soluo d of e erurbed soluos w dffere ylor exso orders Accde Re (yr - ) Drec s order rd order 5 order 75 Ded Re (yr - ) Fg esvy lyss for = 75 Accde Re (yr - ) Drec s order rd order 5 order 8 Ded Re (yr - ) Fg esvy lyss for = 8 IN:
7 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 Accde Re (yr - ) Drec s order rd order 5 order 85 Ded Re (yr - ) Fg 4 esvy lyss for = 85 Accde Re (yr - ) Drec s order rd order 5 order 9 Ded Re (yr - ) Fg 5 esvy lyss for = 9 I ws foud for ll vlues of e rd d 5 roxo orders were beer for </yer weres for > /yer e s order roxo s beer For < /yer e ccde frequecy s fuco of e ded re creses rdly w e eed o use gerorder ylor seres o rerese e fuco s rge erefore e roces of rd d 5 orders were beer wle e roc of s order ce o ve devo of u o 88% for = / yer Fgure 5 For > / yer e ccde re s los syoc d s dervves of ger orders re close o zero As e roc of s order does o use ese dervves er resuls re beer s rge e roces of rd d 5 orders use ese dervves d erefore ed o crese e devo recg 6% for = 65/yer for e 5 order roc IN:
8 INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 I CONCLUION e urose of s er ws o lyze e sesvy of ree-cel roecve syse cosderg s egrl quy of eres e l ccde re e syse sesvy lyss ws que ssfcory d GP s recoeded GP o erfor sesvy lyses becuse e couol effor s reduced by fcor of I c be see fro e resuls sow e s rd d 5 roxos orders sowed good resuls relo o e drec clculo well-defed ervls s dscussed s bevor olds rue for e oer vlues erefore we recoed e use of GP s ye of roc d oer robles For fuure work suc s e use of u o 5 roeco cels we recoed usg e GP However oe us lyze w roxo o use for e ded re ervls Aoer or feure s e cosdero of cel gg I s or o dscuss e fluece of cel gg o e roecve syse uvlbly d lso l ece olces sgfcly ffec e l ccde re s cosdero s jusfed by e fc e ssuo of cel useful lfe ( s exoel flure es) y be oo resrcve due o l sressg codos A l dscusso o s y be foud elsewere [] [] P F Fruuoso e elo L F Olver d RW Yougblood A rkov odel for e relbly lyss of ul-celed roecve syses cosderg reveled flures d coo-cuse flures by e l odel Proc 9 N ee O Recor Pyscs d erl Hydrulcs Brz Assoc Nucl Eergy Ro de Jero RJ Brzl [] P F Fruuoso e elo D G exer d A C Alv A oe Crlo Evluo of e Accde Re of Pl Equed w Agg gle-cel r Devce o be reseed e 4 Ierol Coferece of Nuercl Alyss d Aled ecs o be eld Rodes Greece 9-5 eeber6 REFERENCE [] F P Lees A geerl relo for e relbly of sgle-cel r syse Relbly Egeerg vol 98 [] L F Olver d J D Arl Neo Ifluece of e ded re d rer re o e relbly of sgle-celed roecve syse Relb Eg vol [] L F Olver R W Yougblood d P F Fruuoso e elo Hzrd re of l equed w wo-cel roecve syse subjec o g ded re Relb Eg d yse fey vol [4] P F Fruuoso e elo A C Alv d F C lv esvy lyss o e ccde re of l equed w sgle roecve cel by geerlzed erurbo eods Als of Nucler Eergy vol [5] A Gd Geerlzed erurbo eory (GP) eods: eursc roc Advces Nucler cece d ecology vol [6] F C lv d A Gd Perurbo ecques for Recor Lfe Cycle Alyss Proc I ocl ee o Advces Recor Pyscs ecs d Couo Prs Frce [7] F C lv d Z D oé Deleo clculos w sc geerlzed erurbo eory Als of Nucler Eergy vol [8] A C Olver F R A L d A C Alv Alco of e Geerlzed Perurbo eory of wo-cel odel for e esvy Alyss of PWR Recor Core ( Poruguese) Proc 7 N ee Recor Pyscs d erl Hydrulcs Ro de Jero Brzl [9] A Gd A Iorce d sesvy lyss ssessg syse relbly IEEE rscos o Relbly vol [] A osle d N u A ul-reer coo-cuse flure odel rs 9 ruc ec I Rec ec (R) Cof Luse wzerld 987 er # 7/ 47-5 [] F C lv Develoe of Geerlzed Perurbo eory (GP) eods d er lco o recor yscs ( Poruguese) Dc dssero Grdue Progr of Nucler Egeerg COPPE/UFRJ Ro de Jero RJ Brzl 989 IN:
4. 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 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 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 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 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 informationDifferential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions
Ierol Reserc Jorl o Aled d Bsc Sceces 3 Avlle ole www.rjs.co ISSN 5-838X / Vol 4 : 997-33 Scece Exlorer Plcos Derel Eqo o Eevles or Sr Lovlle Bodry Vle Prole w Ne Bodry Codos Al Kll Gold Dere o Mecs Azr
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 informationNield- Kuznetsov Functions of the First- and Second Kind
IOSR Jourl of led Phscs IOSR-JP e-issn: 78-486.Volue 8 Issue Ver. III M. - Ju. 6 PP 47-56.osrourls.or S.M. lzhr * I. Gdour M.H. Hd + De. of Mhecs d Sscs Uvers of Ne rusc P.O. ox 55 S Joh Ne rusc CND EL
More informationIsotropic Non-Heisenberg Magnet for Spin S=1
Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue
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-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 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 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 informationIntegral Equations and their Relationship to Differential Equations with Initial Conditions
Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp
More informationCONTRIBUTIONS TO THE STUDY OF THE PASSING THROUGH THE RESONANCE OF THE LINEAR SYSTEMS HAVING A FINITE NUMBER OF DEGREES OF FREEDOM
U.P.B.. Bull. eres D Vol. 69 No. 007 IN 454-58 CONTRIBUTION TO THE TUDY OF THE PING THROUGH THE REONNCE OF THE LINER YTE HVING FINITE NUBER OF DEGREE OF FREEDO C- ION Ele Elvr ION G. C. ION Î esă lurre
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationStat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty
S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.
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 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 informationAn Adaptation of the Scheifele Method to Stiff Systems of Differential Equations
86 he Ope Appled Mhecs Jourl 8 86-94 Ope Access A Adpo of he Schefele Mehod o Sff Syses of Dfferel Equos J.A. Reyes F. Grcí-Aloso d Y. Vllcp* Depre of Appled Mhecs. Hgher Polyechc School (EPS). Uversy
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 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 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 informationThe Infinite NHPP Software Reliability Model based on Monotonic Intensity Function
Id Jourl of Scece d Techology, Vol 8(4), DOI:.7485/js/25/v84/68342, July 25 ISSN (Pr) : 974-6846 ISSN (Ole) : 974-5645 The Ife Sofwre Relly Model sed o Moooc Iesy Fuco Te-Hyu Yoo * Deprme of Scece To,
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
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 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 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 informationNovel Bose-Einstein Interference in the Passage of a Jet in a Dense Medium. Oak Ridge National Laboratory
Rdge Worksho, INT, My 7-, 0 Novel Bose-Ese Ierferece he Pssge of Je Dese Medu Cheuk-Y Wog Ok Rdge Nol Lborory Our focus: recols of edu ros fer je collso Poel odel versus Fey lude roch Bose-Ese erferece
More informationLecture 3 summary. C4 Lecture 3 - Jim Libby 1
Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch
More informationHow to explore replicator equations? G.P. Karev
How o explore replcor equos? GP Krev Locheed r SD Nol Isue of Helh Bldg 38 R 5N5N 86 Rocvlle Pe Behes D 2894 US E-l: rev@clhgov src Replcor equos RE) re og he sc ools hecl heory of seleco d evoluo We develop
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationUnscented Transformation Unscented Kalman Filter
Usceed rsformo Usceed Klm Fler Usceed rcle Fler Flerg roblem Geerl roblem Seme where s he se d s he observo Flerg s he problem of sequell esmg he ses (prmeers or hdde vrbles) of ssem s se of observos become
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 informationReinforcement Learning
Reiforceme Corol lerig Corol polices h choose opiml cios Q lerig Covergece Chper 13 Reiforceme 1 Corol Cosider lerig o choose cios, e.g., Robo lerig o dock o bery chrger o choose cios o opimize fcory oupu
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationChapter 5 Transient Analysis
hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r
More informationCURVE FITTING LEAST SQUARES METHOD
Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued
More informationAn improved Bennett s inequality
COMMUNICATIONS IN STATISTICS THEORY AND METHODS 017,VOL.0,NO.0,1 8 hps://do.org/10.1080/0361096.017.1367818 A mproved Bee s equly Sogfeg Zheg Deprme of Mhemcs, Mssour Se Uversy, Sprgfeld, MO, USA ABSTRACT
More informationDensity estimation III.
Lecure 4 esy esmao III. Mlos Hauskrec mlos@cs..edu 539 Seo Square Oule Oule: esy esmao: Mamum lkelood ML Bayesa arameer esmaes MP Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Eoeal
More informationThe Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces
Advces Pure Mhemcs 3 3 45-49 h://dxdoorg/436/m3346 Pulshed Ole July 3 (h://wwwscrorg/ourl/m) he Producs of Regulrly Solvle Oerors wh her Secr Drec Sum Sces Sohy El-Syed Irhm Derme of Mhemcs Fculy of Scece
More informationHeat kernel methods in finance: the SABR model
He erel eods ce: e SABR odel Crelo Vccro Te wor reseed s reor s bee crred ou w e suor o Reuers Fcl Sowre Pueu Frce d uder e dreco o Adre Bourere o wo e uor s rculrl reul For rers coes or roosos o collboro
More informationDensity estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square
Lecure 5 esy esmao Mlos Hauskrec mlos@cs..edu 539 Seo Square esy esmaos ocs: esy esmao: Mamum lkelood ML Bayesa arameer esmaes M Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Noaramerc
More informationAPPLICATION REGRESSION METHOD IN THE CALCULATION OF INDICATORS ECONOMIC RISK
APPLICATIO REGRESSIO METHOD I THE CALCULATIO OF IDICATORS ECOOMIC RISK Ec. PhD Flor ROMA STA Asrc The ojecve of hs Arcle s o show h ecoomc rsk s flueced mulple fcors, d regresso mehod c eslsh he ee of
More informationModification of the Kolmogorov-Johnson-Mehl-Avrami rate equation for non-isothermal experiments and its analytical solution
Modfco of he ologorov-johso-mehl-avr re eqo for o-soherl eeres d s lycl solo J.Frjs #, P.Ror RM, Dere of Physcs, Uversy of ro, Cs Molv, df. PII, 77 ro, Clo, S. Absrc Avr s odel descrbes he kecs of hse
More informationI I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8
emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h
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 informationReview of Linear Algebra
PGE 30: Forulto d Soluto Geosstes Egeerg Dr. Blhoff Sprg 0 Revew of Ler Alger Chpter 7 of Nuercl Methods wth MATLAB, Gerld Recktewld Vector s ordered set of rel (or cople) uers rrged s row or colu sclr
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 informationMultivariate Regression: A Very Powerful Forecasting Method
Archves of Busess Reserch Vol., No. Pulco De: Jue. 5, 8 DOI:.78/r..7. Vslooulos. (8). Mulvre Regresso: A Very Powerful Forecsg Mehod. Archves of Busess Reserch, (), 8. Mulvre Regresso: A Very Powerful
More informationHeart pacemaker wear life model based on frequent properties and life distribution*
J. Boedcl Scece d Egeerg,, 3, 375-379 JBSE do:.436/jse..345 Pulshed Ole Aprl (hp://www.scrp.org/jourl/jse/). Her pceer wer lfe odel sed o freque properes d lfe dsruo* Qo-Lg Tog, Xue-Cheg Zou, J Tg, Heg-Qg
More informationXidian University Liu Congfeng Page 1 of 49
dom Sgl Processg Cher4 dom Processes Cher 4 dom Processes Coes 4 dom Processes... 4. Deo o dom Process... 4. Chrcerzo o dom Process...4 4.. ol Chrcerzo o dom Process...4 4.. Frs-Order Deses o dom Process...5
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 information13. DYNAMIC ANALYSIS USING MODE SUPERPOSITION
. DYAMI AALYI UIG MODE UPEPOIIO he Mode hes used o Ucoule he Dmc Equlrum Equos eed o Be he Exc Free-Vro Mode hes. EQUAIO O BE OLVED { XE "Mode hes" }{ XE "Mode ueroso Alss" }{ XE "Pece-Wse Ler Lodg" }he
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cpter 7. Smpso s / Rule o Itegrto Ater redg ts pter, you sould e le to. derve te ormul or Smpso s / rule o tegrto,. use Smpso s / rule t to solve tegrls,. develop te ormul or multple-segmet Smpso s / rule
More informationINTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
[Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More information() t ( ) ( ) ( ) ( ) ( ) ( ) ω ω. SURVIVAL Memorize + + x x. m = = =
SURVIVL ' uu λ -Λ : > l + S e e e S ω ο ω ω Ufrm DeMvre S X e Vr X ω λ Eel S X e e λ ω ω ww S + S f ο S + S e where e S S S S S Prcles T X s rm vrble fr remg me ul eh f sus ge f + survvl fuc fr T X f,
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationStudy of Real time Dynamic Preventive Maintenance Policy for Deteriorating Production Systems
Sudy of Rel e Dyc reveve Mece olcy for Deeror roduco Syses Sudy of Rel e Dyc reveve Mece olcy for Deeror roduco Syses Ch-T Che M-H Ch- 3 d Joh Yu 4 Assoce professor Depre of Idusrl Eeer d Mee T-H Isue
More informationIntroduction to Neural Networks Computing. CMSC491N/691N, Spring 2001
Iroduco o Neurl Neorks Compug CMSC49N/69N, Sprg 00 us: cvo/oupu: f eghs: X, Y j X Noos, j s pu u, for oher us, j pu sgl here f. s he cvo fuco for j from u o u j oher books use Y f _ j j j Y j X j Y j bs:
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More informationComparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution
Joural of Mahemacs ad Sascs 6 (2): 1-14, 21 ISSN 1549-3644 21 Scece Publcaos Comarso of he Bayesa ad Maxmum Lkelhood Esmao for Webull Dsrbuo Al Omar Mohammed Ahmed, Hadeel Salm Al-Kuub ad Noor Akma Ibrahm
More informationQuantum Harmonic Oscillator
Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu
More informationSome Unbiased Classes of Estimators of Finite Population Mean
Itertol Jourl O Mtemtcs Ad ttstcs Iveto (IJMI) E-IN: 3 4767 P-IN: 3-4759 Www.Ijms.Org Volume Issue 09 etember. 04 PP-3-37 ome Ubsed lsses o Estmtors o Fte Poulto Me Prvee Kumr Msr d s Bus. Dertmet o ttstcs,
More informationG1-Renewal Process as Repairable System Model
G-Reewl Process s Reprble Sysem Model M.P. Kmsky d V.V. Krvsov Uversy of Mryld College Prk USA Ford Moor Compy Derbor USA Absrc Ths pper cosders po process model wh moooclly decresg or cresg ROCOF d he
More informationNonlocal Boundary Value Problem for Nonlinear Impulsive q k Symmetric Integrodifference Equation
OSR ol o Mec OSR-M e-ssn: 78-578 -SSN: 9-765X Vole e Ve M - A 7 PP 95- wwwojolog Nolocl Bo Vle Poble o Nole lve - Sec egoeece Eo Log Ceg Ceg Ho * Yeg He ee o Mec Yb Uve Yj PR C Abc: A oe ole lve egoeece
More informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationThrough the fractional Riemann Liouville integral x
Volue 7 Issue 5 M 7 ISSN: 77 8X Ierol ourl o Advced Reserch Copuer Scece d Sowre geerg Reserch Pper Avlle ole : wwwjrcsseco se he Soluo o Frcol erel quos wh Trscedel Fucos Mukesh Grover r Aru Kur Toer
More informationNUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationFibonacci and Lucas Numbers as Tridiagonal Matrix Determinants
Rochester Isttute of echology RI Scholr Wors Artcles 8-00 bocc d ucs Nubers s rdgol trx Deterts Nth D. Chll Est Kod Copy Drre Nry Rochester Isttute of echology ollow ths d ddtol wors t: http://scholrwors.rt.edu/rtcle
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 informationKey words: Fractional difference equation, oscillatory solutions,
OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg
More informationParameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data
Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc
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 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 information10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n
0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationExpectation and Moments
Her Sr d Joh W. Woods robbl Sscs d Rdom Vrbles or geers 4h ed. erso duco Ic.. ISB: 978----6 Cher 4 eco d omes Secos 4. eced Vlue o Rdom Vrble 5 O he Vld o quo 4.-8 8 4. Codol ecos Codol eco s Rdom Vrble
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationModified Taylor's Method and Nonlinear Mixed Integral Equation
Uversl Jourl of Iegrl quos 4 (6), 9 wwwpperscecescom Modfed Tylor's Mehod d oler Mxed Iegrl quo R T Moog Fculy of Appled Scece, Umm Al Qurh Uversy Mkh, Kgdom of Sud Ar rmoog_777@yhoocom Asrc I hs pper,
More informationA Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition
SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs
More informationAnalytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases
Itertol Jourl of Advced Reserch Physcl Scece (IJARPS) Volume, Issue 5, September 204, PP 6-0 ISSN 2349-7874 (Prt) & ISSN 2349-7882 (Ole) www.rcourls.org Alytcl Approch for the Soluto of Thermodymc Idettes
More informationApplication of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations
Amerc Jourl of Compuol Appled Mhemcs: ; (: 4-47 DOI:.593/j.jcm..8 Applco of Mulple Exp-Fuco Mehod o Ob Mul-Solo Soluos of ( + - (3 + -Dmesol Breg Solo Equos M. T. Drvsh,*, Mlheh Njf, Mohmmd Njf Deprme
More informationB.S. DHILLON and ZHIJIAN LI
Ieol Joul of efobly Egeeg, Vol., No., Ocobe 5, pp. 79-89. RAMS Coul ed Id B.S. DHILLON d ZHIJIAN LI Depe of Mechcl Egeeg Uvey of Ow Ow, Oo, N 6N5 Cd Receved o Ocobe 3, 4 Abc: Th ppe pee hecl odel o pefo
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
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 informationMarch 14, Title: Change of Measures for Frequency and Severity. Farrokh Guiahi, Ph.D., FCAS, ASA
March 4, 009 Tle: Chage of Measures for Frequecy ad Severy Farroh Guah, Ph.D., FCAS, ASA Assocae Professor Deare of IT/QM Zarb School of Busess Hofsra Uversy Hesead, Y 549 Eal: Farroh.Guah@hofsra.edu Phoe:
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 informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationThe algebraic immunity of a class of correlation immune H Boolean functions
Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More informationSummer MA Lesson 4 Section P.3. such that =, denoted by =, is the principal square root
Suer MA 00 Lesso Sectio P. I Squre Roots If b, the b is squre root of. If is oegtive rel uber, the oegtive uber b b b such tht, deoted by, is the pricipl squre root of. rdicl sig rdicl expressio rdicd
More informatione t dt e t dt = lim e t dt T (1 e T ) = 1
Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie
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 informationd dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin
Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace
More informationA NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER
Jourl of ure d Appled Mhemcs: Advces d Applcos Volume 9 Numer ges -9 Avlle hp://scefcdvcesco DOI: hp://dxdoorg/6/ms_9 A NEW FIVE-OINT BINARY UBDIVIION CHEME WITH A ARAMETER YAN WANG * d HIMING LI chool
More information