Mixed MLPG Staggered Solution Procedure in Gradient Elasticity for Modeling of Heterogeneous Materials
|
|
- Oliver Stone
- 5 years ago
- Views:
Transcription
1 Mxed MLPG Saered Solon Proedre n Graden Elay for Modeln of Heeroeneo Maeral Bor alšć 1 ra Sorć 1 and Tomlav arak 1 Abra A mxed MLPG olloaon mehod appled for modeln of deformaon repone of heeroeneo maeral n raden elay. Heren a heeroeneo maeral doman ompred of wo orop homoeneo par wh dfferen maeral ela propere ondered. The olon for he enre doman obaned by enforn he orrepondn bondary ondon alon he nerfae of he homoeneo doman. For he approxmaon of he nknown feld varable he Movn Lea Sqare (MLS) fnon wh nerpolaory ondon are appled. The ran raden elay baed on he Afan heory wh one mrorral parameer lzed. The ornal forhorder eqlbrm eqaon of raden elay are olved n a aered manner a an nopled eqene of wo e of eond-order dfferenal eqaon. The propoed mxed mehle approah eed and demonraed by a repreenave nmeral example. eyword: Mxed mehle approah olloaon mehod aered olon proedre heeroeneo maeral 1 nrodon owaday a lare nmber of dfferen mehle mehod are lzed for he modeln of maeral deformaon repone. Th de o her benefal haraer n omparon o andard meh-baed mehod. The mehle nmeral approahe are able o overome problem h a elemen doron and me-demandn meh eneraon proe. everhele he allaon of mehle approxmaon fnon de o hh ompaonal o ll a major drawbak. Th defeny an be allevaed o a eran exen by n he mxed Mehle Loal Perov-Galerkn (MLPG) Mehod paradm [Alr L Han (006)]. n he preen onrbon he MLPG formlaon baed on he mxed approah adaped for he modeln of deformaon repone of heeroeneo maeral baed on he ran raden elay heory. A heeroeneo rre on of wo homoeneo maeral whh are drezed by rd pon n whh eqlbrm eqaon are mpoed. n addon he ran raden elay baed on he Afan heory wh only one mrorral parameer ondered. The raden heory ed n order o more araely apre he maeral behavor near he nerfae beween reon wh dfferen maeral propere and o remove jmp n he ran feld ha an be oberved when a laal heory of lnear elay ed. The olon of forh-order dfferenal eqaon arn n non-la heore reqre a hh-order of approxmaon fnon [Ake Afan (011)]. Hene n he Fne Elemen Mehod (FEM) for olvn h ype of problem no a we hoe ne andard formlaon need o poe C 1 onny whh lead o omplaed hape fnon wh lare nmber of nodal deree of freedom even f mxed elemen are lzed [Amanado Arava (00)]. Therefore hee FEM proedre hold no be ed de o her neffeny relaed o hh nmeral o [Ake Afan (011)]. On he oher hand he reqred C 1 onny obanable n a mple and a rahforward manner when he mehle mehod are ondered [Alr (004)]. n he propoed mehod he forh-order eqlbrm eqaon of raden elay are olved a an nopled eqene of wo e of he eond-order dfferenal eqaon [Ake Moraa (008)] for he prpoe of frher derean he onny reqremen of he formlaon. Hene wo dfferen bondary vale problem loal (laal) and non-loal (raden) are ben olved where he olon of he former problem ed a an np n he laer problem. n boh bondary vale problem ndependen varable are approxmaed n mehle fnon n h a way ha eah maeral reaed a a eparae problem [Chen Wan H Ch (009)]. The lobal olon for he enre heeroeneo rre aqred by enforn approprae bondary ondon alon he nerfae of wo homoeneo doman. The applaon of he aered olon heme [Ake Moraa (008)] lzn he mxed mehle approah rel n le omplaed mehle formlaon whh only ha he C 0 reqremen on he approxmaon fnon. A olloaon mehle mehod ed whh may be ondered a a peal ae of he MLPG approah where he Dra dela fnon ed a he e fnon. Sne he olloaon mehod employed he ron form of eqlbrm eqaon employed and me-onmn nmeral neraon proe avoded. The MLS approxmaon fnon [Alr (004)] wh nerpolaory propere (MLS) are appled [Mo Bher (008)]. Th enable mple mpoon of eenal bondary ondon a n FEM. aral bondary ondon on oer ede are enfored va he dre olloaon approah. n he loal 1 Faly of Mehanal Enneern and aval Arhere Unvery of Zareb vana Lčća Zareb Croaa.
2 problem he laal lnear ela bondary vale problem for eah homoeneo maeral drezed by n he ndependen approxmaon of laal ran and laal dplaemen. n order o derve he fnal loed yem of laal drezed eqaon wh he laal dplaemen a only nknown he approxmaed laal ran are expreed n erm of laal dplaemen n approprae knema relaon. n he mlar manner for he drezaon of he non-loal bondary vale problem ndependen approxmaon of he raden dplaemen dplaemen and he dervave of raden are lzed. Heren o oban he fnal k olvable yem of drezed raden eqaon he approxmaed dervave are wren n erm of raden dplaemen a he olloaon node. The mxed MLPG olloaon mehod for he modeln of deformaon repone of a heeroeneo maeral n raden elay preened and explaned a lare n Seon. The propoed mehod eed and analyzed by ondern a problem of he lamped heeroeneo plae bjeed o nform dplaemen a he rh end n Seon 3. n Seon 4 onldn remark and frher reearh delne are ven. Mxed MLPG Mehod for Graden Elay The wo-dmenonal heeroeneo maeral whh ope he lobal ompaonal doman rronded by he lobal oer bondary ondered. The bondary repreen he nerfae beween wo bdoman and wh dfferen homoeneo maeral propere. eparae he lobal doman n h a manner ha and. j dnh wheher he laal or raden bondary vale problem ben olved. The ame analoy apple o all oher bondare where ome knd of bondary ondon prerbed e.. he nerfae bondary n he laal bondary vale problem denoed a whle n he raden one denoed. Hene he ypal heeroeneo maeral ben analyzed now porrayed n F. 1. The overnn eqaon for he preened example are he ron form D eqlbrm eqaon whh have o be afed whn he lobal ompaonal doman dvded no and. Aordn o he aered olon proedre derbed n [Ake Moraa (008)] wo e of eondorder paral dfferenal eqaon an be lzed o derbe he deformaon of he heeroeneo maeral. Thee eqaon are here wren for eah homoeneo maeral eparaely. Th he fr eqaon e repreenn he laal bondary vale problem eqal o σ b 0 whn (1) j x j σ b 0 whn () j x j Whle he eond eqaon e for he non-loal raden problem lze a mrorral parameer l and expreed a l whn (3) mm l whn. (4) mm A evden frly he laal bondary vale problem olved whoe olon hen ed a an np on he rh hand de of he raden eqaon. n h operaor-pl proedre he laal and raden bondary ondon need o be afed on he oer bondare of he heeroeneo rre dependn on whh problem rrenly ben olved. Hene a n [Alr L Han (006)] he laal bondary ondon nlde he dplaemen and raon eqal o on (5) on (6) n on (7) j j Fre 1: Two-dmenonal heeroeneo maeral Frhermore ne n he aered proedre wo dfferen bondary vale problem are olved one afer he oher he lobal bondary an be denoed a or o n on (8) j j whle he raden bondary ondon an be he dplaemen and eond-order normal dervave of
3 dplaemen R [Polzzoo (003)] where jk denoe he hrd-order enor ompred of eond dervave of dplaemen on (9) on (10) R n j nk jk R on + n R n j nk jk R on. n (11) (1) Frhermore o aqre he olon for he enre rre he ondon on he nerfae bondare and need o be enfored for boh he laal and he raden problem. Aordn o [Ake Moraa (008)] f he laal elay problem olved hee bondary ondon are he onny of dplaemen and reproy of raon 0 on (13) + n n 0 on. (14) + + j j j j On he oher hand f he raden problem ondered he nerfae bondary ondon nlde he onny of dplaemen and reproy of fr-order normal dervave of dplaemen 0 on (15) + n n + 0 on +. (16) The wo-dmenonal heeroeneo onnm drezed by wo e of node 1... and M 1... P where and P ndae he oal nmber of node whn and repevely. Heren he ame e and poon of he node are ed for he drezaon of boh he laal and he raden bondary vale problem. ow for eah ondered drezaon node he MLPG onep [Alr (004)] appled wheren he Dra dela e fnon hoen a he weh fnon n loal weak form and he loal approxmaon doman are defned arond eah node n order o ompe he onnevy beween he node. For he node pooned on he nerfae bondare he approxmaon doman are rnaed n h a manner ha he drezaon node from one homoeneo maeral nflene only he node belonn o ha maeral. For he drezaon of boh bondary vale problem he mxed olloaon proedre [Alr L Han (006)] lzed. All nknown feld varable are approxmaed eparaely whn bdoman and where he ame approxmaon fnon are employed for all feld omponen. For he hape fnon onron he well-known MLS approxmaon heme [Alr (004)] employed. The nerpolaory propere of he MLS approxmaon fnon are aheved by lzn he weh fnon aordn o [Mo Bher (008)]. Sne he drezaon of he laal bondary vale problem n he mxed MLPG approah well domened n he enf lerare he derpon of he obaned eqaon for he laal problem here kpped and he reader referred o [alšć Sorć arak (017)] where h approah derbed n deph. n h onrbon he man fo hfed o he drezaon of he raden bondary vale problem and he orrepondn bondary ondon. Here he dplaemen and dervave of dplaemen are nknown feld varable. Th for he node whn he maeral and node pooned on he bondare and hee approxmaon are wren a ( h) n 1 ( x) ( x )( ) wh (17) ( h) G 1 ( ) ( x) ( x )( ) whn (18) where repreen he nodal vale of wo-dmenonal hape fnon for node and for he nmber of node whn he approxmaon doman whle and G denoe he nodal vale of he dplaemen and dervave of dplaemen omponen. ow frly he overnn eqaon of he raden problem (3) and (4) are rewren n her marx form a he drezaon node n he doman and [ ( )] l (19) +T [ ( )] l (0) T M M M where T ( ) denoe he Laplaan operaor wren n marx form. Hene he operaor +T and are eqal o ( ) ( ) ( x) 0 ( x) 0 x1 x ( ) ( ) 0 ( x) 0 ( x) x1 x (1)
4 T ( ) ( ) ( xm) 0 ( xm) 0 x1 x. ( ) ( ) 0 ( xm) 0 ( xm) x1 x () The overnn eqaon (19) and (0) are now mlaneoly drezed by he approxmaon (17) and (18) reln n +T l [ ( G)] 1 1 (3) T l [ ( G)] M 1 1. (4) n he above eqaon G and G denoe he veor of nknown dervave of dplaemen defned by (5) x x x x [ T 1 1 G ] [ ] 1 1 (6) x x x x T 1 1 [ G ] [ ]. 1 1 A obvo he eqaon (3) and (4) repreen an nolvable yem ne he lobal nmber of nodal nknown larer han he nmber of eqaon. Th he yem of eqaon here loed mply by enforn he ompably a eah node beween he approxmaed nodal dervave of dplaemen ( h) G G ( h) G G ( x ) and ( x ) and he nodal dplaemen and repevely. Hene he ompably eqaon wren n knema dfferenal operaor D and D are D (7) G D. (8) G Eqaon (7) and (8) are now aan wren a every drezaon node and drezed by (17) whh yeld G ( 1 1 (9) D x ) G G 1 1 (30) D ( x ) G where G G x and G G x ndae he mare onn of he fr-order dervave of hape fnon wren analooly o operaor n (1) and (). nern he drezed ompably relaon (9) and (30) no he drezed overnn eqaon (3) and (4) a olvable yem of lnear alebra eqaon wh only he nodal dplaemen a nknown aaned F wh n (31) F wh n (3) M M where he raden nodal oeffen mare are eqal o T + l and S [ G G ] (33) T M M l M S [ G G ]. (34) + Heren he mare S and S M are he daonal mare omprn of nodal hape fnon vale + ( x) 0 S 0 ( x ) S M ( xm) 0. 0 ( x ) The raden nodal fore veor M F and + M M (35) (36) F n (31) and (3) are ompoed of he known vale of laal dplaemen. A obvo by lzn he aered proedre and he preened mxed mehle raey he oeffen mare and + are aembled n only he fr-order dervave of hape fnon. All approxmaon fnon n h onrbon poe he nerpolaon propery a he node. Coneqenly he eenal bondary ondon are enfored rahforwardly analooly o he proedre n FEM. Therefore by drezn he dplaemen bondary ondon (9) and (10) wh he approxmaon (17) we oban on (37) 1 on (38) The naral bondary ondon (11) and (1) on he bondare and are mpoed n he dre + olloaon approah. Here n order o derve he drezed eqaon of he naral bondary ondon dependen only on he nodal vale of nknown dplaemen he ompably beween eond-order and fr-order dervave of dplaemen a he olloaon node mpoed. Hene for he heeroeneo rre h M ompably an be wren n dfferenal operaor and D eqal o SG G D D (39) D (40) SG G
5 SG + where û SG and denoe he veor of nknown nodal eond-order dervave of dplaemen. ow by employn he eqaon (39) and (40) and he ompably beween he fr-order dervave and he dplaemen defned by (7) and (8) alon wh he dplaemen approxmaon (17) we oban he follown drezed expreon for raden naral bondary ondon + SG+ + on 1 1 R H G (41) SG M M M n 1 1 R H G o. (4) n he above eqaon he mare H and H M onne he eond- and fr-order dervave of dplaemen va he fr-dervave of hape fnon H H ( x) 0 ( x) x1 x ( x) 0 ( x) x x 0 ( ) ( x ) 0 x T 1 F x x T F (43) ( xm) 0 ( xm) x1 x ( xm) 0 ( xm) x1 x 0 ( xm ) x ( xm ) 0 x (44) whle he mare G and G are analoo o he one defned by (9) and (30). Thee eqaon are now nered no he lobal oeffen marx n he row orrepondn o he rren node pooned on and repevely. For he node on he bondary he nerfae ondon (15) and (16) are drezed by n approxmaon (17) and (18) whle alo lzn he drezed ompably ondon (9) and (30) n he reproy of naral bondary ondon. Hene he fnal form of he drezed nerfae ondon of h proedre ae on (45) G+ + G M M 1 1 G G on (46) G+ G where and M denoe he mare ompoed of he n normal veor aoaed o he fr-order dervave of dplaemen. 3 meral Example 3.1 Plae nder nform dplaemen A heeroeneo plae lzed n order o e he ably of he propoed mehod o remove donne from he ran feld. The maeral propere of he lef par of he plae are aken a E 1000 and 0.5 whle he maeral daa of he rh de are E and 0.3. The eomery of eah homoeneo bdoman defned by he lenh L 3 and he heh H 3. The lef de of he plae fxed whle he n dplaemen mpoed on he rh de. The eomery and he bondary ondon are defned and deped n F. and F. 3. Fre : Plae wh laal bondary ondon Fre 3: Plae wh raden bondary ondon For he verfaon of he preened mxed olloaon approah he drbon of he ran omponen and xy alon he lne y 0.9 are porrayed n F. 4 and F. 5 for wo dfferen vale of he mrorral parameer l. The plae drezed by he nform nodal drbon n boh x and y dreon n 4 node where h defne he horzonal and veral dane beween node. The eond-order MLS fnon are appled for he olon of he problem wh he ze of he approxmaon doman eqal o r.4h. A evden from he drbon of he ran x
6 omponen he e of he mrorral parameer larer han zero ae he hane n he ran feld a and arond he nerfae of he homoeneo doman. Fre 4: Drbon of ran x for y 0.9 Fre 5: Drbon of ran xy for y 0.9 For l 0 no donny n he ran feld oberved a he nerfae bondary. Aordnly an be onlded ha he mehod able for moohn he ran feld. 4 Conlon The mxed olloaon mehod baed on he Mehle Loal Perov-Galerkn (MLPG) onep ha been propoed and appled for he modeln of deformaon repone of heeroeneo maeral baed on raden elay. The problem olved n a aered manner n he Afan ran raden heory wh only one nknown mrorral parameer whereby frly he bondary vale problem of laal elay olved whoe olon hen ed a he np for he orrepondn raden bondary vale problem. Boh problem are derbed by he eond-order eqaon nead of he ornal forh-order dfferenal eqaon. By employn he mxed MLPG onep he neeary dervave order of approxmaon fnon frher reded n he eqaon. Gven ha a olloaon mehod ed here no need for nmeral neraon. Th he applaon of he aered olon heme and he mxed mehle approah rel n an arae and able nmeral formlaon where only he fr-order dervave of hape fnon need o be allaed. The raden heory ed here n order o more araely apre he maeral behavor near he nerfae beween reon wh dfferen maeral propere and o remove jmp n he ran feld ha an be oberved when a laal heory of lnear elay ed. Th enable more phyal derpon of he ranon of he ran drbon beween varo homoeneo maeral reon nde heeroeneo rre. n frher reearh he derbed mehle ompaonal raey wll be exended o he modeln of damae naon n he zone where he ran loalzaon preen and ondered for he e n mehle mlale ompaon alorhm. Aknowledemen: Th work ha been flly ppored by Croaan Sene Fondaon nder he proje 516. Referene: Amanado E.; Arava. (00): Mxed Fne Elemen Formlaon of Sran-raden Elay Problem. Comper Mehod n Appled Mehan and Enneern vol. 191 pp Ake H.; Afan E. C. (011): Graden Elay n Sa and Dynam: An overvew of formlaon lenh ale denfaon proedre fne elemen mplemenaon and new rel. nernaonal ornal of Sold and Srre vol. 48 pp Ake H.; Moraa.; Afan E. C. (008): Fne Elemen Analy wh Saered Graden Elay. Comper & Srre vol. 86 pp Alr S.. (004): The Mehle Mehod (MLPG) for Doman & BE Drezaon. Teh. Sene Pre Foryh USA. Alr S..; L H. T.; Han Z. D. (006): Mehle Loal Perov-Galerkn (MLPG) Mxed Colloaon Mehod for Elay Problem. CMES: Comper Modeln n Enneern & Sene vol. 14 no. 3 pp Chen.-S.; Wan L.; H H.-Y.; Ch S.-W. (009): Sbdoman radal ba olloaon mehod for heeroeneo meda. nernaonal ornal for meral Mehod n Enneern vol. 80 pp alšć B.; Sorć.; arak T. (017): Mxed Mehle Loal Perov-Galerkn Colloaon Mehod for Modeln of Maeral Donny. Compaonal Mehan vol. 59 pp Mo T.; Bher C. (008): ew Conep for Movn Lea Sqare: An nerpolan onnlar Wehn Fnon and Wehed odal Lea Sqare. Enneern Analy wh Bondary Elemen vol. 3 no. 6 pp Polzzoo C. (003): Graden Elay and onandard Bondary Condon. nernaonal ornal of Sold and Srre vol. 40 no. 6 pp
Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004
Mehod of Charaerss for Pre Adveon By Glbero E Urroz Sepember 004 Noe: The followng noes are based on lass noes for he lass COMPUTATIONAL HYDAULICS as agh by Dr Forres Holly n he Sprng Semeser 985 a he
More informationBlock 5 Transport of solutes in rivers
Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow
More informationBOUNDARY VALUE PROBLEMS FOR DIFFERENTIAL EQUATIONS BY USING LIE GROUP
Jornal of Theoreal and Appled Informaon Tehnology s Oober 8. Vol.96. No ongong JATIT & LLS ISSN: 99-86 www.ja.org E-ISSN: 87-9 BOUNDARY VALUE PROBLEMS FOR DIFFERENTIAL EQUATIONS BY USING LIE GROUP EMAN
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationSolution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM)
Appled and ompaonal Mahemacs 4; 3: 5-6 Pblshed onlne Febrary 4 hp://www.scencepblshnggrop.com//acm do:.648/.acm.43.3 olon of a dffson problem n a non-homogeneos flow and dffson feld by he negral represenaon
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationCONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS
APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More informationInvestigation of underground dam in coastal aquifers for prevention of saltwater intrusion
Avalable onlne a www.pelagareearlbrary.om elaga Reear Lbrary Advane n Appled Sene Reear 0 4(4:9-98 ISSN: 0976-860 CODEN (SA: AASRFC Invegaon of ndergrond dam n oaal aqfer for prevenon of alwaer nron Med
More informationPendulum Dynamics. = Ft tangential direction (2) radial direction (1)
Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationControl Systems. Mathematical Modeling of Control Systems.
Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationCooling of a hot metal forging. , dt dt
Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered
More informationGraphene nanoplatelets induced heterogeneous bimodal structural magnesium matrix composites with enhanced mechanical properties
raphene nanoplaele nce heerogeneo bmoal rcral magnem marx compoe wh enhance mechancal propere Shln Xang a, b, Xaojn Wang a, *, anoj pa b, Kn W a, Xaoh H a, ngy Zheng a a School of aeral Scence an ngneerng,
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More information(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function
MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More information, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables
Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as
More informationConvection and conduction and lumped models
MIT Hea ranfer Dynamc mdel 4.3./SG nvecn and cndcn and lmped mdel. Hea cnvecn If we have a rface wh he emperare and a rrndng fld wh he emperare a where a hgher han we have a hea flw a Φ h [W] () where
More informationResearch Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel
Researc Jornal of Appled Scences, Engneerng and Tecnology 7(): 65-7, 4 DOI:.96/afs.7.5 ISS: 4-7459; e-iss: 4-7467 4 Mawell Scenfc Pblcaon Corp. Sbmed: Jne 8, Acceped: Jly 9, Pblsed: Marc 5, 4 Researc Arcle
More informationThe Elastic Wave Equation. The elastic wave equation
The Elasc Wave Eqaon Elasc waves n nfne homogeneos soropc meda Nmercal smlaons for smple sorces Plane wave propagaon n nfne meda Freqency, wavenmber, wavelengh Condons a maeral dsconnes nell s Law Reflecon
More informationLecture Notes 4: Consumption 1
Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s
More informationAppendix H: Rarefaction and extrapolation of Hill numbers for incidence data
Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationDynamics instability analysis of multi-walled carbon nanotubes conveying fluid A. Azrar 1,a, L. Azrar 1,2,b, A. A. Aljinadi 2,c and M.
Adaned Maerals esearh Onlne: -- ISS: -898, Vol. 8, pp - do:.8/.senf.ne/am.8. Trans Teh Pblaons, Szerland Dynams nsably analyss of ml-alled arbon nanobes oneyng fld A. Azrar,a, L. Azrar,,b, A. A. Aljnad,
More informationReconstruction of Variational Iterative Method for Solving Fifth Order Caudrey-Dodd-Gibbon (CDG) Equation
Shraz Unvery of Technology From he SelecedWor of Habbolla Lafzadeh Reconrcon of Varaonal Ierave Mehod for Solvng Ffh Order Cadrey-Dodd-Gbbon (CDG Eqaon Habbolla Lafzadeh, Shraz Unvery of Technology Avalable
More informationStochastic Programming handling CVAR in objective and constraint
Sochasc Programmng handlng CVAR n obecve and consran Leondas Sakalaskas VU Inse of Mahemacs and Informacs Lhana ICSP XIII Jly 8-2 23 Bergamo Ialy Olne Inrodcon Lagrangan & KKT condons Mone-Carlo samplng
More informationMethods of Improving Constitutive Equations
Mehods o mprovng Consuve Equaons Maxell Model e an mprove h ne me dervaves or ne sran measures. ³ ª º «e, d» ¼ e an also hange he bas equaon lnear modaons non-lnear modaons her Consuve Approahes Smple
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationDynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d
Inernaonal Indsral Informacs and Comper Engneerng Conference (IIICEC 5) Dynamc Model of he Aally Movng Vscoelasc Bel Sysem wh Tensoner Plley Yanq L, a, Hongy Wang, b, Dongng Cao, c, Xaolng Ga, d Bejng
More informationTurbulence Closure Schemes
/5/5 Trblene n Flds Trblene Closre Shemes Beno Cshman-Rosn Thayer Shool of Engneerng Darmoh College Reall: Eqaons governng he Reynolds sresses and rblen hea fl Problem srfaes! When wrng he eqaons governng
More informationDEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL
DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationENSURING OF MILKING EQUIPMENT WASHING LIQUID OPERATION TEMPERATURE
113 ENSURNG OF MLKNG EQUPMEN WASHNG LQUD OPERAON EMPERAURE Lava Unversy of Arlre ABSRAC he arle presens mahemaal ssanaon of hea leak from he washn lqd rlan n he mlkn eqpmen n addon, he possles of redn
More informationModel-Based FDI : the control approach
Model-Baed FDI : he conrol approach M. Saroweck LAIL-CNRS EUDIL, Unver Llle I Olne of he preenaon Par I : model Sem, normal and no normal condon, fal Par II : he decon problem problem eng noe, drbance,
More informationCOMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2
COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationAdaptive Nonlinear Control Algorithms for Robotic Manipulators
Proeedn o e 7 WSES nernaonal Conerene on oaon noraon Caa Croaa Jne -5 pp8-88 dape Nonlnear Conrol lor or Roo Manplaor EUGEN BOBŞU DN POPESCU Deparen o oa Conrol Uner o Craoa Cza Sr No RO-585 Craoa ROMN
More information2.1 Constitutive Theory
Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationThe Maxwell equations as a Bäcklund transformation
ADVANCED ELECTROMAGNETICS, VOL. 4, NO. 1, JULY 15 The Mawell equaons as a Bäklund ransformaon C. J. Papahrsou Deparmen of Physal Senes, Naval Aademy of Greee, Praeus, Greee papahrsou@snd.edu.gr Absra Bäklund
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More informationLet s treat the problem of the response of a system to an applied external force. Again,
Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem
More informationSound Transmission Throough Lined, Composite Panel Structures: Transversely Isotropic Poro- Elastic Model
Prde nvery Prde e-pb Pblcaon of he Ray. Herrc aboraore School of Mechancal Engneerng 8-5 Sond Tranmon Throogh ned, Comoe Panel Srcre: Tranverely Ioroc Poro- Elac Model J Sar Bolon Prde nvery, bolon@rde.ed
More informationChapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are
Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationVI. Computational Fluid Dynamics 1. Examples of numerical simulation
VI. Comaonal Fld Dnamcs 1. Eamles of nmercal smlaon Eermenal Fas Breeder Reacor, JOYO, wh rmar of coolan sodm. Uer nner srcre Uer lenm Flow aern and emerare feld n reacor essel n flow coas down Core Hh
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION
MACROECONOMIC THEORY T. J. KEHOE ECON 85 FALL 7 ANSWERS TO MIDTERM EXAMINATION. (a) Wh an Arrow-Debreu markes sruure fuures markes for goods are open n perod. Consumers rade fuures onras among hemselves.
More informationOutput equals aggregate demand, an equilibrium condition Definition of aggregate demand Consumption function, c
Eonoms 435 enze D. Cnn Fall Soal Senes 748 Unversy of Wsonsn-adson Te IS-L odel Ts se of noes oulnes e IS-L model of naonal nome and neres rae deermnaon. Ts nvolves exendng e real sde of e eonomy (desred
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationPre-commitment, the Timeless Perspective, and Policymaking from Behind a Veil of Uncertainty. Richard Dennis. Federal Reserve Bank of San Francisco
Pre-ommmen, he Tmele Perpeve, and Polymakn from Behnd a Vel of Unerany Rhard Denn Federal Reerve Bank of San Frano Auu J Clafaon: 5, C6 Abra Woodford 999 develop he noon of a melely opmal pre-ommmen poly.
More informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationElectromagnetic waves in vacuum.
leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons
More informationAnisotropic Behaviors and Its Application on Sheet Metal Stamping Processes
Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng
More informationDifferent kind of oscillation
PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.
More informationSolving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences
Jornal of Kfa for Maemacs and Compe Vol. No.7 Dec pp 77-5 Solvng Parabolc Paral Delay Dfferenal Eqaons Usng e Eplc Meod And Hger Order Dfferences Asss. Prof. Amal Kalaf Haydar Kfa Unversy College of Edcaon
More informationH = d d q 1 d d q N d d p 1 d d p N exp
8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d
More informationI-POLYA PROCESS AND APPLICATIONS Leda D. Minkova
The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced
More informationCOHESIVE CRACK PROPAGATION ANALYSIS USING A NON-LINEAR BOUNDARY ELEMENT FORMULATION
Bluher Mehanal Engneerng Proeedngs May 2014, vol. 1, num. 1 www.proeedngs.bluher.om.br/eveno/10wm COHESIVE CRACK PROPAGATION ANALYSIS USING A NON-LINEAR BOUNDARY ELEMENT FORMULATION H. L. Olvera 1, E.D.
More informationA Demand System for Input Factors when there are Technological Changes in Production
A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem
More informationBackcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms
Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve
More informationShould Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth
Should Exac Index umbers have Sandard Errors? Theory and Applcaon o Asan Growh Rober C. Feensra Marshall B. Rensdorf ovember 003 Proof of Proposon APPEDIX () Frs, we wll derve he convenonal Sao-Vara prce
More informationChapter Finite Difference Method for Ordinary Differential Equations
Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationAdvanced Machine Learning & Perception
Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel
More informationLaplace Transformation of Linear Time-Varying Systems
Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationProblem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions.
Problem Se 3 EC450A Fall 06 Problem There are wo ypes of ndvduals, =, wh dfferen ables w. Le be ype s onsumpon, l be hs hours worked and nome y = w l. Uly s nreasng n onsumpon and dereasng n hours worked.
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More informationCalculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation
Ressance s obaned from he sm of he frcon and pressre ressance arables o deermne: - eloc ecor, (3) = (,, ) = (,, ) - Pressre, p () ( - Dens, ρ, s defned b he eqaon of sae Ressance and Proplson Lecre 0 4
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationMulti-grid Beam and Warming scheme for the simulation of unsteady flow in an open channel
l-grd eam and Warmng sheme for he smlaon of nseady flow n an open hannel ad Rahmpor * and Al Tavaol Waer Engneerng Deparmen, hahd ahonar nversy of Kerman, Iran Deparmen of ahemas, Val-e-Asr nversy of Rafsanan,
More informationPart II CONTINUOUS TIME STOCHASTIC PROCESSES
Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:
More informationF-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction
ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or
More informationEE241 - Spring 2003 Advanced Digital Integrated Circuits
EE4 EE4 - rn 00 Advanced Dal Ineraed rcus Lecure 9 arry-lookahead Adders B. Nkolc, J. Rabaey arry-lookahead Adders Adder rees» Radx of a ree» Mnmum deh rees» arse rees Loc manulaons» onvenonal vs. Ln»
More informationSSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018
SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationGradient Flow Independent Component Analysis
Graden Fow Independen Componen Anay Mun Sanaćevć and Ger Cauwenbergh Adapve Mcroyem ab John Hopkn Unvery Oune Bnd Sgna Separaon and ocazaon Prncpe of Graden Fow : from deay o empora dervave Equvaen ac
More information, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max
ecure 8 7. Sabiliy Analyi For an n dimenional vecor R n, he and he vecor norm are defined a: = T = i n i (7.) I i eay o how ha hee wo norm aify he following relaion: n (7.) If a vecor i ime-dependen, hen
More informationCausality Consistency Problem for Two Different Possibilistic Causal Models
nernaonal ymoum on Medcal nformac and Fuzzy Technoloy (MF99. 82-89 Hano (Au. 999 Caualy Conency Problem for Two Dfferen Poblc Caual Model Koch YAMADA Dearmen of Plannn and Manaemen cence Naaoka Unvery
More informationTime-interval analysis of β decay. V. Horvat and J. C. Hardy
Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae
More informationObserver Design for Nonlinear Systems using Linear Approximations
Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:
More informationDual Approximate Dynamic Programming for Large Scale Hydro Valleys
Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored
More informationEE 410/510: Electromechanical Systems Chapter 3
EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All
More informationVariational method to the second-order impulsive partial differential equations with inconstant coefficients (I)
Avalable onlne a www.scencedrec.com Proceda Engneerng 6 ( 5 4 Inernaonal Worksho on Aomoble, Power and Energy Engneerng Varaonal mehod o he second-order mlsve aral dfferenal eqaons wh nconsan coeffcens
More informationReal-Time Trajectory Generation and Tracking for Cooperative Control Systems
Real-Tme Trajecor Generaon and Trackng for Cooperave Conrol Ssems Rchard Mrra Jason Hcke Calforna Inse of Technolog MURI Kckoff Meeng 14 Ma 2001 Olne I. Revew of prevos work n rajecor generaon and rackng
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationElectromagnetic energy, momentum and forces in a dielectric medium with losses
leroane ener, oenu and fores n a deler edu wh losses Yur A. Srhev he Sae Ao ner Cororaon ROSAO, "Researh and esn Insue of Rado-leron nneern" - branh of Federal Senf-Produon Cener "Produon Assoaon "Sar"
More informationTurbulence Modelling (CFD course)
Trblence Modellng (CFD corse) Sławomr Kbac slawomr.bac@mel.pw.ed.pl 14.11.016 Copyrgh 016, Sławomr Kbac Trblence Modellng Sławomr Kbac Conens 1. Reynolds-averaged Naver-Soes eqaons... 3. Closre of he modelled
More information