IMPACT MODELING BY MANIFOLD APPROACH IN EXPLICIT TRANSIENT DYNAMICS
|
|
- Lynn Bond
- 5 years ago
- Views:
Transcription
1 COMPDYN III ECCOMS Themac Conference on Compuaonal Mehods n Srucural Dynamcs and Earhquake Engneerng M. Papadrakaks, M. Fragadaks, V. Plevrs (eds.) Corfu, Greece, 5 8 May IMPCT MODELING Y MNIFOLD PPROCH IN EXPLICIT TRNSIENT DYNMICS Tmo J. Saksala *, Jar M. Mäknen,, Deparmen of Mechancs and Desgn, Tampere Unversy of Technology P.O. ox 589, FI-33 Tampere, Fnland mo.saksala@u.f, jar.m.maknen@u.f Keywords: Explc dynamcs, Conac mechancs, Lagrange mulpler mehod, Penaly mehod, Consran manfold. bsrac. In hs paper we sudy numercally dfferen mehods o mpose conac consrans n explc dynamcs. The radonal mehods, he penaly mehod and he more recen forward ncremen Lagrange mulpler mehod, are compared, n her performance and accuracy, o a drec elmnaon mehod based on he heory of manfolds. The dea of he mehod s ha when a conac consran s acve he soluon les on he boundary of he conac manfold generaed by conac consrans. Then he conac problem can be solved wh he elmnaon of addonal degrees of freedom. Ths elmnaon echnque can be vewed as a parameerzaon of he conac manfold. We show numercally ha n he case of a rgd mpacor, he elmnaon mehod s hghly more effcen han he forward Lagrange mulpler mehod snce he laer leads o a coupled sysem of equaons for solvng he Lagrange mulplers whle boh mehods produce smlar resuls. In he presen work he elmnaon mehod s also developed for he mpac problem of deformable bodes and he performance of he dfferen mehods are compared n numercal smulaons of he longudnal mpac of hck bars. The modfed Euler mehod s employed n solvng he equaons of moon n me.
2 Tmo J. Saksala, Jar M. Mäknen INTRODUCTION The radonal mehod o mpose conac consrans n explc ransen dynamcs s he penaly funcon mehod. I s, however, an approxmae mehod and has an adverse effec on he numercal sably of explc negraon. For hs reason, Carpener e al. [] nroduced a modfcaon of Lagrange mulpler mehod, called Forward Incremen Lagrange Mulpler mehod (FILM), whch s compable wh explc me negraors and does no affec he sably of negraon. The dea of he mehod s o refer he knemac conac consrans one me sep ahead of he equaons of moon and he Lagrange mulplers. Wh general conac nerfaces, hs mehod leads o a coupled sysem of equaons for he Lagrange mulplers. Therefore, f he number of conac pars s large s no effecve. In hs paper we presen an alernave and effcen mehod for mpac modelng n explc ransen dynamcs. The mehod, called here DME (Drec Manfold Elmnaon mehod) s based on he heory of manfolds. Conac consrans,.e. he dsplacemen nequales, generae a consran manfold wh a boundary []. When a conac consran s acve he soluon les on he boundary of he conac manfold. Ths mehod was employed by Saksala & Mäknen [3] n case of a rgd pson mpacng an elaso-vscoplasc damagng doman. In ha case, he conac consrans,.e. he mpenerably condons beween he pson node and rock surface nodes, were elmnaed. In he presen paper, hs formulaon s also performed n he case of a deformable mpacor and he node-o-node conac nerface. The developed echnque s mplemened n D (axsymmerc) case. In he numercal examples nvolvng mpacs beween lnear elasc bodes and dynamc ndenaon by a rgd ndener, he accuracy and effcency of he manfold mehod s compared o he penaly funcon mehod and he forward ncremen Lagrange mulpler mehod. The modfed Euler explc negraor s used for solvng he FE dscrezed equaons of moon n me. IMPOSITION OF CONTCT CONSTRINTS In hs secon we descrbe he radonal mehods, he penaly mehod and he more recen forward ncremen Lagrange mulpler mehod, as well as he manfold mehod o mpose knemac conac consrans n explc me negraon seng. The background for he manfold mehod s elaboraed only o he level requred for undersandng how he mehod arses. Lnear elascy and small dsplacemens are assumed for smplcy.. Modfed Euler mehod for explc me negraon The explc modfed Euler me negraor s chosen for solvng he equaons of moon. The response of he sysem usng hs mehod s compued by [4]: u u u M u u f ex u u Cu where M s he lumped mass marx, C s he dampng marx (se zero here), f,f n ex are he nernal and exernal force vecors, respecvely, and u s he dsplacemen vecor whle a do above denoes me dervave.. Forward ncremen Lagrange mulpler and penaly mehod f n () The classcal Lagrange mulpler mehod s ncompable wh explc me negraors. For hs reason, Carpener e al. [] nroduced a modfcaon, called here forward ncremen
3 Tmo J. Saksala, Jar M. Mäknen Lagrange mulpler mehod, whch s compable wh explc mehods. The dea of he mehod s o refer he knemac conac consrans one me sep ahead of Lagrange mulplers as: T Mu Cu fn fex G λ () Gu b where b s he vecor conanng he nal dsances beween he conac node pars (whch are known n advance), G s he knemac conac consran marx conssng, usually, of he normal vecors of he conac surfaces, and s he Lagrange mulpler vecor havng he physcal nerpreaon of conac forces. On subsung () no () gves, afer some algebra: ~ T u u M G λ where ~ u u~ u u u u u u M f Cu ex fn ~ u u u T GM G λ Gu~ b λ Ths mehod belongs o he class of predcor-correcor mehods n ha, frs, he acceleraon and dsplacemen of he sysem are predced as f here were no conacs. Then, he conac forces are solved based on he vrual peneraon. Fnally, he acceleraon s correced by subracng he conrbuon of he conac forces and he response of he sysem s updaed. I should be noed ha hs mehod s fully explc only when he node-o-node conac nerface s used. In hs case, wh he lumped mass marx, he equaons for solvng he Lagrange mulplers n (4) are uncoupled,.e. marx GM G s dagonal. Wh more T general conac nerfaces a coupled sysem of equaons mus be solved. Thus, compuaonal effcency of hs mehod consderably depends on he ype of conac nerface. The effcency can be, however, grealy ncreased, a he expense of accuracy and sably however, f he Penaly mehod s employed n he conac force calculaon. ccordngly, he hrd equaon n (4) and Lagrange mulpler n (3) s replaced by f p Gu~ b (3) (4) con (5) where p s he problem dependen penaly coeffcen. Oher equaons go unalered..3 Drec elmnaon mehod based on heory of manfolds Dfferen knemac relaons of consran equaons are shown n Fgure, where geomerc consrans nclude all holonomc and he unlaeral consrans, whch are gven by nequaly equaons wh he funcon of me and a generalzed place vecor only. Unlaeral consrans arse when modelng a knemac relaon beween bodes n conac. Conac consrans,.e. he dsplacemen nequales, generae a conac manfold wh a boundary. When a conac consran s acve he soluon les on he boundary of he conac manfold. Nex, he formal defnon of he conac manfold s gven. 3
4 Tmo J. Saksala, Jar M. Mäknen angen space T x M conac manfold M x geomerc consran manfold (wh boundary) boundary of consran vrual dsplacemen u whou nonholonomc consran Fgure : Geomerc nerpreaon of consrans. Defnon for conac manfold: The geomerc consran equaons nduce a d-manfold ha s defned by: M : n n u R E h(, u) E d (6) The conac manfold s a d-dmensonal smooh manfold wh me as -parameer famly. The conac manfold a fxed me = s denoed by M. In our case, he unlaeral consran equaons are smplyh(, u) Gu b. The Lagrange mulpler mehod and he penaly mehod, descrbed n he prevous secon, are convenonal mehods o mpose he conac consrans. However, he conac problem can also be solved wh he elmnaon of addonal degrees of freedom. Ths elmnaon echnque can be vewed as a parameerzaon of he conac manfold. In he presen paper, we have only node-o-node conacs wh sragh nerfaces (lnes) beween bodes and and boh bodes can be deformable or one of hem can be rgd dependng on he applcaon. In boh cases, he soluon procedure begn wh he deecon of acve conacs by checkng he volaon of he equaon Gu~ b (7) where he predced dsplacemen s as n Equaon (4). Nex, wo dfferen schemes o compue he nodal dsplacemens, veloces and acceleraons are presened. The frs one s for he case n whch he oher body s rgd, hus represenng usually a ool used for ndenaon, and he second s for he mpac of deformable bodes. Case ( s a rgd body, say a punch): If any conac consran s acve, say, hen hs nodal dsplacemenu of he body s elmnaed by solvng he acve consran equaon (7) wh respec ou as: 4
5 Tmo J. Saksala, Jar M. Mäknen u u u u b u u (8) f where f o, and M =m are he oal force and mass relaed o he acve conac consrans,.e. he summaon s over he degrees of freedom of he acve consrans. o, / M dof dof cve conac par Fgure : Illusraon of node-o-node conac nerface. Case ( and are deformable bodes): When an acve conac par, say, s deeced accordng o Equaon (7), he acceleraon and dsplacemen n he vercal degrees of freedom (dof and dof n Fgure ) of he nodes n conac are calculaed as: uˆ u ˆ uˆ u ˆ f u o, where f o, f o ( dof ) f o ( dof ) and m m M( dof ) M( dof ) are he oal force and mass relaed o he acve conac par wh m and m beng he nodal pon masses of he acve consran for he body and, respecvely. s o he veloces, hey can be solved from he equaons provded by elemenary physcs of colldng rgd bodes: m u e( u m u u ) u ˆ u /( m m u ˆ u ˆ m ) m u ˆ where e s he coeffcen of resuon wh e = for elasc collson and e = for perfecly nelasc collson. y he elmnaon echnque presened, he degrees of freedom of he problem reduce by one for each acve consran. Fnally, he deecon of separaon of he acve conac consran can be examned va he nodal nernal forces. The separaon occurs when he nodal nernal force s a racve force. The racve force convers he acve consran nacve. (9) () 5
6 Tmo J. Saksala, Jar M. Mäknen 3 NUMERICL EXMPLES In hs secon he performance of he dfferen mehods o mpose conac consrans are compared n numercal smulaons nvolvng low-velocy mpac. Frs, he performance of he manfold mehod s demonsraed n he rgd punch ndenaon problem wh varyng number of conac consrans. Then, he problem of longudnal mpac of hck cylndrcal bars s smulaed and he accuracy of he mehods s compared wh each oher and o he analycal soluon as well. The maeral s assumed rgd and/or lnear elasc. ll he smulaons are performed wh self-wren Malab (64-b 9a verson) codes usng a Wndows Vsa pc equpped wh.6 GHz MD Phenom II X3 7 processor and 8. G of RM. 3. Rgd punch ndenaon problem The ndenaon problem wh a rgd punch descrbed n Fgure 3 s solved wh he FILM, DME and Penaly mehods. xsymmery of he problem s exploed and CST elemens are used n he mesh. The maeral of he ndened doman s lnear elasc. The punch s assumed rgd whle s modeled as a sngle node. F ex = punch () Punch node u p,z u p,x R x rse F punch u c,y b xs of roaon Fgure 3: Indenaon wh a rgd punch. The exernal sress pulse, (), s used o smulae he mpac of he rgd punch o he deformable doman. s mulpled by he cross seconal area of he ndener punch, an exernal force, F ex, o be appled o he punch node s obaned. Moreover, he force ha resss he punch peneraon no doman, he conac force F punch, needs o be solved durng he soluon process. Thus, he equaon of moon for he punch node, wh s moonal degrees of freedom u p,x, u p,z, o be added o he FE dscrezed equaon of moon, can be wren as: m u z F F () p p, where m p s a compuaonal mass aached o he punch node. The value of hs mass mus be small enough so ha doesn affec he soluon and bg enough o manan he mass marx well-condoned. ex punch 6
7 Tmo J. Saksala, Jar M. Mäknen The geomery of he punch (ndener) s defned as b,.e. he dsances beween he punch node and he conac nodes on he ndened doman boundary. Thus, usng he noaon n Fgure 3, he knemac conac consrans can be wren n form: u c, z u p, z b () Equaons of hs form are wren for all conac nodes and, consequenly, he consran equaon of form Gu = b s obaned. s here s only one DOF (frcon s no aken no accoun) assocaed o he punch node, he sysem of consran equaons s coupled. Ths sysem s solved (when usng he FILM mehod) usng he Malab backslash operaon. The conac compuaons are performed as explaned n Secon. Nex, he problem descrbed n Fgure 3 s smulaed wh varyng number of conac consrans (acheved easly by dfferen values of radus R z ) usng he mesh conssng of 6 CST elemens shown n Fgure Fgure 4: CST mesh and a deal The maeral parameers are: E = GPa, =.3 and = 785 kg/m 3. compuaonal mass of. kg s used for he punch node mass m p. me sep = s s chosen o keep he compuaons sable. Three dfferen smulaons are carred ou n wha follows, correspondng o hree dfferen number of conac consrans: Sm wh 7 (R z = m), Sm wh 38 (R z = 3 m) and Sm3 wh 6 (R z = 6 m) conac consrans. The analyss me s 4 = s. The sress pulse amplude s MPa whle s duraon, rse and descen mes are -4 s, -5 s, respecvely. The resuls of he smulaons for Sm are presened n Fgure 5. 7
8 Tmo J. Saksala, Jar M. Mäknen u p,z /m 5 x -3 FILM 4 DME Penaly, p = 6e Tme /s x -4 F punch /N 7 x FILM DME p = 6e9.5.5 Tme /s x p = 6e9 FILMLag FILMToal DMEToal CPU Tme /s (c) Tme sep Fgure 5: Punch peneraon, conac force and CPU mes for conac soluon (c) n Sm. ccordng o Fgure 5a he FILM and DME (Case ) mehods produce equal punch dsplacemen durng loadng phase bu slgh, barely noceable dfference occurs durng unloadng. In conras, he vercal dsplacemen by Penaly mehod devaes consderably from he oher mehods. The value p = 6 9, found by ral and error, gave he bes resuls n hs problem. The force ressng peneraon, F punch, s also que smlar o all mehods besdes he oscllaons seen n he DME curve n Fgure 5b. s for he CPU mes (measured by Malab c funcon), s seen ha he me spend for conac compuaons by he DME and Penaly mehods (DMEToal and p = 6e9) s abou half of he lowes mes by he FILM mehod. Moreover, mos of he oal me used by he FILM mehod s consumed n solvng for he Lagrange mulplers from Equaon (4), (compare he FILMLag and FILMToal curves n Fgure 5c). Fnally, he FILM mehod dsplays heavy varaons n CPU mes whch are aesed by he hgh peaks n Fgure 5c. Nex, he resuls for Sm and Sm3 are shown n Fgure 6. 8
9 Tmo J. Saksala, Jar M. Mäknen u p,z /m p = e9 FILM DME CPU me /s DME FILM p = e Tme /s x Tme sep.. FILM DME CPU me /s (c) 3 4 Tme sep Fgure 6: Punch peneraon and CPU mes n Sm, and CPU mes for conac soluon (c) n Sm3 s he number of conac consrans ncrease, he Penaly mehod becomes more llbehavng as seen n Fgure 6a. In fac, no value of penaly coeffcen gvng reasonable resuls for punch dsplacemen, u p,z, was found n Sm3,.e. when he number of conac consrans s 6. Ths defcency of he penaly mehod s relaed o he relavely long conac nerface n hs problem: a value of he penaly coeffcen gvng good resuls close o he axs of symmery s far oo small, by many orders of magnude, furher away from. s o he CPU mes spen n he conac compuaons, he DME mehod s clearly he mos effcen one. Indeed, n Sm3, see Fgure 6c, s a leas mes faser han he FILM mehod. I s also wce as fas as he Penaly mehod, as seen n Fgure 6b. In hs specfc problem, havng 336 DOFs, he second mos me consumng operaon durng a me sep s he compuaon of he nernal force vecor by f n = Ku where K s he global lnear elasc sffness (sparse) marx. In he presen smulaons hs me vared beween o ms whch s approxmaely of he same magnude as he me needed o perform he conac compuaons wh he DME mehod. Therefore, he effcency of conac compuaons s crucal n hs knd of explc ransen elaso-dynamcs nvolvng conac-mpac. 3. Longudnal mpac of cylndrcal bars The problem of longudnal mpac of hck cylndrcal bars descrbed n Fgure 7a s solved wh he FILM, DME and Penaly mehods n order o compare her performance. xsymmery of he problem s exploed and CST mesh shown for he lef bar n Fgure 7b s used. Relavely coarse mesh, wh 46 for he lef and 46 elemens for he rgh bar s used. 9
10 Tmo J. Saksala, Jar M. Mäknen r v v z a =.m (radus of he bar) = 78 kg/m 3 =.3 E = GPa v = m/s (nal velocy) z... r (c) xs of roaonal symmery Fgure 7: Longudnal mpac of hck bars, he CST mesh and a deal (c). The node-o-node conac nerface s employed here and he conac compuaons are performed as explaned n Secon. The number of conac pars s very small, 6 pars, whch s nsgnfcan from he compuaonal pon of vew. me sep = -6 s s chosen o T keep he compuaons sable. s he marx GM G s dagonal for he node-o-node conac nerface, he average of s enres,.9, s aken for he penaly parameer. In he resuls n Fgures 8-, he gap compued as Gu b and conac forces are ploed a he conac nodes as a funcon of me for dfferen mehods. Gap /m x -5 r = r =. r =. r =.4 r =.6 r =.8 Conacs open 5 x 6 - Tme /s x -4 Tme /s Fgure 8: Smulaon resuls wh FILM mehod: gap, and conac forces. F con /N 4 3 r = r =. r =. r =.4 r =.6 r =.8 x -4 ccordng o he resuls n Fgure 8, he mpenerably condon s accuraely sasfed,.e. he gap s zero all he me bars are n conac, wh he FILM mehod. s he sress waves refleced a he free ends of he bars reach he conac surfaces, he conacs open and bars sar o rerea. Ths even s ndcaed n Fgure 8a. Nex, he same resuls are presened for he Penaly mehod n Fgure 9.
11 Tmo J. Saksala, Jar M. Mäknen Gap /m x -4 r = r =. r =. r =.4 r =.6 r =.8 F con /N 3.5 x r = r =. r =. r =.4 r =.6 r = Tme /s x -4 Tme /s x -4 Fgure 9: Smulaon resuls wh Penaly mehod (p =.9 ): gap, and conac forces. s expeced, he Penaly mehod does no sasfy he mpenerably condon. Indeed, peneraon occurs and he conac force s based on hs peneraon. Fnally, he same resuls are presened for he DME mehod wh he perfecly nelasc collson scheme (e = ) n Fgure. Gap /m x -6 r = r =. r =. r =.4 r =.6 r = Tme /s x -4 Tme /s x -4 Fgure : Smulaon resuls wh DME mehod: gap, and conac forces. F con /N 6 x r = r =. r =. r =.4 r =.6 r =.8 The resuls for he DME mehod wh he perfecly nelasc collson assumpon sasfy he mpenerably condon accuraely, as aesed by he zero gap values (see Fgure a) unl he arrval of he sress wave refleced from he free end of he bar. The conac forces n Fgure b are somewha smlar o hose produced wh he FILM mehod. Nex, he mehods are compared o he analycal soluon of he problem by Valeš e al. [5]. The dmensonless axal sress a he locaon r =. m and z =. m, a locaon close enough o he conac surfaces so ha he dfferences n he resuls beween he mehods are sll vsble (and no smoohed oo much by he San-Venan prncple). In addon, he dfferen schemes for calculang he velocy of conac nodes wh he DME mehod, Equaon (), are compared. The resuls are shown n Fgure.
12 Tmo J. Saksala, Jar M. Mäknen FILM p =.9e p = 5e DME, e = DME, e = Fgure : nalycal soluon for dmensonless axal sress [5], smulaon resuls wh dfferen mehods and resuls wh dfferen velocy schemes of DME mehod (c). s seen n Fgure b, he axal sress predced wh he FILM and DME (e = ) mehods are dencal. The resul wh he elasc collson scheme for velocy (DME, e = ) devaes slghly from hese. These mehods predc he analycal soluon wh a good accuracy. For example, he arrvals of he dfferen wave ypes are clearly denfable n he numercal resuls as well. In conras, he Penaly mehod wh he value p =.9 s que poor when compared o he analycal soluon. Wh he hgher value, p = 5, he Penaly mehod seems o perform slghly beer frs bu hen, afer me saon c /a = 5, overshoong oscllaons develop n he response. Moreover, hs value provded poor resuls a he conac nodes. 4 CONCLUSIONS Dfferen mehods, ncludng he forward ncremen Lagrange mulpler mehod (FILM), he Penaly mehod and he drec manfold elmnaon mehod (DME), o mpose conac consrans n ransen explc dynamcs were numercally compared n hs paper. mehod based on drec elmnaon of he conac consrans was developed and esed for he node-o-node conac nerface. The heorecal background of he mehod based on he heory of manfolds was elaboraed wh some deal. In he numercal smulaon of he ndenaon problem wh a rgd punch, he DME mehod was found o be overwhelmngly more effcen han he FILM mehod whle boh mehods provded smlar resuls. s o he Penaly mehod, whle effcen, faled o produce reasonable resuls when he conac nerface was relavely wde. I s more suable for pon-lke conac problems. Moreover, he Penaly mehod has an adverse effec on he numercal sably of he explc negraon and he problem specfc pan o fnd he correc value of he parameer
13 Tmo J. Saksala, Jar M. Mäknen In he mpac problem of longudnal bars, he FILM and DME mehods predced he analycal soluon for axal sress wh a good accuracy. These mehods, he DME wh he perfecly nelasc collson assumpon, sasfed he mpenerably condon accuraely and predced dencal resuls for axal sress. In conras, he resuls wh he Penaly mehod devaed from he analycal soluon and from he oher mehods as well. Due o s effcency and accuracy, he DME mehod can be regarded as superor o he FILM mehod n problems where he FILM mehod requres a soluon of coupled sysem of equaons for he Lagrange mulpler. These problems nclude he rgd punch ndenaon smulaed n hs paper and problems wh a more general conac nerface. In he fuure developmens of he DME mehod, wll be formulaed for more general node-o-segmen conac nerfaces. REFERENCES [] N.J. Carpener, R.L. Taylor M.G. Kaona, Lagrange Consrans for Transen Fne Elemen Surface Conac. Inernaonal Journal for Numercal Mehods n Engneerng, 3, 3-8, 99. [] J.M. Mäknen, Manfolds on Connuum Mechancs. In:. Koppel & J. Oja Eds. Connuum Mechancs, Nova Scence Publshers. pp. -5,. [3] T.J. Saksala, J.M. Mäknen, Numercal Modellng of -Rock Ineracon n Percussve Drllng by Manfold pproach, In:. Erksson and G. Tber Eds. Proceedngs of he 3rd Nordc Semnar on Compuaonal Mechancs, KTH Sockholm, Sweden, Ocober -,. [4] G. D. Hahn, Modfed Euler Mehod for dynamcal analyses. Inernaonal Journal for Numercal Mehods n Engneerng, 3, , 99. [5] F, Valeš e al., Wave Propagaon n a Thck Cylndrcal ar Due o Longudnal Impac. JSME Inernaonal Journal, Seres : Mechancs and Maeral Eng, 39, 6 7,
HEAT 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 informationVEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION
21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:
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 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 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 informationHandout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.
Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,
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 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 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 informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
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 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 informationChapter 2 Linear dynamic analysis of a structural system
Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads
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 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 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 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 informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationP R = P 0. The system is shown on the next figure:
TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples
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 information3. OVERVIEW OF NUMERICAL METHODS
3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,
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 informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
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 informationMechanics Physics 151
Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ
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 informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
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 informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION
THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,
More informationImplementation of Quantized State Systems in MATLAB/Simulink
SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße
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 informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
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 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 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 informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationShear Stress-Slip Model for Steel-CFRP Single-Lap Joints under Thermal Loading
Shear Sress-Slp Model for Seel-CFRP Sngle-Lap Jons under Thermal Loadng *Ank Agarwal 1), Eha Hamed 2) and Sephen J Foser 3) 1), 2), 3) Cenre for Infrasrucure Engneerng and Safey, School of Cvl and Envronmenal
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 informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
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 informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationM. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria
IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund
More informationA NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION
S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy
More information. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.
Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons
More informationNATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours
NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all
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 informationPhysical Simulation Using FEM, Modal Analysis and the Dynamic Equilibrium Equation
Physcal Smulaon Usng FEM, Modal Analyss and he Dynamc Equlbrum Equaon Paríca C. T. Gonçalves, Raquel R. Pnho, João Manuel R. S. Tavares Opcs and Expermenal Mechancs Laboraory - LOME, Mechancal Engneerng
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 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 informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
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 informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationA new concept for the contact at the interface of steel-concrete composite beams
A new concep for he conac a he nerface of seel-concree compose beams Samy Guezoul, Anas Alhasaw To ce hs verson: Samy Guezoul, Anas Alhasaw. A new concep for he conac a he nerface of seelconcree compose
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More information. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.
Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are
More informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More informationHandout # 13 (MEEN 617) Numerical Integration to Find Time Response of MDOF mechanical system. The EOMS for a linear mechanical system are
Handou # 3 (MEEN 67) Numercal Inegraon o Fnd Tme Response of MDOF mechancal sysem The EOMS for a lnear mechancal sysem are MU+DU+KU =F () () () where U,U, and U are he vecors of generalzed dsplacemen,
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 informatione-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov
June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School
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 informationEXPERIMENTAL VALIDATION OF A MULTIBODY DYNAMICS MODEL OF THE SUSPENSION SYSTEM OF A TRACKED VEHICLE
NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 9- DEARBORN, MICHIGAN EXPERIMENTAL VALIDATION OF A MULTIBODY
More informationComputing Relevance, Similarity: The Vector Space Model
Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are
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 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 informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
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 informationPHYS 1443 Section 001 Lecture #4
PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law
More informationStructural Damage Detection Using Optimal Sensor Placement Technique from Measured Acceleration during Earthquake
Cover page Tle: Auhors: Srucural Damage Deecon Usng Opmal Sensor Placemen Technque from Measured Acceleraon durng Earhquake Graduae Suden Seung-Keun Park (Presener) School of Cvl, Urban & Geosysem Engneerng
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationA Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee
A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes
More informationMEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS
MEEN 67 - Handou 4a ELEMENTS OF ANALYTICAL MECHANICS Newon's laws (Euler's fundamenal prncples of moon) are formulaed for a sngle parcle and easly exended o sysems of parcles and rgd bodes. In descrbng
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationSolving Equation [5.61], the helical fiber thickness required to contain the internal pressure is:
5.4.3 eng Analyss of Cylndrcal Pressure Vessels S. T. Peers 001 Ths sofware s provded free for your use wh no guaranee as o s effecveness. I s copyrghed by Process-Research and may no be duplcaed, gven
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationDiffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation
IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed
More informationIntroduction to. Computer Animation
Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon
More information( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
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 informationSingle-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method
10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho
More informationSupplementary Material to: IMU Preintegration on Manifold for E cient Visual-Inertial Maximum-a-Posteriori Estimation
Supplemenary Maeral o: IMU Prenegraon on Manfold for E cen Vsual-Ineral Maxmum-a-Poseror Esmaon echncal Repor G-IRIM-CP&R-05-00 Chrsan Forser, Luca Carlone, Fran Dellaer, and Davde Scaramuzza May 0, 05
More informationGear System Time-varying Reliability Analysis Based on Elastomer Dynamics
A publcaon of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 013 Gues Edors: Enrco Zo, Pero Barald Copyrgh 013, AIDIC Servz S.r.l., ISBN 978-88-95608-4-; ISSN 1974-9791 The Ialan Assocaon of Chemcal Engneerng
More informationLecture 11 SVM cont
Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc
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 informationFirst-order piecewise-linear dynamic circuits
Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por
More informationLecture 6: Learning for Control (Generalised Linear Regression)
Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson
More informationBernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field
Submed o: Suden Essay Awards n Magnecs Bernoull process wh 8 ky perodcy s deeced n he R-N reversals of he earh s magnec feld Jozsef Gara Deparmen of Earh Scences Florda Inernaonal Unversy Unversy Park,
More informationEcon107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)
Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen
More informationAn introduction to Support Vector Machine
An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,
More informationEP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES
EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and
More informationMohammad H. Al-Towaiq a & Hasan K. Al-Bzoor a a Department of Mathematics and Statistics, Jordan University of
Ths arcle was downloaded by: [Jordan Unv. of Scence & Tech] On: 05 Aprl 05, A: 0:4 Publsher: Taylor & Francs Informa Ld Regsered n England and ales Regsered umber: 07954 Regsered offce: Mormer House, 37-4
More informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More informationReactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times
Reacve Mehods o Solve he Berh AllocaonProblem wh Sochasc Arrval and Handlng Tmes Nsh Umang* Mchel Berlare* * TRANSP-OR, Ecole Polyechnque Fédérale de Lausanne Frs Workshop on Large Scale Opmzaon November
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 informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More informationKelvin Viscoelasticity and Lagrange Multipliers Applied to the Simulation of Nonlinear Structural Vibration Control
964 Kelvn Vscoelascy and Lagrange Mulplers Appled o he Smulaon of Nonlnear Srucural Vbraon Conrol Absrac Ths sudy proposes a new pure numercal way o model mass / sprng / damper devces o conrol he vbraon
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 informationMotion of Wavepackets in Non-Hermitian. Quantum Mechanics
Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod
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 information