Evolutionary, Iterative Optimum-Optimorum Theory

Size: px
Start display at page:

Download "Evolutionary, Iterative Optimum-Optimorum Theory"

Transcription

1 Evoltoar, Iteratve Opt-Optor Theor Adraa ĂSTASE* *Correspodg athor RWTH-AACHE, Aeroda des Flges Teplergrabe 55, 56 Aache, Gera, DOI:.3/ Abstract: The perforg of the aerodacal, global optzed (GO) shape of flg cofgratos (FCs) leads to a elarged varatoal proble th free bodares. The opt-optor theor as developed b the athor order to solve ths elarged varatoal proble, sde of a class of FCs, th soe chose coo propertes. Ths theor as sed for the vscd GO shape of three odels th hgh aerodacal perforaces, ael: ADELA (a delta g aloe) ad of to tegrated g-fselage FCs FADET I ad FADET II, flg spersoc flo. The refeet of the optzato strateg, for of a evoltve, teratve opt-optor theor, s here preseted. The vscd GO shape of FC, represets o ol the frst step of ths teratve ethod. A coptatoal checg of ths shape s ade b sg e hbrd aaltcal-ercal soltos for the aver-stoes laer. The total drag coeffcet (cldg frcto) s copted ad a ea teracto aerodacs/ strctre, va e ad/or odfed costrats s proposed. Up the secod step of terato process, a grato the drag fctoal ad the costrats s perfored. Ke Words: elarged varatoal ethod, aver-stoes laer, spersoc flo, ea teracto aerodacs/strctre, deterstc optzato, geetc algorths propertes.. ITRODUCTIO The classcal varatoal proble, cocerg the aerodacal optzato of the shape of a FC th a gve plafor, leads to a classcal varatoal proble th fed bodares. The athor has to tes elarged ths varatoal proble, order to be able: to detere the GO shape of the FC ad to clde the frcto effect the coptato of the total drag fctoal ad the optal desg. The frst elargeet cossts the deterato of the vscd GO shape of the FC (ael, the sltaeos optzato of ts caber, tst, thcess ad also of ts slart paraeters of the plafor), hch leads to a elarged varatoal proble th free bodares. A o opt-optor (OO) theor as developed order to solve ths elarged varatoal proble. The vscd GO shape of FC s chose the frae of a class of adssble FCs th good sted coo propertes. The OO-theor as sed b the athor for the aerodacal GO of the shapes of three aerospace odels, ael: of ADELA (a delta g aloe) ad of to tegrated g-fselage FCs FADET I ad FADET II, optzed, respectvel, for the crsg Mach bers.,. ad 3.. The secod elargeet of the varatoal ethod, sed here, cossts the developet of a teratve OO-theor, hch taes the vscd GO of the FC's shape, prevosl deter-ed, as frst step of terato. Ths shape s checed b sg the e developed hbrd aaltcal-ercal soltos for the aver-stoes laer (SL), hch se the aaltcal hperbolcal potetal soltos of the flo over the sae FC tce, ael frstl as oter flo ad secodl the veloct s copoets are cosdered betee the correspodg copoets of the potetal veloct ad poloal epasos th ICAS BULLETI, Vole, ber 4/, pp. 53-6

2 Adraa ĂSTASE 54 arbtrar coeffcets, as []. The frcto drag coeffcet s copted ad ths FC's shape s also cotrolled for the strctre pot of ve. Up the secod step of terato, the total drag coeffcet s the e fctoal ad the e ad/or odfed set of costrats, resltg after a ea teracto aerodacs/strctre, are cosdered. The evoltve, teratve opt-optor theor ca be sed for the refeet of GO shape of FC.. THE OPTIMUM-OPTIMORUM THEORY The frst elargeet cossts the vscd GO shape of the FC (ael, the optzato of ts caber, tst ad thcess dstrbtos ad also of ts slart paraeters of the plafor), hch leads to a elarged varatoal proble th free bodares. A o OO-theor as developed order to solve ths elarged varatoal proble. The global optzed FC's shape s chose sde of a class of adssble FCs, hch s defed b soe coo propertes. To FCs belog to the sae class, f: ther srfaces-epasos are pecese epressed for of sperpostos of poloes th the sae aal degree (th o coeffcets), ther plafors are polgoes (th o slart paraeters of plafor), hch ca be related throgh affe trasforatos ad the flfll () the sae costrats. A loer-lt hpersrface of the drag fctoal C d as fcto of the slart paraeters s defed, ael, (C ) ( ) d opt f,,..., ) () ( Each pot of ths hpersrface s obtaed b solvg a classcal varatoal proble th gve bodares (.e. a gve set of slart paraeters). The posto of the of ths hpersrface, hch s ercall detered, gves s the best set of the slart paraeters ad the FC's optal shape, hch correspods to ths set, s the sae te the global optzed FC's shape of the class. The deterato of the GO shape of the odel FADET I, va OO-theor, s preseted here, as eeplfcato. 3. THE GLOBAL OPTIMAL DESIG OF THE MODEL FADET I A g-fselage FC s here cosdered as a dscotos g alog the jcto les g/fselage. If, addtoall, the g ad the fselage have the sae ea srface ad the sae taget plae, each pot of ther jcto les, the evalet g of the gfselage cofgrato s here called tegrated g-fselage. Its ea srface Z (, ) s spposed to be cotos, bt, for the sae of geeralt, the thcess dstrbtos Z (, ) o the lateral sdes, correspodg to the g ad Z '(, ) o the cetral part, correspodg to the fselage zoe, are dfferet. The coptato s ade a desoless sste of coordates O 3, as [], [ ], t s: h h (,,,, 3 3 h ) (a-c) ICAS BULLETI, Vole, ber 4/

3 55 Evoltoar, Iteratve Opt-Optor Theor The doashes o the th copoet ad ad o the g ad o the fselage of the thc-setrcal copoet of the tegrated FC are epressed for of sperposto of hoogeeos poloes (th o coeffcets), ael:,,, (3a-c) The jcto les g/fselage are cosdered as to artfcal rdges of the tegrated g. The correspodg aal dstrbace veloctes ad o the th ad thcsetrcal copoets of the FC, obtaed b the athor, b sg the hdrodac aalog of Carafol, are:, cosh C E, A E (4), cosh C E, D E cosh ) ( cosh G. (5) ( ) ( ) )( (, M, ) ( ) )( (, ) The paraeters of optzato are the coeffcets of the doashes, j j ad j ad the slart paraeters of the plafor of the etre FC ad of the plafor of the f-selage ad, respectvel,. The otet /, hch depeds o the prpose of the FC, s tae costat, drg the optzato process. For a gve vale of the slart paraeter of the FC s plafor, the optzato of the shapes of ts th ad thc-setrcal copoets ca be separatel treated. The tal costrats for the th FC copoet are: gve lft ad ptchg oet coeffcets ad also the o trodced Ktta codto o leadg edge order to cacel the dced drag ad to avod the cotreet of flo o leadg edge, at crse. ICAS BULLETI, Vole, ber 4/

4 Adraa ĂSTASE 56 The tal costrats for the thc-setrcal copoets are: the gve relatve voles of the fselage ad of etre FC, the closg codto o leadg edges ad also the o -trodced tegrato codtos alog the jcto les g/fselage. For a gve vale of the slart paraeter of the plafor of the FC the correspodg optal vales of the coeffcets of doashes are aaltcal, el detered b solvg of to lear algebrac sstes, as [], []. If the slart paraeter of the plafor of FC s seetall vared a loer lt-le of the vscd drag fctoal of optal FCs, as fcto of ths slart paraeter s obtaed b solvg the varatoal probles for the correspodg vales of the slart paraeter (for FCs th sbsoc leadg edges s ). The posto of the of ths les-le gves the optal vale of the slart paraeter opt ad the correspodg optal FC s, the sae te, the global optzed FC of the class. The GO shape of the fll-tegrated g-fselage odel FADET I, desged b the athor, for the crsg Mach ber M., obtaed b sg the OO-theor, s preseted the Fg. ad loos, trasversal sectos, le a flg brd! Fg. The global optzed shape of the fll-tegrated g fselage odel FADET I The aerodacal characterstcs of the tegrated, GO shape of the odel FADET I as checed the trsoc d tel of the DLR-Cologe, the frae of the athor s research project, sposored b the DFG. A ver good agreeet betee the theoretcal ad eperetal reslts, obtaed b sg vscd aaltcal, hperbolcal soltos for ts lft ad ptchg oet coeffcets, s preseted the Fg. a,b. I the Fgs. 3a-c s copared the theoretcal predcted dstrbto of pressre coeffcet th eperetal reslts, the logtdal cetral secto of the pper sde of odel FADET I, at the agles of attac 8,, 8 ad for the rage of Mach bers M (.5.4). For ths rage of Mach bers, the odel FADET I has sbsoc leadg edges. ICAS BULLETI, Vole, ber 4/

5 57 Evoltoar, Iteratve Opt-Optor Theor Fgs. a, b The lft ad the ptchg oet coeffcets of the global optzed odel FADET I ICAS BULLETI, Vole, ber 4/

6 Adraa ĂSTASE 58 Fg. 3a-c The dstrbto of pressre coeffcet o the cetral ct at the pper sde of the odel FADET I, for the agles of attac 8,, 8 A ver good agreeet betee eperetal ad theoretcal reslts s obtaed b sg of the o aaltcal hperbolcal potetal soltos for the lft, ptchg oet ad pressre coeffcets o FCs th sbsoc leadg edges, at oderate agles of attac, spersoc flo, as t ca be see the Fgs. a,b - Fgs. 3a-c. Ths agreeet leads to the rears: - The valdt of the three-desoal aaltcal hperbolcal potetal soltos for the aal dstrbace veloctes th the chose balaced sglartes ad the correspodg developed softare for the above aerodacal coeffcets are cofred; - The flece of frcto po these coeffcets s eglectable; - The flo s laar, as spposed here ad reas attached spersoc flo, for larger agles of attac tha b sbsoc flo; - Hbrd soltos for the aver-stoes laer (SL) th portat aaltcal propertes are proposed here, for the coptato of the total drag (cldg frcto) ad of all the aerodac characterstcs, at hgher agles of attac. 4. HYBRID SOLUTIOS, FOR AVIER-STOKES LAYER The aaltcal, hperbolcal, potetal soltos are sed the frst, vscd step of the evoltoar, teratve OO-theor. These soltos are replaced b o developed reforced hbrd soltos for the SL, obtaed b crossover of aaltcal th ercal soltos ICAS BULLETI, Vole, ber 4/

7 59 Evoltoar, Iteratve Opt-Optor Theor order to obta taleted hbrd SL s soltos, hch have the geeralt of the ercal soltos, flfll the o-slp codtos ad have also portat aaltcal propertes. Let s trodce a spectral varable, t s: 3 Z(, ). ( ) (, ) Hereb Z (, ) s the eato of the srface of the flatteed FC ad (, ) s the SL s thcess dstrbto. The spectral fors of the aal, lateral ad vertcal veloct s copoets, ad, the dest fcto R l ad the absolte v teperatre T are here proposed, as []-[3], ael: e, v v e v, e, R R ( Re R) r, (6a-e) T T ( T T ) e Here R ad are the gve vales of ad T at the all,,,, ad T R e ve e Re Te are the vales of, v,, R ad T at the SL s edge, obtaed fro the oter vscd hperbolcal potetal flo, ad, v,, r ad t are ther free spectral coeffcets, hch are obtaed b flfllg of the SL s partal dfferetal eatos (PDEs). The phscal eato of deal gas for the pressre p ad a epoetal la of the vscost verss T are sed: p R T R e g g R t T T. T (7a-b) Here are: R ad T the versal gas costat ad the absolte teperatre of the g dstrbed flo ad s the vscost epoet. The se of the dest fcto R l (stead of the dest ), proposed here, cobed th the forlas for R, T,, v,, p ad, ad th the collocato ethod allo the deterato of the spectral coeffcets of all the phscal ettes, ael: R, T, p ad ol as fctos of the spectral coeffcets of the veloct s copoets, as []-[3]. The spectral fors (6a-e) atoatcall satsf the bodar codtos at all ( ). The bodar codtos at the SL s edge are elated b fg seve spectral coeffcets of the veloct s copoets. If the spectral fors gve (6a-c) are trodced the SL s PDEs of plse ad the collocatos ethod s sed, the spectral coeffcets of the veloct s copoets, v ICAS BULLETI, Vole, ber 4/

8 Adraa ĂSTASE 6 ad are obtaed b the teratve solvg of a lear algebrac sste th slghtl varable coeffcets, hch vales are tae for the precedet terato. The aaltcal propertes of the hbrd ercal SL s soltos proposed here are the follog: the have correct last behavors, the have correct jps alog the sglar les (le sbsoc leadg edges, jcto les g/fselage) ad the sglartes are bala-ced), are accrate becase the are eshless ad the dervatves ca be eactll copted. Frther, b sg of a logarthc dest fcto R l, a splttg of the SL s PDEs s realzed, hch speeds p the coptato te. 5. EVOLUTIVE, ITERATIVE OPTIMUM-OPTIMORUM THEORY The secod elargeet of the varatoal ethod cossts the developet of a teratve OO-theor, order to trodce also the flece of frcto the drag fctoal ad the aerodacal GO shape of FC. A teredate coptatoal checg of the vscd GO shape of the FC s ade th o hbrd solvers, for the three-desoal aver- ( f ) Stoes laer (SL). The frcto drag coeffcet C d of the FC s detered. The teratve OO-theor ses the vscd hperbolcal potetal soltos as start soltos ad the vscd GO shape of the FC, ol ts frst step of terato. The vscd GO shape s checed also for the strctral pot of ve. Addtoal or odfed costrats, trodced order to cotrol the caber, tst ad thcess dstrbtos of the aerodacal, global optzed FC s shape, for strctral reasos, are here proposed. I the secod step of optzato, the predcted vscd optzed shape of the FC s corrected b cldg these sppleetar costrats the varatoal proble ad of the frcto drag coeffcet the drag fctoal. The teratve optzato process s repeated, tl the aal local odfcato of the shape to cosectve optzato steps presets o sgfcat chage. The chart flo of the evoltve, teratve OO-theor s gve the Fg. 4. A ea teracto aerodacs/ strctre, va e ad odfed costrats, trodced for the strctre reasos, the process of the deterato of aerodacal GO shape, s proposed. Fg. 4 The chart flo of the evoltve, teratve opt-optor theor ICAS BULLETI, Vole, ber 4/

9 6 Evoltoar, Iteratve Opt-Optor Theor 6. COCLUSIOS The evoltoar, teratve opt-optor theor s a deterstc theor, hch has alost all the attrbtes of the geetc algorths le gratos, tato, crossover, ltple selectos, allos the ltdscplar optal desg b sg addtoal ad/or odfed costrats, reest fro the strctre prposes, allos the ltpot desg b orphg, s fleble, accrate, ecooc ad copettve. REFERECES [] A. astase, Coptato of spersoc flo over flg cofgratos, Elsever, Oford, UK, 7. [] A. astase, The elarged varatoal ethod as strateg for the aerodacal optal shape s desg, MAO Coferece, Alba, USA, AIAA Techcal Paper (4). [3] A. astase, Aerodacal optal shape s desg, copled th strctre costrats, Copled Probles II ECCOMAS Coferece, CIME, Barceloa, Spa, pp (7) ICAS BULLETI, Vole, ber 4/

CS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x

CS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x CS 75 Mache Learg Lecture 7 Lear regresso Mlos Hauskrecht los@cs.ptt.edu 59 Seott Square CS 75 Mache Learg Lear regresso Fucto f : X Y s a lear cobato of put copoets f + + + K d d K k - paraeters eghts

More information

DISTURBANCE TERMS. is a scalar and x i

DISTURBANCE TERMS. is a scalar and x i DISTURBANCE TERMS I a feld of research desg, we ofte have the qesto abot whether there s a relatoshp betwee a observed varable (sa, ) ad the other observed varables (sa, x ). To aswer the qesto, we ma

More information

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix.

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix. Revew + v, + y = v, + v, + y, + y, Cato! v, + y, + v, + y geeral Let A be a atr Let f,g : Ω R ( ) ( ) R y R Ω R h( ) f ( ) g ( ) ( ) ( ) ( ( )) ( ) dh = f dg + g df A, y y A Ay = = r= c= =, : Ω R he Proof

More information

Algorithms behind the Correlation Setting Window

Algorithms behind the Correlation Setting Window Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree

More information

3D Reconstruction from Image Pairs. Reconstruction from Multiple Views. Computing Scene Point from Two Matching Image Points

3D Reconstruction from Image Pairs. Reconstruction from Multiple Views. Computing Scene Point from Two Matching Image Points D Recostructo fro Iage ars Recostructo fro ultple Ves Dael Deetho Fd terest pots atch terest pots Copute fudaetal atr F Copute caera atrces ad fro F For each atchg age pots ad copute pot scee Coputg Scee

More information

EXPECTATION IDENTITIES OF GENERALIZED RECORD VALUES FROM NEW WEIBULL-PARETO DISTRIBUTION AND ITS CHARACTERIZATION

EXPECTATION IDENTITIES OF GENERALIZED RECORD VALUES FROM NEW WEIBULL-PARETO DISTRIBUTION AND ITS CHARACTERIZATION Joral of Statstcs: Advaces Theor ad Applcatos Vole 8, Nber 2, 27, Pages 87-2 Avalable at http:scetfcadvacesco DOI: http:ddoorg8642sata_7288 EXPECTATION IDENTITIES O GENERALIZED RECORD VALUES ROM NEW WEIBULL-PARETO

More information

SOME ASPECTS ON SOLVING A LINEAR FRACTIONAL TRANSPORTATION PROBLEM

SOME ASPECTS ON SOLVING A LINEAR FRACTIONAL TRANSPORTATION PROBLEM Qattate Methods Iqres SOME ASPECTS ON SOLVING A LINEAR FRACTIONAL TRANSPORTATION PROBLEM Dora MOANTA PhD Deartet of Matheatcs Uersty of Ecoocs Bcharest Roaa Ma blshed boos: Three desoal trasort robles

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

Numerical Analysis Formulae Booklet

Numerical Analysis Formulae Booklet Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx

More information

Lecture 2: The Simple Regression Model

Lecture 2: The Simple Regression Model Lectre Notes o Advaced coometrcs Lectre : The Smple Regresso Model Takash Yamao Fall Semester 5 I ths lectre we revew the smple bvarate lear regresso model. We focs o statstcal assmptos to obta based estmators.

More information

Stationary states of atoms and molecules

Stationary states of atoms and molecules Statoary states of atos ad olecules I followg wees the geeral aspects of the eergy level structure of atos ad olecules that are essetal for the terpretato ad the aalyss of spectral postos the rotatoal

More information

CS5620 Intro to Computer Graphics

CS5620 Intro to Computer Graphics CS56 Itro to Computer Graphcs Geometrc Modelg art II Geometrc Modelg II hyscal Sples Curve desg pre-computers Cubc Sples Stadard sple put set of pots { } =, No dervatves specfed as put Iterpolate by cubc

More information

Discrete Adomian Decomposition Method for. Solving Burger s-huxley Equation

Discrete Adomian Decomposition Method for. Solving Burger s-huxley Equation It. J. Cotemp. Math. Sceces, Vol. 8, 03, o. 3, 63-63 HIKARI Ltd, www.m-har.com http://dx.do.org/0.988/jcms.03.3570 Dscrete Adoma Decomposto Method for Solvg Brger s-hxley Eqato Abdlghafor M. Al-Rozbaya

More information

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter

More information

Support vector machines II

Support vector machines II CS 75 Mache Learg Lecture Support vector maches II Mlos Hauskrecht mlos@cs.ptt.edu 539 Seott Square Learl separable classes Learl separable classes: here s a hperplae that separates trag staces th o error

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

Camera calibration & radiometry

Camera calibration & radiometry Caera calbrato & radoetr Readg: Chapter 2, ad secto 5.4, Forsth & oce Chapter, Hor Optoal readg: Chapter 4, Forsth & oce Sept. 2, 22 MI 6.8/6.866 rofs. Freea ad Darrell Req: F 2, 5.4, H Opt: F 4 Req: F

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

Construction of Composite Indices in Presence of Outliers

Construction of Composite Indices in Presence of Outliers Costructo of Coposte dces Presece of Outlers SK Mshra Dept. of Ecoocs North-Easter Hll Uversty Shllog (da). troducto: Oftetes we requre costructg coposte dces by a lear cobato of a uber of dcator varables.

More information

The theoretical background of

The theoretical background of he theoretcal backgroud of -echologes he theoretcal backgroud of FactSage he followg sldes gve a abrdged overvew of the ajor uderlyg prcples of the calculatoal odules of FactSage. -echologes he bbs Eergy

More information

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )):

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )): x, t, h x The Frst-Order Wave Eqato The frst-order wave advecto eqato s c > 0 t + c x = 0, x, t = 0 = 0x. The solto propagates the tal data 0 to the rght wth speed c: x, t = 0 x ct. Ths Rema varat s costat

More information

ON THE NUMERICAL SOLUTION OF FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS. Solat Karimi Vanani and Azim Aminataei

ON THE NUMERICAL SOLUTION OF FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS. Solat Karimi Vanani and Azim Aminataei Matheatcal ad Coptatoal Applcatos, Vol. 7, No., pp. 40-5, 0 ON THE NUMERICAL SOLUTION OF FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS Solat Kar Vaa ad Az Aatae Departet of Matheatcs, K. N. Toos Uversty of

More information

B-spline curves. 1. Properties of the B-spline curve. control of the curve shape as opposed to global control by using a special set of blending

B-spline curves. 1. Properties of the B-spline curve. control of the curve shape as opposed to global control by using a special set of blending B-sple crve Copyrght@, YZU Optmal Desg Laboratory. All rghts reserved. Last pdated: Yeh-Lag Hs (--9). ote: Ths s the corse materal for ME Geometrc modelg ad compter graphcs, Ya Ze Uversty. art of ths materal

More information

Parallelized methods for solving polynomial equations

Parallelized methods for solving polynomial equations IOSR Joural of Matheatcs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X. Volue 2, Issue 4 Ver. II (Jul. - Aug.206), PP 75-79 www.osrourals.org Paralleled ethods for solvg polyoal equatos Rela Kapçu, Fatr

More information

CS 1675 Introduction to Machine Learning Lecture 12 Support vector machines

CS 1675 Introduction to Machine Learning Lecture 12 Support vector machines CS 675 Itroducto to Mache Learg Lecture Support vector maches Mlos Hauskrecht mlos@cs.ptt.edu 539 Seott Square Mdterm eam October 9, 7 I-class eam Closed book Stud materal: Lecture otes Correspodg chapters

More information

COMPUTATION OF THE EIGENVALUES AND EIGENFUNCTION OF GENERALIZED STURM-LIOUVILLE PROBLEMS VIA THE DIFFERENTIAL TRANSFORMATION METHOD

COMPUTATION OF THE EIGENVALUES AND EIGENFUNCTION OF GENERALIZED STURM-LIOUVILLE PROBLEMS VIA THE DIFFERENTIAL TRANSFORMATION METHOD IJRRAS 5 3 Je 03 www.arpapress.co/voles/vol5isse3/ijrras_5_3_08.p COMPTATION O THE EIGENVAES AND EIGENNCTION O GENERAIZED STRM-IOVIE PROBEMS VIA THE DIERENTIA TRANSORMATION METHOD Mohae El-Gael & Maho

More information

Meromorphic Solutions of Nonlinear Difference Equations

Meromorphic Solutions of Nonlinear Difference Equations Mathematcal Comptato Je 014 Volme 3 Isse PP.49-54 Meromorphc Soltos of Nolear Dfferece Eatos Xogyg L # Bh Wag College of Ecoomcs Ja Uversty Gagzho Gagdog 51063 P.R.Cha #Emal: lxogyg818@163.com Abstract

More information

CS 2750 Machine Learning. Lecture 8. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x

CS 2750 Machine Learning. Lecture 8. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x CS 75 Mache Learg Lecture 8 Lear regresso Mlos Hauskrecht mlos@cs.ptt.edu 539 Seott Square CS 75 Mache Learg Lear regresso Fucto f : X Y s a lear combato of put compoets f + + + K d d K k - parameters

More information

A NEW FINITE ELEMENT CONSIDERING SHEAR LAG

A NEW FINITE ELEMENT CONSIDERING SHEAR LAG INERNAIONA SCIENIFIC CONFERENCE CIBV 204 7-8 November 204, Braşov A NEW FINIE EEMEN CONSIDERING SHEAR AG A. PROIC M. VOJNIC PURCAR D. UIC Abstract: A ew model of descrbg the shear lag pheomeo composte

More information

An Expansion of the Derivation of the Spline Smoothing Theory Alan Kaylor Cline

An Expansion of the Derivation of the Spline Smoothing Theory Alan Kaylor Cline A Epaso of the Derato of the Sple Smoothg heory Ala Kaylor Cle he classc paper "Smoothg by Sple Fctos", Nmersche Mathematk 0, 77-83 967) by Chrsta Resch showed that atral cbc sples were the soltos to a

More information

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

Some results and conjectures about recurrence relations for certain sequences of binomial sums. Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have

More information

Analytical calculation of trajectories using a power law for the drag coefficient variation with Mach number

Analytical calculation of trajectories using a power law for the drag coefficient variation with Mach number Coptatoal Ballstcs II Aalytcal calclato of trajectores sg a power law for the drag coeffcet arato wth Mach er W. Roetzel Isttte of Therodyacs, Helt Schdt Uersty, Uersty of the Federal Ared Forces, Harg,

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

DYNAMICS. Systems of Particles VECTOR MECHANICS FOR ENGINEERS: Seventh Edition CHAPTER. Ferdinand P. Beer E. Russell Johnston, Jr.

DYNAMICS. Systems of Particles VECTOR MECHANICS FOR ENGINEERS: Seventh Edition CHAPTER. Ferdinand P. Beer E. Russell Johnston, Jr. Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Ferdad P. eer E. Russell Johsto, Jr. Systes of Partcles Lecture Notes: J. Walt Oler Texas Tech Uersty 003 The Mcraw-Hll Copaes, Ic. ll rghts resered.

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

DATA DOMAIN DATA DOMAIN

DATA DOMAIN DATA DOMAIN 3//6 Coprght otce: Most ages these sldes are Gozalez ad oods Pretce-Hall Note: ages are [spatall] ostatoar sgals. e eed tools to aalze the locall at dfferet resolutos e ca do ths the data doa or sutable

More information

The Modified Bi-quintic B-spline Base Functions: An Application to Diffusion Equation

The Modified Bi-quintic B-spline Base Functions: An Application to Diffusion Equation Iteratoal Joural of Partal Dfferetal Equatos ad Applcatos 017 Vol. No. 1 6-3 Avalable ole at http://pubs.scepub.co/jpdea//1/4 Scece ad Educato Publshg DOI:10.1691/jpdea--1-4 The Modfed B-qutc B-sple Base

More information

Generalized Linear Models. Statistical Models. Classical Linear Regression Why easy formulation if complicated formulation exists?

Generalized Linear Models. Statistical Models. Classical Linear Regression Why easy formulation if complicated formulation exists? Statstcal Models Geeralzed Lear Models Classcal lear regresso complcated formlato of smple model, strctral ad radom compoet of the model Lectre 5 Geeralzed Lear Models Geeralzed lear models geeral descrpto

More information

AN ADAPTIVE MEAN SHIFT TRACKING METHOD USING MULTISCALE IMAGES

AN ADAPTIVE MEAN SHIFT TRACKING METHOD USING MULTISCALE IMAGES Proceedgs of te 7 Iteratoal oferece o Wavelet Aalss ad Patter Recogto, Bejg, a, -4 Nov. 7 AN ADAPTIVE MEAN SHIFT TRAKING METHOD USING MULTISALE IMAGES ZHUO-LIN JIANG, SHAO-FA LI, DONG-FA GAO Scool of opter

More information

The Finite Volume Method for Solving Systems. of Non-linear Initial-Boundary. Value Problems for PDE's

The Finite Volume Method for Solving Systems. of Non-linear Initial-Boundary. Value Problems for PDE's Appled Matematcal Sceces, Vol. 7, 13, o. 35, 1737-1755 HIKARI Ltd, www.m-ar.com Te Fte Volme Metod for Solvg Systems of No-lear Ital-Bodary Vale Problems for PDE's 1 Ema Al Hssa ad Zaab Moammed Alwa 1

More information

Chapter 16 Measurement Error Models

Chapter 16 Measurement Error Models Chapter 6 Measreet Error Models A fdaetal asspto all the statstcal aalyss s that all the obseratos are correctly easred I the cotet of ltple regresso odel, t s assed that the obseratos o stdy ad eplaatory

More information

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )):

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )): x, t ), h x The Frst-Order Wave Eqato The frst-order wave advecto) eqato s c > 0) t + c x = 0, x, t = 0) = 0x). The solto propagates the tal data 0 to the rght wth speed c: x, t) = 0 x ct). Ths Rema varat

More information

Plate Bending Analysis by Two-dimensional Non-linear Partial Differential Equations

Plate Bending Analysis by Two-dimensional Non-linear Partial Differential Equations Uversa Joura of Coputatoa Aass 1 013 1-8.papersceces.co Pate Bedg Aass b To-desoa No-ear Parta Dffereta Equatos E.G. Ladopouos Iterpaper Research Orgazato 8 Da Str. Athes GR - 106 7 Greece eadopouos@terpaper.org

More information

D. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1

D. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1 D. L. Brcker, 2002 Dept of Mechacal & Idustral Egeerg The Uversty of Iowa CPL/XD 2/0/2003 page Capactated Plat Locato Proble: Mze FY + C X subject to = = j= where Y = j= X D, j =, j X SY, =,... X 0, =,

More information

Estimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution

Estimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution World Acade of Scece, Egeerg ad Techolog Iteratoal Joural of Matheatcal ad Coputatoal Sceces Vol:4, No:, Estato of R P [Y < X] for Two-paraeter Burr Tpe XII Dstruto H.Paah, S.Asad Iteratoal Scece Ide,

More information

Lecture 8 IEEE DCF Performance

Lecture 8 IEEE DCF Performance Lecture 8 IEEE82. DCF Perforace IEEE82. DCF Basc Access Mechas A stato wth a ew packet to trast otors the chael actvty. If the chael s dle for a perod of te equal to a dstrbuted terfrae space (DIFS), the

More information

An Approach to Solve Linear Equations Using Time- Variant Adaptation Based Hybrid Evolutionary Algorithm

An Approach to Solve Linear Equations Using Time- Variant Adaptation Based Hybrid Evolutionary Algorithm A Approach to Solve Lear Equatos Usg Te- Varat Adaptato Based Hbrd Evolutoar Algorth 1 A. R. M. Jalal Udd Jaal, 2 M. M. A. Hashe, ad 1 Md. Bazlar Raha. 1 Departet of Matheatcs Khula Uverst of Egeerg ad

More information

DUALITY FOR MINIMUM MATRIX NORM PROBLEMS

DUALITY FOR MINIMUM MATRIX NORM PROBLEMS HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMNIN CDEMY, Seres, OF HE ROMNIN CDEMY Vole 6, Nber /2005,. 000-000 DULIY FOR MINIMUM MRI NORM PROBLEMS Vasle PRED, Crstca FULG Uverst of Bcharest, Faclt of Matheatcs

More information

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

1D Lagrangian Gas Dynamics. g t

1D Lagrangian Gas Dynamics. g t Te KT Dfferece Sceme for Te KT Dfferece Sceme for D Laraa Gas Damcs t 0 t 0 0 0 t 0 Dfferece Sceme for D Dfferece Sceme for D Laraa Gas Damcs 0 t m 0 / / F F t t 0 / / F F t 0 / F F t Dfferece Sceme for

More information

Finite difference methods An introduction. Jean Virieux Professeur UJF with the help of Virginie Durand

Finite difference methods An introduction. Jean Virieux Professeur UJF with the help of Virginie Durand Fte dfferece methods A trodcto Jea Vre Professer JF 01-013 wth the help of Vrge Drad A global vso Dfferetal Calcls (Newto, 1687 & Lebz 1684) Fd soltos of a dfferetal eqato (DE) of a dyamc system. Chaos

More information

State Feedback Control Block Diagram

State Feedback Control Block Diagram State Feedback Cotrol Block Dagra r B C -K lt-it I Ste t Cotrollablt:,B cotrollable ff rakp, P[B B - B]: Pck -learl deedet col of P gog fro left to rght ad rearrage a b b b b b : col of B Potve teger o

More information

Binary classification: Support Vector Machines

Binary classification: Support Vector Machines CS 57 Itroducto to AI Lecture 6 Bar classfcato: Support Vector Maches Mlos Hauskrecht mlos@cs.ptt.edu 539 Seott Square CS 57 Itro to AI Supervsed learg Data: D { D, D,.., D} a set of eamples D, (,,,,,

More information

Symmetry of the Solution of Semidefinite Program by Using Primal-Dual Interior-Point Method

Symmetry of the Solution of Semidefinite Program by Using Primal-Dual Interior-Point Method Syetry of the Soluto of Sedefte Progra by Usg Pral-Dual Iteror-Pot Method Yoshhro Kao Makoto Ohsak ad Naok Katoh Departet of Archtecture ad Archtectural Systes Kyoto Uversty Kyoto 66-85 Japa kao@s-jarchkyoto-uacjp

More information

The Modified Bi-quintic B-Splines for Solving the Two-Dimensional Unsteady Burgers' Equation

The Modified Bi-quintic B-Splines for Solving the Two-Dimensional Unsteady Burgers' Equation Europea Iteratoal Joural of Scece ad Tecolog Vol. No. Te Modfed -qutc -Sples for Solvg te Two-Desoal Ustead urgers' Equato S. KUTLUAY a ad N. M. YAGMURLU b a Departet of Mateatcs Đöü Uverst 448 Malata/TURKEY

More information

Global Optimization for Solving Linear Non-Quadratic Optimal Control Problems

Global Optimization for Solving Linear Non-Quadratic Optimal Control Problems Joural of Appled Matheatcs ad Physcs 06 4 859-869 http://wwwscrporg/joural/jap ISSN Ole: 37-4379 ISSN Prt: 37-435 Global Optzato for Solvg Lear No-Quadratc Optal Cotrol Probles Jghao Zhu Departet of Appled

More information

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I MMJ FINITE EEMENT METHOD Cotut requremets Assume that the fuctos appearg uder the tegral the elemet equatos cota up to (r) th order To esure covergece N must satsf Compatblt requremet the fuctos must have

More information

Numerical Experiments with the Lagrange Multiplier and Conjugate Gradient Methods (ILMCGM)

Numerical Experiments with the Lagrange Multiplier and Conjugate Gradient Methods (ILMCGM) Aerca Joural of Appled Matheatcs 4; (6: -6 Publshed ole Jauary 5, 5 (http://wwwscecepublshroupco//aa do: 648/aa465 ISSN: 33-43 (Prt; ISSN: 33-6X (Ole Nuercal Eperets wth the Larae Multpler ad Couate Gradet

More information

New Associative Memories to Recall Real-Valued Patterns

New Associative Memories to Recall Real-Valued Patterns Ne Assocatve Meores to Recall Real-Valued Patters Huberto Sossa Rcardo Barró ad Roberto A Vázquez Cetro de Ivestgacó e Coputacó-IPN Av Jua de Dos Bátz esqua co Mguel Othó de Medzábal Meco Ct 778 Meco hsossa@ccp

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245 Isttto Tecológco de Aeroátca FIITE ELEETS I Class otes AE-45 Isttto Tecológco de Aeroátca 8. Beams ad Plates AE-45 Isttto Tecológco de Aeroátca BEAS AD PLATES Itrodcto Eler-Beroll beam model ad Krcoff

More information

Physical Nonlinearity Under Cyclic Loading In Neutron Flow

Physical Nonlinearity Under Cyclic Loading In Neutron Flow Amerca Joral of Appled Sceces 4 (9): 653-657, 27 ISSN 546-9239 27 Scece Pblcatos Physcal Nolearty Uder Cyclc Loadg I Netro Flow Atwa. D. Zeyad ad 2 Starovotov. E. I Deparmet of physcs, Appled Scece Uversty

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

Remote sensing image segmentation based on ant colony optimized fuzzy C-means clustering

Remote sensing image segmentation based on ant colony optimized fuzzy C-means clustering Avalable ole www.jocpr.co Joural of Checal ad Pharaceutcal Research, 204, 6(6:2675-2679 Research Artcle ISSN : 0975-7384 CODEN(USA : JCPRC5 Reote sesg age segetato based o at coloy optzed fuzzy C-eas clusterg

More information

Approximation of Parametric Functions by Bicubic B-spline Functions. Majid Amirfakhrian a, Sahar Didab b.

Approximation of Parametric Functions by Bicubic B-spline Functions. Majid Amirfakhrian a, Sahar Didab b. Joral of Aerca Scece ;9() htt://wwwofaercasceceorg Aroxato of Paraetrc Fctos by Bcbc B-sle Fctos Mad Arfakhra a Sahar Ddab b a Deartet of Matheatcs Islac Azad Uversty Cetral Tehra Brach Tehra Ira arfakhra@actbacr

More information

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne. KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces

More information

Motion Estimation Based on Unit Quaternion Decomposition of the Rotation Matrix

Motion Estimation Based on Unit Quaternion Decomposition of the Rotation Matrix Moto Estmato Based o Ut Qatero Decomposto of the Rotato Matrx Hag Y Ya Baozog (Isttte of Iformato Scece orther Jaotog Uversty Bejg 00044 PR Cha Abstract Based o the t qatero decomposto of rotato matrx

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

NumericalSimulationofWaveEquation

NumericalSimulationofWaveEquation Global Joral of Scece Froter Research: A Physcs ad Space Scece Volme 4 Isse 7 Verso. Year 4 Type : Doble Bld Peer Revewed Iteratoal Research Joral Pblsher: Global Jorals Ic. (USA Ole ISSN: 49-466 & Prt

More information

STATISTICAL FORECASTING AND OPTIMIZATION OF TELEVISION ADVERTISING EFFICIENCY

STATISTICAL FORECASTING AND OPTIMIZATION OF TELEVISION ADVERTISING EFFICIENCY 3 e Coférece Fracophoe de MOdélsato et SIMulato «Cocepto Aalyse et Gesto des Systèes Idustrels» MOSIM 0 du 5 au 7 avrl 00 - Troyes (Frace) STATISTICAL FORECASTING AND OPTIMIZATION OF TELEVISION ADVERTISING

More information

Order Nonlinear Vector Differential Equations

Order Nonlinear Vector Differential Equations It. Joural of Math. Aalyss Vol. 3 9 o. 3 39-56 Coverget Power Seres Solutos of Hgher Order Nolear Vector Dfferetal Equatos I. E. Kougas Departet of Telecoucato Systes ad Networs Techologcal Educatoal Isttute

More information

254. Chain type system with wave excitation

254. Chain type system with wave excitation 54 CHAIN TYPE SYSTEM WITH WAVE EXCITATION KAZIMIERAS RAGULSKIS MINVYDAS RAGULSKIS 54 Ca tpe sste wt wave ectato Kazeras Raglss Mvdas Raglss Ltaa Acade o Sceces Departet o Teccal Sceces Gedo 3 Vls LT-3

More information

Interval extension of Bézier curve

Interval extension of Bézier curve WSEAS TRANSACTIONS o SIGNAL ROCESSING Jucheg L Iterval exteso of Bézer curve JUNCHENG LI Departet of Matheatcs Hua Uversty of Huates Scece ad Techology Dxg Road Loud cty Hua rovce 47 R CHINA E-al: ljucheg8@6co

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 17

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 17 CS434a/54a: Patter Recogto Prof. Olga Vesler Lecture 7 Today Paraetrc Usupervsed Learg Expectato Maxato (EM) oe of the ost useful statstcal ethods oldest verso 958 (Hartley) seal paper 977 (Depster et

More information

Centroids & Moments of Inertia of Beam Sections

Centroids & Moments of Inertia of Beam Sections RCH 614 Note Set 8 S017ab Cetrods & Momets of erta of Beam Sectos Notato: b C d d d Fz h c Jo L O Q Q = ame for area = ame for a (base) wdth = desgato for chael secto = ame for cetrod = calculus smbol

More information

with QCD correction and target mass effect using Thermodynamical Bag Model(TBM). Our results of

with QCD correction and target mass effect using Thermodynamical Bag Model(TBM). Our results of 08 IJSRST Volme 4 Isse 8 Prt ISSN: 395-60 Ole ISSN: 395-60X Themed Secto: Scece ad Techoloy Netro Asymmetry ad Flavor Decomposto of Up ad Dow arks Us Thermodyamcs Ba Model K. Gaesamrthy*, K. Paled, C.

More information

Fundamentals of Regression Analysis

Fundamentals of Regression Analysis Fdametals of Regresso Aalyss Regresso aalyss s cocered wth the stdy of the depedece of oe varable, the depedet varable, o oe or more other varables, the explaatory varables, wth a vew of estmatg ad/or

More information

Geometric Modeling

Geometric Modeling Geometrc Modelg 9.580.0 Crves Morteso Chater -5 ad Agel Chater 9 Crve Bascs Crve: Locs of a ot movg wth degree of freedom. Some tyes of eqatos to descrbe crves: Itrsc o relace o exteral frame of referece

More information

A Model Reduction Technique for linear Model Predictive Control for Non-linear Large Scale Distributed Systems

A Model Reduction Technique for linear Model Predictive Control for Non-linear Large Scale Distributed Systems A Model Reducto Techque for lear Model Predctve Cotrol for No-lear Large Scale Dstrbuted Systes Weguo Xe ad Costatos Theodoropoulos School of Checal Egeerg ad Aalytcal Scece Uversty of Machester, Machester

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato

More information

Long blade vibration model for turbine-generator shafts torsional vibration analysis

Long blade vibration model for turbine-generator shafts torsional vibration analysis Avalable ole www.ocpr.co Joural of Checal ad Pharaceutcal Research, 05, 7(3):39-333 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Log blade vbrato odel for turbe-geerator shafts torsoal vbrato aalyss

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

2.160 System Identification, Estimation, and Learning Lecture Notes No. 17 April 24, 2006

2.160 System Identification, Estimation, and Learning Lecture Notes No. 17 April 24, 2006 .6 System Idetfcato, Estmato, ad Learg Lectre Notes No. 7 Aprl 4, 6. Iformatve Expermets. Persstece of Exctato Iformatve data sets are closely related to Persstece of Exctato, a mportat cocept sed adaptve

More information

An Innovative Algorithmic Approach for Solving Profit Maximization Problems

An Innovative Algorithmic Approach for Solving Profit Maximization Problems Matheatcs Letters 208; 4(: -5 http://www.scecepublshggroup.co/j/l do: 0.648/j.l.208040. ISSN: 2575-503X (Prt; ISSN: 2575-5056 (Ole A Iovatve Algorthc Approach for Solvg Proft Maxzato Probles Abul Kala

More information

N-dimensional Auto-Bäcklund Transformation and Exact Solutions to n-dimensional Burgers System

N-dimensional Auto-Bäcklund Transformation and Exact Solutions to n-dimensional Burgers System N-dmesoal Ato-Bäckld Trasformato ad Eact Soltos to -dmesoal Brgers System Mglag Wag Jlag Zhag * & Xagzheg L. School of Mathematcs & Statstcs Hea Uversty of Scece & Techology Loyag 4703 PR Cha. School of

More information

An Alternative Strategy for the Solution of Heat and Incompressible Fluid Flow Problems via Finite Volume Method

An Alternative Strategy for the Solution of Heat and Incompressible Fluid Flow Problems via Finite Volume Method A Alteratve Strategy for the Solto of Heat ad Icompressble Fld Flow Problems va Fte Volme Method Masod Nckaee a, Al Ashrafzadeh b, Stefa Trek a a Isttte of Appled Mathematcs, Dortmd Uversty of Techology,

More information

828. Piecewise exact solution of nonlinear momentum conservation equation with unconditional stability for time increment

828. Piecewise exact solution of nonlinear momentum conservation equation with unconditional stability for time increment 88. Pecewse exact solto of olear mometm coservato eqato wth codtoal stablty for tme cremet Chaghwa Jag, Hyoseob Km, Sokhwa Cho 3, Jho Km 4 Korea Itellectal Property Offce, Daejeo, Korea, 3 Kookm Uversty,

More information

Duality for a Control Problem Involving Support Functions

Duality for a Control Problem Involving Support Functions Appled Matheatcs, 24, 5, 3525-3535 Pblshed Ole Deceber 24 ScRes. http://www.scrp.org/oral/a http://d.do.org/.4236/a.24.5233 Dalty for a Cotrol Proble volvg Spport Fctos. Hsa, Abdl Raoof Shah 2, Rsh K.

More information

Torsional Kinematic Model for Concentric Tube Robots

Torsional Kinematic Model for Concentric Tube Robots 009 IEEE Iteratoal Coferece o Robotcs ad Atomato Kobe Iteratoal Coferece Ceter Kobe Japa Ma -7 009 orsoal Kematc Model for Cocetrc be Robots Perre E. Dpot Seor Member IEEE Jesse Lock ad Eva Btler Abstract

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

Modelling and Control of Water Flow Dynamics via a Collocation Method

Modelling and Control of Water Flow Dynamics via a Collocation Method Modellg ad Cotrol of Water Flow Dyacs va a Collocato Method Dder Georges, Jea-Fraços Dulhoste ad Gldas Besaço Laboratore d Autoatque de Greoble Isttut Natoal Polytechque de Greoble - CNRS BP 6, 38 Sat

More information

The Application of the Hybrid Method to Solving the Volterra Integro-differential Equation

The Application of the Hybrid Method to Solving the Volterra Integro-differential Equation Proceedgs of the World Cogress o Egeerg 3 Vol I WCE 3 Jul 3-5 3 Lodo UK The Applcato of the Hbrd Method to Solvg the Volterra Itegro-dfferetal Equato G Mehdeva M Iaova ad V Ibrahov Abstract There are several

More information

Objectives of Multiple Regression

Objectives of Multiple Regression Obectves of Multple Regresso Establsh the lear equato that best predcts values of a depedet varable Y usg more tha oe eplaator varable from a large set of potetal predctors {,,... k }. Fd that subset of

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

1 Introduction. * Rocket Systems Division/ IMI, Israel ** School of Mathematics/Tel-Aviv University.

1 Introduction. * Rocket Systems Division/ IMI, Israel ** School of Mathematics/Tel-Aviv University. Seeth Iteratoal Coferece o Cotatoal Fld Dacs (ICCFD7), Bg Islad, Haa, Jl 9-, ICCFD7-94 Fast Iterate Methods for Naer-Stoes Eqatos th SS rblece Model ad Chestr O. eles *, E. rel ** ad S. Ya * Corresodg

More information

Solving optimal margin classifier

Solving optimal margin classifier Solvg optal arg classfer Recall our opt proble: s s equvalet to Wrte te Lagraga: Recall tat * ca be reforulated as No e solve ts dual proble: b b + s.t a b b + s.t 0 [ ] + b b L * a b b L 0 a b b L 0 ***

More information

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line HUR Techcal Report 000--9 verso.05 / Frak Borg (borgbros@ett.f) A Study of the Reproducblty of Measuremets wth HUR Leg Eteso/Curl Research Le A mportat property of measuremets s that the results should

More information