A new algorithm for the simulation of the boltzmann equation using the direct simulation monte-carlo method
|
|
- Andrew Patrick
- 6 years ago
- Views:
Transcription
1 Joural of Mechacal Scece ad echology 3 (009) 86~870 Joural of Mechacal Scece ad echology wwwsprgerlkcom/cotet/ x DOI 0007/s A ew algorthm for the smulato of the boltzma equato usg the drect smulato mote-carlo method A A Gajae ad S S Nourazar Mechacal Egeerg Departmet, Amrkabr Uversty of echology, ehra, IRAN (Mauscrpt Receved December, 008; Revsed Jue 9, 009; Accepted July 5, 009) Abstract A ew algorthm, the modfed drect smulato Mote-Carlo (MDSMC) method, for the smulato of Couette- aylor gas flow problem s developed he aylor seres expaso s used to obta the modfed equato of the frstorder tme dscretzato of the collso equato ad the ew algorthm, MDSMC, s mplemeted to smulate the collso equato the Boltzma equato I the ew algorthm (MDSMC) there exsts a ew extra term whch takes to accout the effect of the secod order collso hs ew extra term has the effect of ehacg the appearace of the frst aylor stabltes of vortces streamles I the ew algorthm (MDSMC) there also exsts a secod order term tme step the probablstc coeffcets whch has the effect of smulato wth hgher accuracy tha the prevous DSMC algorthm he appearace of the frst aylor stabltes of vortces streamles usg the MDSMC algorthm at dfferet ratos of ω ν (expermetal data of aylor []) occurred at less tme-step tha usg the DSMC algorthm he results of the torque developed o the statoary cylder usg the MDSMC algorthm show better agreemet comparso wth the expermetal data of Kuhlthau [] tha the results of the torque developed o the statoary cylder usg the DSMC algorthm Keywords: Boltzma equato; DSMC; Rotatg cylder; Hgh order DSMC; Modfed DSMC Itroducto I the gas flow problems where the legth scale of the system s comparable to the mea free path for molecules the gas flow the cocept of the cotuum s o more vald, Kudse umber greater tha 0 [3] I ths case the smulato s doe usg the Drect Smulato Mote-Carlo (DSMC) or the Collsoal Boltzma Equato (CBE) methods I most cases the drect soluto of the CBE s mpractcable due to the huge umber of molecules, however most of the tme; the mplemetato of the DSMC s more practcable So far the rarefed gas flow problems are smulated hs paper was recommeded for publcato revsed form by Assocate Edtor Ghu So Correspodg author el: , Fax: E-mal address: cp@autacr KSME & Sprger 009 usg the DSMC algorthm by Vogetz et al [4], Stefaov et al [5], Brd G A [3] & [6], Shagawa et al [7] ad Myog [8] he DSMC algorthm s used the flow smulato of the prevous researchers ad the results of the smulatos show some dscrepaces whe compared wth the expermetal data For example Vogetz et al [4], studed the theoretcal ad expermetal aspects of the rarefed supersoc flow about several smple shapes (sphere, cylder, coe ad wedge) her results of smulato show less dscrepacy at hgh Kudse umber tha low Kudse umber whe compared wth measuremets he Couette-aylor gas flow s smulated usg the DSMC algorthm by Stefaov ad Cercga [5] he formato of the aylor stabltes of vortces s clearly exhbted he usteady axally symmetrc ad three-dmesoal Couette-aylor flow s smulated by Brd [6] I ths work, the curret status of the
2 86 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~870 DSMC algorthm s revewed wth partcular emphass o ts rage of valdty, the extet of ts valdato agast expermet, ad the DSMC applcatos to the study of flow stabltes are dscussed he smulato of the rarefed gas flow through crcular tube of fte legth the trastoal regme at both low Kudse umber ad hgh Kudse umber are doe usg the DSMC algorthm by Shagawa et al [7] ad Myog [8] I ths study we would lke to develop a ew algorthm to smulate the collso equato the Boltzma equato wth hgher accuracy tha the prevous algorthms avalable the lterature Purpose of the preset work So far the rarefed gas dyamc problems, whe the Kudse umber s large eough, are smulated usg the frst-order tme dscretzatos of the Boltzma equato [3] he Boltzma equato s splt tme to purely covectve equato (collso term s zero) ad purely collso equato (covectve term s zero) he collso equato s dscretzed tme by the frst-order Euler scheme ad the probablstc terpretato of the dscretzed equato breaks dow whe the rato µ t ε s large eough, [9-4] However the preset work our goal s to develop a ew algorthm whch cosders the effects of the trucato errors the tme dscretzato of the frst-order Euler scheme for the collso equato order to acheve more accurate probablstc terpretatos o acheve ths goal, we wrte the modfed equato of the frst-order Euler scheme usg the aylor expaso seres ad the we capture the hgher order trucated terms I the preset work due to the lmtato of the computg tme we are lmted to choose oly the frst two terms the aylor expaso seres he detal of the dervato of our ew algorthm whch we call that modfed drect smulato Mote- Carlo (MDSMC) algorthm s preseted the secto b the MDSMC algorthm Mathematcal formulatos he boltzma equato he Boltzma equato s wrtte as, [5]: f + v r f = σ ( v v, )( f ( v ) f ( v ) f ( v) f ( v )) d dv ε Ω Ω 3 R S = Q( f, f ) ε () I Eq (), f ( v) s the oegatve desty probablty dstrbuto fucto of molecule of class havg the velocty of v, f ( v ) s the oegatve desty probablty dstrbuto fucto of the molecule of class havg the velocty of v, f ( v ) s the post-collso oegatve desty probablty dstrbuto fucto of the molecule of class havg the velocty of v, ad f ( v ) s the post-collso oegatve desty probablty dstrbuto fucto of the molecule of class havg the velocty of v ad Ω s the agle the sphercal coordates he Q( f, f ) s the tegral collso whch descrbes the bary collsos of the molecules he kerel σ s a o egatve fucto whch s descrbed, [-4]: ( ) bα ( θ) α σ v v, Ω = v v () Where, θ s the scatterg agle betwee v v ad v v Ω he varable hard sphere (VHS), [3], model s ofte used umercal smulato of rarefed gases, where, bα ( θ ) = C wth C a postve costat ad α = he value of C s equal to (Brd, 994), C = σ,where σ s the collso cross secto ad s equal π d 4 he MDSMC algorthm Splttg equato, the Boltzma equato, [6], to equato for the effect of collso, v r f 0, ad equato for the effect of covecto, Q( f, f ) 0 he equato for the effect of covecto s wrtte as, [-4]: f + v r f = 0 (3) Ad the equato for the effect of collso s wrtte as, [-4]: f = Q( f, f ), ε (4)
3 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~ ad the collso term s wrtte as: Q f f ε (, ) ( ( ) ( ) ( ) ( )) σ v v f v f v f v f v dωdv ( ) ( ) = σ v v f v f v dωdv ( ) ( ) σ v v f v f v dωdv = = P( f, f ) µ ( v) f ε + Where, ( ) ( ) 4π 0 f ( v ) (5) µ v = σ v v f v dω dv = σ v v dω d v = κρ m s the mea collso frequecy for the molecules havg velocty v, ρ s the desty of the gas, m s the mass of a molecule of the 4π gas, κ s a molecular costat κ = σ v v dω + ad ρ ( v ) m= f dv [7] I specal case whch σ v v s depedet of v v (Maxwella molecules), we have: κρ µ ( v ) = µ = (6) m Substtutg Eq (6) to Eq (5) ad the to Eq (4): f = Q( f, f ) = P( f, f ) µ f ε ε 0 (7) he frst order tme dscretzato of Eq (7) s wrtte as: (, f ) P f + µ t µ t f = f + ε ε µ (8) he probablstc terpretato of Eq (8) s the followg I order a partcle s sampled from f +, a partcle s sampled from f wth probablty of ( µ t ε ) ad a partcle s sampled from ( P f, f ) µ wth probablty of µ t ε It s to be oted that the above probablstc terpretato fals f the rato of µ t ε s too large because the coeffcet of f o the rght had sde may become egatve, [9-4] + I our algorthm, we wrte for f aylor seres expaso as: ( ) + f t f 3 ( ) f = f + t + + O t! he secod order dervatve, 9 s wrtte as: f (9) f t, equato f = = P( f, f ) µ f = ε P( f, f ) µ f = ε ε P( f, f ) µ P( f, f ) µ f ε ε ε P( f, f ) µ µ = P ( f, f ) + f ε ε ε (0) Substtutg equato0 for the value of f t ad equato 7 for the value of f t to Eq (9): + t f = f + P( f, f ) µ f ε + µ P f! ε ε µ 3 + f O + ( t) ε ( t) P( f, f ) σ (, f ) he (, ) ( ) ( ) () P f f = v v f v f v dω dv s the blear operator descrbg the collso effect of two molecules he tme dervatve of ( P f, f ) s wrtte as: (, f ) P f = f ( v ) σ v v f ( v ) dω dv he tme dscretzato of (, ) P f f s wrtte as: ()
4 864 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~870 (, f ) P f = f ( v ) f ( v ) σ v v v v t f ( ) dωd = σ v f ( v ) f ( v ) dωdv t v σ v v f ( v ) f ( v ) dωdv σ (3) Substtutg for P( f, f ) = v v f ( v ) ( ) f v dω dv to Eq (3): ( f ) P f, = { P( f, f ) P( f, f )} t Substtutg Eq (4) to Eq (): (, f ) P f + µ t f = f + f + ε µ! ε t µ µ ( t) µ P( f, f ) P( f, f ) (, f ) µ P f µ + + ε µ ε where (, ) ( ) f O t 3, (4) (5) f = P f f µ Rearragg ad trucatg terms hgher tha the secod order Eq (5): f + ( t) µ t µ = + ε ε µ t µ + ( t) P( f, f ) ε ε µ (, f ) µ t P f + ε µ f (6) he probablstc terpretato of Eq (6) s the followg I order a partcle s sampled from f a partcle s sampled from f wth probablty of ( µ t ε + µ ( ) ) t ε, a partcle s sampled from ( P f, f ) µ wth probablty of ( µ t ε µ ( ) ) t ε ad a partcle s sampled from (, P f f ) µ wth probablty of µ t ε Comparg equato 6, the ew algorthm +, (MDSMC), wth equato 8 (the DSMC algorthm) reveals two facts as follows: ) Eq (7), the ew algorthm (MDSMC), cossts of three terms that are sampled probablstcally, however Eq (8) (the DSMC algorthm) cossts of two terms that are sampled probablstcally, the thrd extra term Eq (6), (, P f f ) µ, s terpreted as the collso betwee the partcles sampled from f ad the partcles sampled from ( P f, f ) µ ) the probablstc coeffcets Eq (7), the ew algorthm (MDSMC), cosst of the secod order terms tme step however the probablstc coeffcets Eq (8) (the DSMC algorthm) cosst of the frst order terms tme step 3 Aalytcal solutos he eergy E of a partcle a axally symmetrc gas flow sde a rotatg cylder s gve as, [8], E( r) = Iω = mr ω (7) he rotatoal effect s the same of addtoal exteral feld actg o the system ad may be wrtte as: U( r) = Iω = mr ω (8) Usg the Boltzma dstrbuto for the partcle umber desty ad substtutg for U( r ) from Eq (8): ( ) mr ω U r ( r) = Aexp = Aexp, k k (9) the ormalzato factor A Eq 9, s determed N = r dv : by ( ) R π mr ω N = Aexp 0 rdrdϕ 0 k π Ak mrω = exp mω k he the ormalzato factor mr ω exp k A s (0) Nmω π k
5 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~ Substtutg for A to Eq (0): mω r exp Nmω k ( r) = π kl mω R exp k () Where, N s the total umber of molecules, m s the mass of a molecule of gas, ω s the agular velocty, k s the Boltzma costat, s the absolute temperature, L s the legth of the cylder, R s the cylder radus ad r s the radal dstace 4 he umercal procedures 4 he DSMC Algorthm (the VHS collso model molecules): for all partcles - Compute a upper boud σ= max ( πd v v j ) 4 for the cross secto, σ s updated each collso - Set µ = 4πσ - Set Nc = Iroud ( µ N t /( ε )) - Select N c dummy collso pars (, j) uformly amog all possble pars, ad for those - Compute the relatve cross secto σ j = π d v v j 4 - Geerate uform radom umbers Rad - If Rad < σ j σ Perform the collso betwee ad j, ad compute the post-collso veloctes v ad v j Set v + = v, v + j = vj else Set v + = v, v + j = v j Set v + = v for the N Nc partcles that have ot bee selected Ed for Durg each step, all the other N Nc partcle veloctes rema uchaged 4 he MDSMC Algorthm (the VHS collso model molecules): for t = to tot - Compute a upper boud, σ - Set µ = 4πσ - Compute ( t) N µ t µ N µ t N = Iroud + + c ε ε 4 ε - Select N c dummy collso pars (, j ) uformly amog all possble pars - Compute the relatve cross secto σ j - Geerate uform radom umbers ( Rad ) - If Rad < σ j σ Perform the collso betwee ad j, ad compute the post-collso veloctes v ad v j N µ t - Set N = Iroud c ε - Select Nc partcles amog those that have ot collded ad select N c partcles amog those that have collded - Compute the relatve cross secto σ j - Geerate uform radom umbers ( Rad ) - If Rad < σ j σ Perform the collso betwee ad j, ad compute the post-collso veloctes v ad v j Set v + = v for all the N N c N c partcles that have ot bee selected Ed for 5 Dscussos of results 5 Descrpto of case study problems I order to valdate our ew algorthm we cosder three dfferet case study problems, the frst case study problem the umber desty of argo a rotatg cylder s smulated usg the MDSMC ad DSMC algorthms, wth real molecules, 0000 model molecules ad (000 50) total umber of cells, ad the results of the smulato are compared wth the aalytcal soluto he radus of the cylder s 00m ad ts legth s 0m ad rotates wth agular velocty of5900rev s he gas sde the cylder s Argo (Ar) wth the tal temperature of 300K ad the tal pressure of 30Pa absolute I the secod ad thrd case study problems the Couette-aylor flow s smulated usg the MDSMC ad DSMC algorthms, wth real molecules, 0000 model molecules ad 5000 (50 0) total umber of cells, ad the results of the smulato are compared wth the expermetal data of aylor, G I, [] ad Kuhlthau, A R, [] For the comparso purposes we choose the same case study problems depcted by aylor, G I, [] ad Kuhlthau, A, [] respectvely
6 866 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~870 5 Comparsos of the umber desty results wth the aalytcal soluto Fg shows the comparso of the aalytcal soluto of the umber desty of the argo gas sde a rotatg cylder wth the results of the MDSMC ad the DSMC smulatos he comparso of the results of the umber desty usg the MDSMC algorthm wth the aalytcal soluto shows closer agreemet tha the results of the umber desty usg the DSMC algorthm he agreemet betwee our results of the umber desty usg the MDSMC algorthm s more proouced tha the results of the umber desty usg the DSMC algorthm the rego closer to the ceter of the cylder Furthermore, the fluctuatos of the umber desty results usg the MDSMC algorthm are less tha the fluctuatos of the umber desty results usg the DSMC algorthm the rego closer to the ceter of the cylder Fgs (a), (b), (c) ad (d) show the results of the streamles ad the desty cotours usg the MDSMC ad the DSMC algorthms ad the results of the streamles ad the temperatures cotours usg the MDSMC ad the DSMC algorthms respectvely he results of the streamles, the desty cotours ad the temperatures usg the MDSMC have less fluctuato tha the results of the DSMC smulatos hs s agreemet wth the results of the smulato usg the MDSMC ad the DSMC algorthms for the umber desty Fg 53 Comparsos of the results of Couette-aylor flow smulatos wth expermets of aylor he frst aylor stabltes of vortces streamles Fg Comparso of the aalytcal soluto of the umber desty wth the results of the MDSMC ad the DSMC algorthms Fg the streamles, the costat desty cotours ad the costat temperature cotours: (a) the streamles ad the costat desty cotours usg the MDSMC algorthm, (b) the streamles ad the costat desty cotours usg the DSMC algorthm, (c) the streamles ad the costat temperature cotours usg the MDSMC algorthm, (d) the streamles ad the costat temperature cotours usg the DSMC algorthm
7 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~ Fg 3 Streamles: (a) usg the MDSMC algorthm at a= after 6000 teratos, (b) usg the DSMC algorthm at a= after 4000 teratos the aylor, [] expermet appear at the ratos of ων= 303rad m, ων= 707rad m ad ω ν = 89 rad m, where these values of the rato ω ν correspod to three geometres the aylor, [] expermet as follows; the frst geometry cossts of R = 30 cm, R = 4035cm ad L=03cm, the secod geometry cossts of R = 355 cm, R = 4035cm ad L=03cm ad the thrd geometry cossts of R = 38cm, R = 4035cm ad L=03cm, where R s the outer radus of the er cylder, R s the er radus of the outer cylder ad L s the heght of the cylder Fgs 3(a) ad 3(b) show the results of the aylor stabltes of vortces streamles at the rato of ων= 300rad m usg the MDSMC ad the DSMC algorthms respectvely he frst aylor stabltes of vortces streamles usg the MDSMC ad the DSMC algorthms appear at the rato of ων= 300rad m, whereas the expermet of aylor, [] the frst aylor stabltes of vortces streamles appear at the rato of ων= 303rad m he results of the aylor stabltes of vortces streamles usg the MDSMC algorthm appear after 6000 teratos, whereas the Fg 4 Streamles: (a) usg the MDSMC algorthm at a= after 0000 teratos, (b) usg the DSMC algorthm at a= after 4000 teratos Fg 5 Streamles: (a) usg the MDSMC algorthm at a= after 0000 teratos, (b) usg the DSMC algorthm at a= after 3000 teratos
8 868 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~870 results of aylor stabltes of vortces streamles usg the DSMC appear after 4000 teratos Fgs 4(a) ad 4(b) show the results of the aylor stabltes of vortces streamles at the rato of ων= 707 rad m usg the MDSMC ad the DSMC algorthms respectvely he frst aylor stabltes of vortces streamles usg the MDSMC ad the DSMC algorthms appear at the rato of ων= 700rad m, whereas the expermet of aylor, [] the frst aylor stabltes of vortces streamles appear at the rato of ων= 700rad m he frst aylor stabltes of vortces streamles usg the MDSMC algorthm appear after 0000 teratos, whereas the frst aylor stabltes of vortces streamles usg the DSMC appear after 4000 teratos Fgs 5(a) ad 5(b) show the results of the aylor stabltes of vortces streamles at the rato of ων= 890rad m usg the MDSMC ad the DSMC algorthms respectvely he frst aylor stabltes of vortces streamles usg the MDSMC ad the DSMC algorthms appear at the rato of ων= 890rad m, whereas the expermet of aylor the frst aylor stabltes of vortces streamles appear at the rato of ων= 89rad m he frst aylor stabltes of vortces streamles usg the MDSMC algorthm appear after 0000 teratos, whereas the frst aylor stabltes of vortces streamles usg the DSMC appear after 3000 teratos herefore, the effect of the ew algorthm (MDSMC) the smulato s to ehacg the appearace of the aylor stabltes of vortces streamles 54 Comparsos of the results of Couette-aylor flow smulatos wth expermets of Kuhlthau he torque developed o the outer cylder the Couette-aylor flow s measured by Kuhlthau, [] he geometry of Couette-aylor flow Kuhlthau, [] expermet cossts of R = 508cm, R = 635cm ad L=38cm where R s the outer radus of the er cylder, R s the er radus of the outer cylder ad L s the heght of the cylder he pressure of the gas the space betwee the two cylders s 00 µ m Hg ad the er cylder rotates at sx dfferet agular veloctes of 400, 800, 000, 00, 400 ad 600 Rev Sec he results of the torque developed o the outer cylder usg the MDSMC ad the DSMC algorthms are compared wth the expermetal data of Kuhlthau, [] Fg 6 shows the able shows the comparso of the results of the torque developed o the statoary cylder usg the MDSMC ad DSMC algorthms wth the expermetal data of Kuhlthau (960) Rotatoal Velocty (R/S) Calculated orque of the MDSMC (Nm) 0 4 Calculated orque of the DSMC (Nm) 0 4 Measured orque by Kuhlthau (960) (Nm) 0 4 Error Error Calculato Calculato DSMC MDSMC wth wth Measuremet Measuremet % 44309% % 58% % 78% % 99% % 7% % 86% Fg 6 Comparso of expermetal data of the developed torque o the statoary cylder usg the MDSMC ad DSMC algorthms comparso of the expermetal data of the developed torque o the statoary cylder wth the results of smulato usg the MDSMC ad DSMC algorthms at sx dfferet agular veloctes of 400, , 00, 400 ad 600 Rev Sec he comparso of the preset results of smulato wth the expermetal data of Kuhlthau, [] show that the results of smulato usg the MDSMC are closer agreemet tha the results of smulato usg the DSMC algorthm able shows the error assocated wth the torque developed o the statoary cylder usg the MDSMC ad DSMC algorthms at sx dfferet agular veloctes of 400, 800, 000, 00, 400 ad 600 Rev Sec whe compared wth the expermetal data he errors assocated wth the results of the torque usg the MDSMC are less tha the errors of the results of the torque usg the DSMC whe com-
9 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~ pared wth the expermetal data 6 Coclusos Comparg the results of the smulato wth the expermetal data shows that the ew algorthm developed the preset work (the MDSMC algorthm) has the capablty of smulatg the Couette-aylor gas flow problem wth hgher accuracy tha the prevous DSMC algorthm he appearace of the frst aylor stabltes of the vortces streamles usg the MDSMC algorthm s ehaced whe compared wth the appearace of the frst aylor stabltes of the vortces streamles usg the DSMC algorthm hese are due to the facts that, the ew algorthm (MDSMC) there exsts a ew extra term (, P f f ) µ whch takes to accout the effect of the collso betwee the partcles sampled from f ad the partcles sampled from ( P f, f ) µ whch we call that the secod order collso term hs ew extra term has the effect of ehacg the appearace of the frst aylor stabltes of vortces streamles Fally the ew algorthm (MDSMC) there exsts a secod order term tme step the probablstc coeffcets whch has the effect of smulato wth hgher accuracy tha the prevous DSMC algorthm Refereces [] G I aylor, Stablty of a Vscous Lqud Cotaed betwee wo Rotatg Cylders, Phl ras, Ser A, 3 (93) [] A R Kuhlthau, Recet Low Desty Expermets usg Rotatg Cylder echques, I Proceedg of the frst teratoal symposum o rarefed gas dyamcs, (ed FM Deuee), (960), 9-00, Pergamo, Lodo [3] G A Brd, Molecular Gas Dyamcs ad the Drect Smulato of Gas Flows, Oxford Uv Press, Lodo (994) [4] F W Vogetz, G A Brd, J E Broadwel ad H Rugalder, heoretcal ad Expermetal Study of Rarefed Supersoc Flows about Several Smple Shapes, AIAA Joural, 6 () (968) [5] S Stefaov ad C Cercga, Mote Carlo Smu- lato of the aylor-couette Flow of a Rarefed Gas, Joural of Flud Mechacs, 56 (993) 99-3 [6] G A Brd, Recet Advaces ad Curret Challeges for DSMC, Computers ad Mathematcs wth Applcatos, 35 (-) (998) -4 [7] H Shagawa, H Setyawa, Asa, Y Sugyama ad K Okuyama, A expermetal ad theoretcal vestgato of rarfed gas flow through crcular tube of fte legth, Pergamo, Chemcal Egeerg Scece, 56 (00) [8] R S Myog, A geeralzed hydrodyamc computatoal model for rarfed ad mcro scale gas flows, Joural of Computatoal Physcs, 95, (004), [9] K Nabu, Drect Smulato Scheme Derved From the Boltzma Equato, Joural of the Physcal Socety of Japa, 49 (980) [0] H Babovsky, O a Smulato Scheme for the Boltzma Equato, Mathematcal Method the Appled Sceces, 8 (986) 3-33 [] L Paresch ad R E Calfsch, A Implct Mote- Carlo Method for Rarefed Gas Dyamcs, J Comput Phys, (999), 54, 90 [] L Paresch ad G Russo, me Relaxed Mote- Carlo Methods for the Boltzma Equato, SIAM J Sc Comput, 3, (00), [3] L Paresch ad S razz, Asymptotc Preservg Mote Carlo Methods for the Boltzma Equato, rasport heory Statst Phys, 9, (005), pp [4] L Paresch ad S razz, Numercal Soluto of the Boltzma Equato by me Relaxed Mote- Carlo (RMC) Method, Iteratoal Joural of Numercal Method Fluds, 48 (005) [5] C Cercga, he Boltzma Equato ad Its Applcatos, Lectures Seres Mathematcs, 68, Sprger-Verlag, Berl, New York, (988) [6] E Gabetta, L Paresch ad G osca, Relaxato Schemes for Nolear Ketc Equatos, SIAM J, Number Aal, 34 (997) [7] E Wld, O Boltzma s Equato the Ketc heory of Gases, Proc Camb Phl Soc, 47 (95) [8] L Y Kuo, Problems ad solutos o hermodyamcs ad Statstcal Mechacs, World Scetfc Publcato, (990)
10 870 A A Gajae ad S S Nourazar / Joural of Mechacal Scece ad echology 3 (009) 86~870 Dr S S Nourazar receved hs BSc degree from Amrkabr Uversty of echology ehra, Ira he he proceeded hs graduate studes Caada ad receved the M Sc ad PhD degrees Mechacal egeerg from Ottawa Uversty Caada Dr Nourazar s actg ow as assstat professor Mechacal Egeerg Departmet of Amrkabr Uversty of echology he research terests of Dr Nourazar are the CFD compressble ad compressble turbulet oreactve flow as well as rarefed gas dyamcs A A Gajae receved hs BSc degree from Scece & echology of Ira Uversty ehra, Ira he he proceeded hs graduate studes Amrkabr Uversty of echology ad receved the M Sc degrees Mechacal egeerg A A Gajae s studyg ow as PhD studet Mechacal Egeerg Departmet of Amrkabr Uversty of echology he research terests of Gajae are the CFD compressble ad compressble turbulet oreactve flow as well as rarefed gas dyamcs
Functions of Random Variables
Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,
More informationCubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem
Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs
More informationNumerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract
Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos
More informationEstimation of Stress- Strength Reliability model using finite mixture of exponential distributions
Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur
More informationComparison of Dual to Ratio-Cum-Product Estimators of Population Mean
Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract
More informationEntropy ISSN by MDPI
Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,
More informationA Collocation Method for Solving Abel s Integral Equations of First and Second Kinds
A Collocato Method for Solvg Abel s Itegral Equatos of Frst ad Secod Kds Abbas Saadatmad a ad Mehd Dehgha b a Departmet of Mathematcs, Uversty of Kasha, Kasha, Ira b Departmet of Appled Mathematcs, Faculty
More informationBeam Warming Second-Order Upwind Method
Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet
More informationManipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department
Mapulator Dyamcs mrkabr Uversty of echology omputer Egeerg formato echology Departmet troducto obot arm dyamcs deals wth the mathematcal formulatos of the equatos of robot arm moto. hey are useful as:
More informationComparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates
Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com
More information{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:
Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed
More informationModule 1 : The equation of continuity. Lecture 5: Conservation of Mass for each species. & Fick s Law
Module : The equato of cotuty Lecture 5: Coservato of Mass for each speces & Fck s Law NPTEL, IIT Kharagpur, Prof. Sakat Chakraborty, Departmet of Chemcal Egeerg 2 Basc Deftos I Mass Trasfer, we usually
More informationComparing Different Estimators of three Parameters for Transmuted Weibull Distribution
Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted
More informationBounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy
Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled
More informationDerivation 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 informationDIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS
DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals
More informationLecture 3 Probability review (cont d)
STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto
More informationNumerical Simulation of the Eddy System on the Basis of the Boltzmann Equation
Numercal Smulato of the Eddy System o the Bass of the Boltzma Equato V.V.Arstov a, O.I.Roveskaya b a Dorodcy Computg Cetre of Russa Academy of Sceces, Moscow, Russa b Uversty of Ude, Ude, Italy Abstract.
More informationSummary of the lecture in Biostatistics
Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the
More informationA New Family of Transformations for Lifetime Data
Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several
More informationPROJECTION PROBLEM FOR REGULAR POLYGONS
Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c
More informationBootstrap Method for Testing of Equality of Several Coefficients of Variation
Cloud Publcatos Iteratoal Joural of Advaced Mathematcs ad Statstcs Volume, pp. -6, Artcle ID Sc- Research Artcle Ope Access Bootstrap Method for Testg of Equalty of Several Coeffcets of Varato Dr. Navee
More informationMAX-MIN AND MIN-MAX VALUES OF VARIOUS MEASURES OF FUZZY DIVERGENCE
merca Jr of Mathematcs ad Sceces Vol, No,(Jauary 0) Copyrght Md Reader Publcatos wwwjouralshubcom MX-MIN ND MIN-MX VLUES OF VRIOUS MESURES OF FUZZY DIVERGENCE RKTul Departmet of Mathematcs SSM College
More informationCarbonyl Groups. University of Chemical Technology, Beijing , PR China;
Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag
More informationC-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 informationDynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load
Dyamc Aalyss of Axally Beam o Vsco - Elastc Foudato wth Elastc Supports uder Movg oad Saeed Mohammadzadeh, Seyed Al Mosayeb * Abstract: For dyamc aalyses of ralway track structures, the algorthm of soluto
More informationEVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM
EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal
More informationConfidence Intervals for Double Exponential Distribution: A Simulation Approach
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Physcal ad Mathematcal Sceces Vol:6, No:, 0 Cofdece Itervals for Double Expoetal Dstrbuto: A Smulato Approach M. Alrasheed * Iteratoal Scece
More informationStudy of Correlation using Bayes Approach under bivariate Distributions
Iteratoal Joural of Scece Egeerg ad Techolog Research IJSETR Volume Issue Februar 4 Stud of Correlato usg Baes Approach uder bvarate Dstrbutos N.S.Padharkar* ad. M.N.Deshpade** *Govt.Vdarbha Isttute of
More informationResearch Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix
Mathematcal Problems Egeerg Volume 05 Artcle ID 94757 7 pages http://ddoorg/055/05/94757 Research Artcle A New Dervato ad Recursve Algorthm Based o Wroska Matr for Vadermode Iverse Matr Qu Zhou Xja Zhag
More informationAnalysis of Lagrange Interpolation Formula
P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal
More informationA 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 informationUNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS
UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted
More informationAnalysis of Variance with Weibull Data
Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad
More informationIntroduction 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 informationLecture 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 informationLogistic regression (continued)
STAT562 page 138 Logstc regresso (cotued) Suppose we ow cosder more complex models to descrbe the relatoshp betwee a categorcal respose varable (Y) that takes o two (2) possble outcomes ad a set of p explaatory
More informationOnline Publication Date: 12 December, 2011 Publisher: Asian Economic and Social Society
Ole Publcato Date: December, Publsher: Asa Ecoomc ad Socal Socety Soluto Of A System Of Two Partal Dfferetal Equatos Of The Secod Order Usg Two Seres Hayder Jabbar Abood (Departmet of Mathematcs, College
More informationECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013
ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport
More informationUnimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods
Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal
More information5 Short Proofs of Simplified Stirling s Approximation
5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:
More informationANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK
Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION
More informationPREDICTION OF VAPOR-LIQUID EQUILIBRIA OF BINARY MIXTURES USING QUANTUM CALCULATIONS AND ACTIVITY COEFFICIENT MODELS
Joural of Chemstry, Vol. 47 (5), P. 547-55, 9 PREDICTIO OF VAPOR-LIQUID EQUILIBRIA OF BIARY MIXTURES USIG QUATUM CALCULATIOS AD ACTIVITY COEFFICIET MODELS Receved May 8 PHAM VA TAT Departmet of Chemstry,
More informationCHAPTER VI Statistical Analysis of Experimental Data
Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca
More informationBayes Interval Estimation for binomial proportion and difference of two binomial proportions with Simulation Study
IJIEST Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue 5, July 04. Bayes Iterval Estmato for bomal proporto ad dfferece of two bomal proportos wth Smulato Study Masoud Gaj, Solmaz hlmad
More informationMOLECULAR 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 informationThe numerical simulation of compressible flow in a Shubin nozzle using schemes of Bean-Warming and flux vector splitting
The umercal smulato of compressble flow a Shub ozzle usg schemes of Bea-Warmg ad flux vector splttg Gh. Paygaeh a, A. Hadd b,*, M. Hallaj b ad N. Garjas b a Departmet of Mechacal Egeerg, Shahd Rajaee Teacher
More informationbest estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best
Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg
More informationLecture 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 informationBayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information
Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst
More informationComplete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables
Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl
More informationKLT Tracker. Alignment. 1. Detect Harris corners in the first frame. 2. For each Harris corner compute motion between consecutive frames
KLT Tracker Tracker. Detect Harrs corers the frst frame 2. For each Harrs corer compute moto betwee cosecutve frames (Algmet). 3. Lk moto vectors successve frames to get a track 4. Itroduce ew Harrs pots
More informationUniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system
Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra
More informationAnalysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed
Amerca Joural of Mathematcs ad Statstcs. ; (: -8 DOI:.593/j.ajms.. Aalyss of a Reparable (--out-of-: G System wth Falure ad Repar Tmes Arbtrarly Dstrbuted M. Gherda, M. Boushaba, Departmet of Mathematcs,
More informationLecture Notes Types of economic variables
Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte
More informationLecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model
Lecture 7. Cofdece Itervals ad Hypothess Tests the Smple CLR Model I lecture 6 we troduced the Classcal Lear Regresso (CLR) model that s the radom expermet of whch the data Y,,, K, are the outcomes. The
More informationA Note on Ratio Estimators in two Stage Sampling
Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue, December 0 ISS 0- A ote o Rato Estmators two Stage Samplg Stashu Shekhar Mshra Lecturer Statstcs, Trdet Academy of Creatve Techology (TACT),
More informationFREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM
Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,
More information2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.
.5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely
More informationFourth 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 informationNumerical simulation of various flows over a square cavity
Iteratoal Joural of Mechacal Egeerg ad Research, ISSN 0973-4562 Vol. 5 No.1 (2015) Research Ida Publcatos; http://www.rpublcato.com/jmer.htm Numercal smulato of varous flows over a square cavty N.Sethl
More informationBERNSTEIN 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 informationBlock-Based Compact Thermal Modeling of Semiconductor Integrated Circuits
Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud
More informationGeneralized Ideal Gas Equations for Structureful Universe
Etropy, 2006, 8,175-181 Etropy ISSN 1099-4300 www.mdp.org/etropy/ Full paper Geeralzed Ideal Gas Equatos for Structureful Uverse Shahd N. Afrd 1 ad Khald Kha 2 Departmet of Physcs, Quad--Azam Uversty,
More informationNon-uniform Turán-type problems
Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at
More information( q Modal Analysis. Eigenvectors = Mode Shapes? Eigenproblem (cont) = x x 2 u 2. u 1. x 1 (4.55) vector and M and K are matrices.
4.3 - Modal Aalyss Physcal coordates are ot always the easest to work Egevectors provde a coveet trasformato to modal coordates Modal coordates are lear combato of physcal coordates Say we have physcal
More informationOn Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros
It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor
More informationA Remark on the Uniform Convergence of Some Sequences of Functions
Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut
More information(Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing
Iteratoal Joural of Computer Applcatos (0975 8887) (Mote Carlo) Resamplg Techque Valdty Testg ad Relablty Testg Ad Setawa Departmet of Mathematcs, Faculty of Scece ad Mathematcs, Satya Wacaa Chrsta Uversty
More informationDetermination of angle of attack for rotating blades
Determato of agle of attack for rotatg blades Hora DUMITRESCU 1, Vladmr CARDOS*,1, Flor FRUNZULICA 1,, Alexadru DUMITRACHE 1 *Correspodg author *,1 Gheorghe Mhoc-Caus Iacob Isttute of Mathematcal Statstcs
More informationONE GENERALIZED INEQUALITY FOR CONVEX FUNCTIONS ON THE TRIANGLE
Joural of Pure ad Appled Mathematcs: Advaces ad Applcatos Volume 4 Number 205 Pages 77-87 Avalable at http://scetfcadvaces.co. DOI: http://.do.org/0.8642/jpamaa_7002534 ONE GENERALIZED INEQUALITY FOR CONVEX
More information[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)?
Chem 78 Spr. M. Wes Bdg Polyomals Bdg Polyomals We ve looked at three cases of lgad bdg so far: The sgle set of depedet stes (ss[]s [ ] [ ] Multple sets of depedet stes (ms[]s, or m[]ss All or oe, or two-state
More informationA Helmholtz energy equation of state for calculating the thermodynamic properties of fluid mixtures
A Helmholtz eergy equato of state for calculatg the thermodyamc propertes of flud mxtures Erc W. Lemmo, Reer Tller-Roth Abstract New Approach based o hghly accurate EOS for the pure compoets combed at
More informationFinite Difference Approximations for Fractional Reaction-Diffusion Equations and the Application In PM2.5
Iteratoal Symposum o Eergy Scece ad Chemcal Egeerg (ISESCE 5) Fte Dfferece Appromatos for Fractoal Reacto-Dffuso Equatos ad the Applcato I PM5 Chagpg Xe, a, Lag L,b, Zhogzha Huag,c, Jya L,d, PegLag L,e
More informationA Robust Total Least Mean Square Algorithm For Nonlinear Adaptive Filter
A Robust otal east Mea Square Algorthm For Nolear Adaptve Flter Ruxua We School of Electroc ad Iformato Egeerg X'a Jaotog Uversty X'a 70049, P.R. Cha rxwe@chare.com Chogzhao Ha, azhe u School of Electroc
More informationThe number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter
LOGISTIC REGRESSION Notato Model Logstc regresso regresses a dchotomous depedet varable o a set of depedet varables. Several methods are mplemeted for selectg the depedet varables. The followg otato s
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationBIOREPS Problem Set #11 The Evolution of DNA Strands
BIOREPS Problem Set #11 The Evoluto of DNA Strads 1 Backgroud I the md 2000s, evolutoary bologsts studyg DNA mutato rates brds ad prmates dscovered somethg surprsg. There were a large umber of mutatos
More informationSequential Approach to Covariance Correction for P-Field Simulation
Sequetal Approach to Covarace Correcto for P-Feld Smulato Chad Neufeld ad Clayto V. Deutsch Oe well kow artfact of the probablty feld (p-feld smulato algorthm s a too large covarace ear codtog data. Prevously,
More informationChapter 8. Inferences about More Than Two Population Central Values
Chapter 8. Ifereces about More Tha Two Populato Cetral Values Case tudy: Effect of Tmg of the Treatmet of Port-We tas wth Lasers ) To vestgate whether treatmet at a youg age would yeld better results tha
More informationX ε ) = 0, or equivalently, lim
Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationSpecial Instructions / Useful Data
JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth
More informationA NEW LOG-NORMAL DISTRIBUTION
Joural of Statstcs: Advaces Theory ad Applcatos Volume 6, Number, 06, Pages 93-04 Avalable at http://scetfcadvaces.co. DOI: http://dx.do.org/0.864/jsata_700705 A NEW LOG-NORMAL DISTRIBUTION Departmet of
More informationAN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES
AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES Jose Javer Garca Moreta Graduate Studet of Physcs ( Sold State ) at UPV/EHU Address: P.O 6 890 Portugalete, Vzcaya (Spa) Phoe: (00) 3 685 77 16
More informationExtreme Value Theory: An Introduction
(correcto d Extreme Value Theory: A Itroducto by Laures de Haa ad Aa Ferrera Wth ths webpage the authors ted to form the readers of errors or mstakes foud the book after publcato. We also gve extesos for
More informationA Method for Damping Estimation Based On Least Square Fit
Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato
More informationBias Correction in Estimation of the Population Correlation Coefficient
Kasetsart J. (Nat. Sc.) 47 : 453-459 (3) Bas Correcto Estmato of the opulato Correlato Coeffcet Juthaphor Ssomboothog ABSTRACT A estmator of the populato correlato coeffcet of two varables for a bvarate
More informationIdeal multigrades with trigonometric coefficients
Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all
More informationArithmetic Mean and Geometric Mean
Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,
More informationJournal of Mathematical Analysis and Applications
J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value
More informationOn generalized fuzzy mean code word lengths. Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India
merca Joural of ppled Mathematcs 04; (4): 7-34 Publshed ole ugust 30, 04 (http://www.scecepublshggroup.com//aam) do: 0.648/.aam.04004.3 ISSN: 330-0043 (Prt); ISSN: 330-006X (Ole) O geeralzed fuzzy mea
More informationQ-analogue of a Linear Transformation Preserving Log-concavity
Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com
More informationPart 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))
art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the
More informationA 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 informationSolution of General Dual Fuzzy Linear Systems. Using ABS Algorithm
Appled Mathematcal Sceces, Vol 6, 0, o 4, 63-7 Soluto of Geeral Dual Fuzzy Lear Systems Usg ABS Algorthm M A Farborz Aragh * ad M M ossezadeh Departmet of Mathematcs, Islamc Azad Uversty Cetral ehra Brach,
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationA new Family of Distributions Using the pdf of the. rth Order Statistic from Independent Non- Identically Distributed Random Variables
Iteratoal Joural of Cotemporary Mathematcal Sceces Vol. 07 o. 8 9-05 HIKARI Ltd www.m-hkar.com https://do.org/0.988/jcms.07.799 A ew Famly of Dstrbutos Usg the pdf of the rth Order Statstc from Idepedet
More informationTHE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA
THE ROYAL STATISTICAL SOCIETY 3 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA PAPER I STATISTICAL THEORY & METHODS The Socety provdes these solutos to assst caddates preparg for the examatos future years ad
More informationOn the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros
It. Joural of Math. Aalyss, Vol. 7, 2013, o. 59, 2947-2951 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ma.2013.310259 O the Iterval Zoro Symmetrc Sgle Step Procedure IZSS1-5D for the Smultaeous
More information