OPTIMALITY AND SECOND ORDER DUALITY FOR A CLASS OF QUASI-DIFFERENTIABLE MULTIOBJECTIVE OPTIMIZATION PROBLEM
|
|
- Wendy Flowers
- 6 years ago
- Views:
Transcription
1 Yugoslav Joural of Oeraos Research 3 (3) Nuber, -35 DOI:.98/YJOR394S OPTIMALITY AND SECOND ORDER DUALITY FOR A CLASS OF QUASI-DIFFERENTIABLE MULTIOBJECTIVE OPTIMIZATION PROBLEM Rsh R. SAHAY Deare of Oeraoal Research, Uversy of Delh-7, Ida raasahay@gal.co Guee BHATIA Deare of Maheacs, Uversy of Delh-7, Ida guee7@yahoo.co. Receved: Јаuary 3 / Acceed: Jue 3 Absrac: A secod order Mod-Wer ye dual s reseed for a o-dffereable ulobecve ozao roble wh suare roo ers he obecve as well as he cosras. Oaly ad dualy resuls are reseed. Classes of geeralzed hgher order η bovex ad relaed fucos are roduced o sudy he oaly ad dualy resuls. A fracoal case s reseed a he ed. Keywords: Hgher order η bovexy, Src zers, Secod order dualy. MSC: 6A5, 9C9, 9C46.. INTRODUCTION The oo of secod order dualy was frs roduced by Magasara [5]. The ovao behd he cosruco of a secod order dual was he alcably he develoe of algorhs for cera robles. The secod order dual has couaoal advaage over he frs order dual as rovdes a gher boud for he value of he obecve fuco whe aroxaos are used. Oe ore advaage of secod order dualy s ha, f a feasble o for he roble s rovded ad frs order dualy does o hold he, oe ca use a secod order dual o ge a lower boud for he value of ral obecve fuco [3]. Recely, several auhors [, ad 4] have suded secod order dualy for varous classes of ozao robles.
2 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy Uder he assuo ha eas, varaces ad covaraces of he rado varables are kow, Sha [8] esablshed a way ha a sochasc lear rograg roble leads o a deersc olear rograg roble, where he fucos volve suare roos of osve se-defe uadrac fors. I s geerally dffcul o solve such robles because of o-dffereably of suare roo ers volved. However, s useful o sudy he dualy asecs of such robles, whch ay easly lead o he soluo of hese robles. Frs order dualy for varous fors of scalar as well as ulobecve ozao robles, volvg suare roo ers of cera osve se-defe uadrac fors have bee suded by ay auhors (see, for exale [6,7,4,6,8 ad 9]). Praccal alcaos of hese robles ca be foud ul-facly locao robles ad orfolo seleco roble. I hs aer, a secod order Mod-Wer ye dual for a ulobecve ozao roble volvg suare roo ers obecves as well as he cosrag fucos s reseed, ad dualy resuls are esablshed. For hs urose, we roduce classes of geeralzed hgher order η bovex ad relaed fucos. The resuls of hs aer are ore geeral ha he corresodg resuls already exsg leraure [4, 5]. Le X be a oey subse of. PRELIMINARIES R edowed wh he Eucldea or. Defo. A fuco f : X R s sad o be locally Lschz f for each bouded subse B of X, here exss a cosa l such ha for all x, y B. f ( x) f ( y) l x y, Defo. The drecoal dervave of a fuco f : X R a a o x B he dreco d R s defed as ( ) ( ) ( ; ) l f x + α d f x d = f x. α α Defo.3 ([, 7]) A fuco f : X R s sad o be uas-dffereable a a o x f f ossesses a drecoal dervave a x X for each dreco d R such ha f ( xd ; ) s covex wh resec o d. I s kow ha f f ( x), =,,..., are dffereable, he he fucos θ ( x) = f ( x) + ( x B x), =,,..., are uas-dffereable. Le Lx ( ) be he se of drecos,.e.
3 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 3 { θ } Lx ( ) = d R : ( xd ; ) <, =,,..., ad T ( x ) be he age coe o X a x,.e. X TX ( x ) = { d R : { dk} d, αk, x + αkdk X} Lea. [3] Le θ( x) = ( θ( x),..., θ ( x) ), where : X R θ, =,,..., are locally Lschz ad ossess drecoal dervaves a each o each dreco. If src zer of θ ( x) o X, he X Lx ( ) T ( x) = φ. x s a Reark. [3] Le δθ ( x ) be he sub-dffereal of fuco θ, =,,..., a x, he we have for each w δθ ( x ), =,,..., wd θ ( x ; d) for all d R. Fro lea., follows ha for all w δθ ( x ), =,,..., he syse wd <, =,,..., has o soluo T ( x ). X We shall eed he followg geeralzed Schwarz eualy he seuel. Lea. [] Le B be a syerc osve se-defe arx ad x, z R, he ( xbz ) ( xbx ) ( zbz ), where eualy holds f ad oly f Bx = λbz for soe λ. Evdely, f we have ( x Bz) ( x Bx). ( zbz ) =, Lea.3 [9] Le ϕ ( x) = ( xbx). The ϕ ( x) s covex ad w δϕ( x) f ad oly f w= Bz, z Bz, x Bz = ( x Bx). Mulobecve ozao robles are ecouered ay areas of hua acvy cludg egeerg ad aagee. For ay eresg alcaos ad develoe of ulobecve ozao, oe ay refer o [8]. I hs aer, we sudy he followg ulobecve ozao roble; (MOP) Mze ( θ( x),..., θ ( x))
4 4 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy subec o G ( x), =,,...,. Where θ ( x) = f ( x) + ( x B x), =,,..., G x g x x C x ( ) = ( ) + ( ), =,,...,. f : X R, =,,...,, g : X R, =,,... are wce dffereable; ad B, =,,..., ad C, =,,..., are osve se-defe syerc arces. The fucos θ ( x), =,,..., ad G ( x), =,,..., are uas-dffereable fucos. Thus (MOP) ay be referred as a uas-dffereable ulobecve ozao roble. Le S be he se of all feasble soluos of (MOP). Here zao eas fdg a src zer. Defo.4 A o θ ( x) θ( x ), </ x ha s here exss o x S such ha θ ( x) < θ( x ). S s sad o be src zer for (MOP) f for all x S To exlore he alcably of oaly ad dualy resuls several auhors [6,7,4,6,8 ad 9] have suded he above ye of ulobecve ozao robles by weakeg he covexy assuos. We ove a se furher hs dreco ad roduce he classes of geeralzed hgher order η -bovex ad relaed fucos as follows: Le ηψ, : X X R be vecor valued fucos, b: X X R + ad φ : R Rare real valued fucos. Defo.5 The fuco θ : X R s sad o be geeralzed η -bovex of order ( ) a x S wh resec o ags b, φ, η ad ψ f here exs a vecor ad a cosa k Rsuch ha for all x S bxx (, ) φθ [ ( x) θ( x) + r θ( x) r] η θ + θ + ψ ( xx, )[ ( x) ( x) r] k ( xx, ). r R Reark. If k >, he he fuco θ s called srogly geeralzed η - bovex of order. If k <, he he fuco θ s called weakly geeralzed η - bovex of order. If k = ad addo b =, φ = I (dey a), we oba he defo of η bovex fucos [4].
5 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 5 Reark.3 If r =, k =, we oba he defo of uvexy [5]. If b =, k =, = ad φ = I, he he defo of geeralzed hgher order η bovexy reduces o he defo of vexy []. We ow rese he followg obvous lcaos of he above defo. Defo.6 The fuco θ : X R s sad o be geeralzed η seudo bovex of order ( ) a r x R ad a cosa k R S wh resec o ags b, φ, η ad ψ f here exs a vecor such ha for all x S η θ + θ + ψ ( xx, )[ ( x) ( x) r] k ( xx, ) les bxx (, ) φθ [ ( x) θ( x) + r θ( x) r] or euvalely bxx (, ) φθ [ ( x) θ( x) + r θ( x) r] < les η ( xx, )[ θ( x) + θ( x) r] + k ψ( xx, ) < Defo.7 The fuco θ : X R s sad o be geeralzed η -srcly seudo bovex of order ( ) a x S wh resec o ags b, φ, η ad ψ f here exs a vecor r R ad a cosa k R such ha for all x S η θ + θ + ψ ( xx, )[ ( x) ( x) r] k ( xx, ) les bxx (, ) φθ [ ( x) θ( x) + r θ( x) r] >. Defo.8 The fuco θ : X R s sad o be geeralzed η - uas bovex of order ( ) a r x R ad a cosa k R S wh resec o ags b, φ, η ad ψ f here exs a vecor such ha for all x S bxx (, ) φθ [ ( x) θ( x) + r θ( x) r] les η ( xx, )[ θ( x) + θ( x) r] + k ψ( xx, ). 3. OPTIMALITY We ow derve he followg ecessary oaly codos for (MOP). Theore 3. If x s a src zer for (MOP) ad assue ha Abade cosra ualfcao a x, where y R, v R, =,,..., + λ R+ G I sasfes he I = { : G ( x ) = }. The, here exs, λ = ad z R, =,,... such ha =
6 6 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy λ f( x ) + λbz + y g ( x ) + ycv = = = = = (3.) yg x = = (3.) ( ),,,..., zbz, =,... (3.3) ( vcv), =,,..., (3.4) x Bz = ( x Bx ), =,..., (3.5) vcx = ( x Cx ), =,,..., (3.6) Proof Sce f, =,,..., are dffereable fucos, B, =,,..., are osve se-defe arces, we have fro [9] ha he fucos θ ( x) = f( x) + ( x Bx), =,,..., are uas-dffereable, hece locally Lschz ad have drecoal dervaves θ ( x; d) for all d R, =,,...,. Therefore θ, =,,..., sasfy he codos of Lea.. Fro Lea. ad Abade cosra ualfcao, follows ha he syse ρ d <, =,,..., wd, I, s cosse for all ρ δθ( x ), =,,..., ad w δ G( x ), I. Therefore by basc alerave heore [3], here exss λ, =,,..., o all zero ad y, I such ha: λρ + yw = (3.7) = I for all ( ρ,..., ρ ) = ρ δθ( x ) ad I, we ca rewre (3.7) as w δ G ( x ), I. Seg y = for all o λρ + yw = (3.8) = = yg( x) =, =,,..., (3.9) Bu δθ ( x ), =,,..., s he se
7 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 7 for soe { f x + Bz zbz x Bz = x Bx } z ( ) :, ( ), R. Slarly δ G ( x ) s he se { g x + Cv vcv vcx = x Cx I} ( ) :, ( ),, Hece fro (3.) ad (3.), we have (3.) (3.) λ f x λbz y g x ycv = = = = ( ) + + ( ) + = yg x ( ) =, =,,..., zbz, =,... ( vcv), =,,..., x Bz = ( x Bx ), =,..., vcx = ( x Cx ), =,,...,. 4. DUALITY We ow roose he followg secod order Mod-Wer ye dual for (MOP). (MD)Maxze ( f( u) + zbu r f( u) r,..., f u z B u r f u r subec o ( ) + ( ) ) λ( f() u + Bz + f()) u r + y( g () u + Cv + g ()) u r = = = (4.) y( g ( u) + vcu r g ( u) r) (4.) zbz, =,... (4.3) ( vcv), =,,..., (4.4) y, =,...,, λ, =,...,, λ = =
8 8 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy Theore 4. (Weak dualy) Le x be feasble for (MOP) ad ( u, λ, y, z, v, r) be feasble for (MD). Furher suose ha. ( f (.) + Bz), =,,..., be geeralzed η seudo bovex of order a u wh resec o b, φ, η ad ψ, where b > for all =,,...,.. y ( g () + C v ), =,,..., be geeralzed η uas bovex of order a u wh resec o b, φ, η ad ψ.. a φ ( a), =,..., ad a< φ ( a) <, =,..., v. λ k + k. = = The f ( x) + ( x Bx) < / f( u) + u Bz r f( u) r (4.5) Proof Le x be ay feasble soluo for (MOP) ad ( u, λ, y, z, v, r) be ay feasble soluo for (MD). The we have y ( g ( x) + ( x Cx) ) y( g ( u) + vcu r g ( u) r), =,..., Usg relao (4.4) ad Lea., we have y ( g ( x) + vcx) y( g ( u) + vcu r g ( u) r), =,...,, whch ca be rewre as y( g ( x) + vcx) y( g ( u) + vcu) + r yg ( u) r, =,,..., (4.6) Sce a φ ( a) ad b ( x, u), =,..., ; (4.6) yelds b x u y g x v C x y g u v C u r y g u r (, ) φ [ ( ( ) + ) ( ( ) + ) + ( ) )] O usg geeralzed η uas bovexy of order a u for y ( g () + C v ) wh resec o b, φ, η ad ψ, =,,...,, we have η x u y g u + y C v + y g u r + k x u =. (, )[ ( ) ( ) ] ψ(, ),,..., The above eualy yelds
9 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 9 η ( xu, )[ ( yg ( u) + ycv + yg ( ur ) )] ( k) ψ( xu, ) = = (4.7) O usg (4.), he eualy (4.7) yelds ( x, u)[ ( f( u) + Bz + f( u) r] ( k) ( x, u) = = (4.8) η λ ψ Corary o he resul of he heore, le f( x) + ( x Bx) < f( u) + u Bz r f( u) r, =,..., Usg lea., we have f( x) + x Bz < f( u) + u Bz r f( u) r, =,..., (4.9) Sce a< φ ( a) < ad b > for all =,...,, he euales (4.9) lead o b( x, u) φ [( f( x) + x Bz) f( u) u Bz + r f( u) r] <, =,.., Fro geeralzed η seudo bovexy of order for ( f () + Bz) a u wh resec o b, φ, η ad ψ, =,,...,, we have η x u f u B z f u r k x u (, )[ ( ) + + ( ) ] + ψ(, ) <, =,..., Sce λ, =,,..., ad = λ =, we oba ( xu, )[ ( f( u) + Bz + f( ur ) )] + ( k) ( xu, ) < = =. η λ λ ψ Usg hyohess (v), he above eualy yelds ( x, u)[ ( f( u) + Bz + f( u) r)] < ( k) ( x, u) = =, η λ ψ a coradco o (4.8). Hece f x x Bx f u u Bz r f u r ( ) + ( ) < / ( ) + ( ). Theore 4. (srog dualy) Le x be a src zer for (MOP) ad assue ha Abade cosra ualfcao holds a x. The, here exs λ R+, y R+, z R, v R such ha ( x, λ, y, z, v, r = ) s feasble for (MD) ad he corresodg values of (MOP) ad (MD) are eual. Furher, f he assuos of
10 3 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy weak dualy Theore 4. hold, he (MD). ( x,, y, z, v, r ) λ = s a src axzer for Proof Sce x s a src zer for (MOP) ad Abade cosra ualfcao s sasfed a x, he by Theore 3. here exs λ R+, y R+, z R, v R, such ha λ f x λ Bz y g x ycv = = = = y ( ( ) ( g x + x Cx ) ) =, =,..., ( ) + + ( ) + = z Bz, =,... ( ), =,,..., v C v x Bz = ( x Bx ), =,..., v C x = ( x C x ), =,,..., = y, λ, λ =. Hece ( x, λ, y, z, v, r = ) s feasble for (MD) ad he corresodg values of obecve fucos are eual. Weak dualy Theore 4. les ha ( x, λ, y, z, v, r = ) s a src axzer for (MD). Theore 4.3 (src coverse dualy) Le x ad ( u, λ, y, v, z, r ) be src exrea for (MOP) ad (MD) resecvely, such ha ( ( ) ( ) ) ( ( ) ( ) ) λ f x + x Bx = λ f u + u Bz r f u r = = (4.) Furher, suose ha. y( g () + Cv) be geeralzed η uas bovex of order wh resec o b, φ, η ad ψ, =,,..., a u.. λ ( f() + Bz ) be geeralzed η src seudo bovex of order = wh resec o b, φ, η ad ψ a u.. a φ ( a), =,..., ad φ ( a) > a >.
11 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 3 v. k+ k. = The x = u, ha s, u s a src zer for (MOP). Proof Suose ha x u. Sce x s feasble for (MOP) ad for =,...,, ( u,, y, v, z, r ) λ s feasble for (MD), we have y( g ( x ) + ( x Cx ) ) y( g ( u ) + v Cu r g ( u ) r ). Usg Lea., for =,...,, we have y( g ( x ) + v Cx ) y( g ( u ) + v Cu r g ( u ) r ) (4.) Sce b ( x, u ), euales (4.) alog wh hyohess () yelds b x u y g x v C x y g u v C u r y g u r (, ) φ [ ( ( ) + ) ( ( ) + ) + ( ) )] O usg geeralzed η uas bovexy of order a u for resec o b, φ, η ad ψ, =,,...,, we have y ( g () + C v ) wh η x u y g u y C v y g u r k x u (, )[ ( ) + + ( ) ] + ψ(, ), =,..., The above eualy yelds η ( x, u)[ ( yg ( u) + ycv + yg ( u) r)] ( k) ψ( x, u) = =. Usg he dual cosra (4.) he above eualy, we have ( x, u )[ ( f( u ) + Bz + f( u ) r ] ( k) ( x, u ) = = η λ ψ Usg hyohess (v), we have ( x, u )[ ( f( u ) + Bz + f( u ) r ] + k ( x, u ) = η λ ψ.
12 3 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy Now geeralzed η src seudo bovexy of order a u for he fuco λ ( f() + Bz ) wh resec o, = Sce b φ, η ad ψ les (, ) φ[ λ ( ( ) + ) λ ( ( ) + ) = = bx u f x x Bz f u u Bz + r ( f ( u )) r ] >. λ = bx (, u ) >, he above eualy alog wh hyohess () yelds λ + > λ + = = ( f ( x ) x B z ) ( f ( u ) u B z r f ( u ) r), whch o usg Lea. coradcs (4.). 5. A FRACTIONAL CASE We ow cosder he followg uas-dffereable ulobecve fracoal rograg roble (MOFP) whch he cooes of he obecve fucos are he raos of he fucos ha are he sus of dffereable ers ad suare roo ers of cera osve se-defe uadrac fors, whereas he cosrag fucos are he sae as hose for (MOP). f( x) ( x B ( ) ( ) x) f x x Bx (MOFP) Maxze,..., h( x) + ( x Dx) h( x) + ( x Dx) subec o G ( x), =,,...,, where G x g x x C x ( ) = ( ) + ( ), =,,...,. f : X R, h : X R, =,,..., ad g : X R, =,,... are wce dffereable; ad B, D, =,,..., ad C, =,,..., are osve se-defe syerc arces. Le S be he se of all feasble soluos of (MOFP). We also assue ha f( x) ( x Bx) ad fdg src zer. h ( x) + ( x D x) >, =,,...,. Here zao eas We rese he followg wo dualy odels for (MOFP): (MD) Mze ( σ,..., σ ) subec o = + λ [ f ( u) σ h ( u) B z σ D w f ( u) r σ h ( u) r]
13 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 33 y( g( u) Cv g( u) r) (5.) = + + = f( u) σh( u) u Bz σu Dw r ( f( u) σh( u)) r + + y( g ( u) vcu) r ( yg ( u)) r = =,,,..., zbz, wbw, =,... ( vcv), =,,..., = (5.) f( u) u Bz σ =, =,,..., h ( u) + u Dw (5.3) y, =,...,, λ, =,...,, λ = = (MD) Mze ( σ,..., σ ) subec o = + λ [ f ( u) σ h ( u) B z σ D w f ( u) r σ h ( u) r] y( g( u) Cv g( u) r) (5.4) = + + = f( u) σh( u) u Bz σu Dw r ( f( u) σh( u)) r, =,,..., y( g ( u) + vcu) r yg ( u) r (5.5) zbz, wbw, =,... ( vcv), =,,..., f( u) u Bz σ =, =,,..., h ( u) + u Dw y, =,...,, λ, =,...,, λ =. =
14 34 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy Dualy resuls bewee (MOFP) ad s corresodg wo duals ca be esablshed o he sae les as hose obaed he case of ulobecve ozao roble (MOP). 6. CONCLUSION I hs aer, we have suded a secod order Mod-Wer ye dual for a uasdffereable rograg roble wh suare roo ers he obecve as well as he cosrag fucos. For hs urose, we have roduced he oo of geeralzed hgher order η bovexy. We have also cosdered a fracoal case. The resuls ca easly be exeded o secod order Magasara ye dual. I would be eresg o exed he resuls for oher classes of ozao robles, vz. ax rograg roble ad ax fracoal rograg roble. Ackowledgee : The auhors would lke o hak Prof. Davder Bhaa (Red.) ad Dr. Paka Gua, Deare of Oeraoal Research, Uversy of Delh for her kee eres ad couous hel hroughou he rearao of hs arcle. REFERENCES [] Ahad, I., ad Husa, Z., Secod order (F, α, ρ, d) covexy ad dualy ulobecve Prograg, Ifor. Sc., 76 (6) [] Ahad, I., Husa, Z., ad Al-Hoda, S., Secod order dualy odffereable fracoal Prograg, Nolear Aal. Real World Al., () 3-. [3] Bazaraa, M.S., Sheral, H.D., ad shey, C.M., Nolear rograg: Theory ad Algorhs, Joh Wley ad Sos, New York, 993. [4] Becor, C. R., ad Chadra, S., Geeralzed bovexy ad hgher order dualy for fracoal Prograg, Osearch, 4 (987) [5] Becor, C. R., Suea, S. K., ad Gua, S., Uvex fucos ad uvex olear rograg, Proceedgs of he Adsrave Sceces Assocao of Caada, (99) 5-4. [6] Bhaa, D., A oe o dualy heore for olear rograg roble, Maagee Sc., 6 (97) [7] Chadra, S., Crave B. D., ad Mod, B., Geeralzed cocavy ad dualy wh a suare roo er, Ozao 6 (5) (985) [8] Chchuluu, A., ad Pardalos, P. M., A survey of ulobecve ozao, A. Oer. Res., 54 (7) 9-5. [9] Crave, B.D., ad Mod, B., Suffce Frz-Joh ozao codos for odffereable covex rograg, J. Aus. Mah. Soc., Seres B, 9 (976) [] Crave, B. D., O uasdffereable ozao, J. Aus. Mah. Soc., seres A, 4 (986) [] Eseberg, E., Suor of a covex fuco, Bull. Aer. Mah. Soc., 68 (96) [] Haso, M. A., O suffcecy of Kuh Tucker codos, J. Mah. Aal. Al., 8 (98) [3] Haso, M. A., Secod order vexy ad dualy aheacal rograg, Osearch, 3 (993) [4] Jayswal, A., Kuar, D., ad Kuar, R., Secod order dualy for odffereable ulobecve rograg roble volvg (F, α, ρ, d) V ye I fucos, O. Le., 4 () () -6.
15 R.R. Sahay, G. Bhaa / Oaly Ad Secod Order Dualy 35 [5] Magasara, O. L., Secod ad hgher order dualy olear rograg, J. Mah. Aal. Al., 5 (975) [6] Mod, B., Husa, I., ad Prasad, M.V.D., Dualy for a class of odffereable ulle obecve rograg robles, J. If. O. Sceces, 9 (3) (988) [7] Schecher, M., More o subgrade dualy, J. Mah. Aal. Al., 7 (979) 5-6. [8] Sha, S. M., A dualy heore for olear rograg, Maagee Sc., (966) [9] Zhag, J., ad Mod, B, Dualy for a odffereable rograg roble, Bull. Aus. Mah. Soc. 55 (997) 9-44.
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp
THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH
More informationMultiobjective Duality in Variational Problems with Higher Order Derivatives
Coucaos ad Newor 00 38-44 do:0.436/c.00.0 Publshed Ole May 00 (h://www.scrp.org/joural/c) Mulobjecve Dualy Varaoal Probles wh Hgher Order Dervaves Absrac qbal Husa Ruaa G. Maoo Deare of Maheacs Jayee sue
More informationAsymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse
P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc
More informationRandom Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai
Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed
More informationKey words: Fractional difference equation, oscillatory solutions,
OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationMULTIOBJECTIVE NONLINEAR FRACTIONAL PROGRAMMING PROBLEMS INVOLVING GENERALIZED d - TYPE-I n -SET FUNCTIONS
THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A OF THE ROMANIAN ACADEMY Volue 8, Nuber /27,.- MULTIOBJECTIVE NONLINEAR FRACTIONAL PROGRAMMING PROBLEM INVOLVING GENERALIZED d - TYPE-I -ET
More informationBrownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus
Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales
More informationA Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization
Aerca Joural of Appled Maheacs 6; 4(6): 36-33 hp://wwwscecepublshggroupco/j/aja do: 648/jaja6468 ISSN: 33-43 (Pr); ISSN: 33-6X (Ole) A Paraerc Kerel Fuco Yeldg he Bes Kow Ierao Boud of Ieror-Po Mehods
More informationThe algebraic immunity of a class of correlation immune H Boolean functions
Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales
More informationSome Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables
Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationDelay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems
Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays
More informationOptimal Control and Hamiltonian System
Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of
More informationVARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,
Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationComparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution
Joural of Mahemacs ad Sascs 6 (2): 1-14, 21 ISSN 1549-3644 21 Scece Publcaos Comarso of he Bayesa ad Maxmum Lkelhood Esmao for Webull Dsrbuo Al Omar Mohammed Ahmed, Hadeel Salm Al-Kuub ad Noor Akma Ibrahm
More informationClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations
Global Joural of Scece Froer Research: F Maheacs ad Decso Sceces Volue 8 Issue Verso. Year 8 Type: Double Bld Peer Revewed Ieraoal Research Joural Publsher: Global Jourals Ole ISSN: 49-466 & Pr ISSN: 975-5896
More informationMoments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables
Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More informationA Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition
SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs
More informationUnique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen
Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs
More informationINTERIOR POINT ALGORITHMS FOR NONLINEAR CONSTRAINED LEAST SQUARES PROBLEMS
4 h Ieraoal Coferece o Iverse Probles Egeerg Ro de Jaero, Brazl, INTERIOR POINT ALGORITHMS FOR NONLINEAR CONSTRAINED LEAST SQUARES PROBLEMS José Hersovs*, Verase Dubeu* *Mechacal Egeerg Progra, COPPE Federal
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationCyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles
Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of
More informationComplementary Tree Paired Domination in Graphs
IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X Volume 2, Issue 6 Ver II (Nov - Dec206), PP 26-3 wwwosrjouralsorg Complemeary Tree Pared Domao Graphs A Meeaksh, J Baskar Babujee 2
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationSolving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision
Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp
More informationInterval Regression Analysis with Reduced Support Vector Machine
Ieraoal DSI / Asa ad Pacfc DSI 007 Full Paper (July, 007) Ierval Regresso Aalyss wh Reduced Suppor Vecor Mache Cha-Hu Huag,), Ha-Yg ao ) ) Isue of Iforao Maagee, Naoal Chao Tug Uversy (leohkko@yahoo.co.w)
More informationSolution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs
Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS
More informationNUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationA Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *
Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *
More informationNumerical approximatons for solving partial differentıal equations with variable coefficients
Appled ad Copuaoal Maheacs ; () : 9- Publshed ole Februar (hp://www.scecepublshggroup.co/j/ac) do:.648/j.ac.. Nuercal approaos for solvg paral dffereıal equaos wh varable coeffces Ves TURUT Depare of Maheacs
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationDUALITY 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 informationA Comparison of AdomiansDecomposition Method and Picard Iterations Method in Solving Nonlinear Differential Equations
Global Joural of Scece Froer Research Mahemacs a Decso Sceces Volume Issue 7 Verso. Jue Te : Double Bl Peer Revewe Ieraoal Research Joural Publsher: Global Jourals Ic. (USA Ole ISSN: 49-466 & Pr ISSN:
More informationThe Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting
Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad
More informationThe MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p
Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf
More informationMixed Integral Equation of Contact Problem in Position and Time
Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs
More informationSome 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-Pareto Optimality for Nondifferentiable Multiobjective Programming via Penalty Function
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 198, 248261 1996 ARTICLE NO. 0080 -Pareto Otalty for Nodfferetable Multobectve Prograg va Pealty Fucto J. C. Lu Secto of Matheatcs, Natoal Uersty Prearatory
More informationUpper Bound For Matrix Operators On Some Sequence Spaces
Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah
More informationMarch 14, Title: Change of Measures for Frequency and Severity. Farrokh Guiahi, Ph.D., FCAS, ASA
March 4, 009 Tle: Chage of Measures for Frequecy ad Severy Farroh Guah, Ph.D., FCAS, ASA Assocae Professor Deare of IT/QM Zarb School of Busess Hofsra Uversy Hesead, Y 549 Eal: Farroh.Guah@hofsra.edu Phoe:
More 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 informationInternet Appendix to: Idea Sharing and the Performance of Mutual Funds
Coes Iere Appedx o: Idea harg ad he Perforace of Muual Fuds Jule Cujea IA. Proof of Lea A....................................... IA. Proof of Lea A.3...................................... IA.3 Proof of
More informationIMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS
Vol.7 No.4 (200) p73-78 Joural of Maageme Scece & Sascal Decso IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS TIANXIANG YAO AND ZAIWU GONG College of Ecoomcs &
More informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More informationDomination in Controlled and Observed Distributed Parameter Systems
Iellge Cool ad Auoao 3 4 7-6 h://dxdoorg/436/ca346 Publshed Ole May 3 (h://wwwscrorg/joural/ca) Doao Coolled ad Observed Dsbued Paraeer yses L Aff M Joud E M Magr A El Ja Deare of Maheacs ad Couer cece
More informationIntegral Form of Popoviciu Inequality for Convex Function
Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for
More informationInternational Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN
Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof
More informationChapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationSome probability inequalities for multivariate gamma and normal distributions. Abstract
-- Soe probably equales for ulvarae gaa ad oral dsrbuos Thoas oye Uversy of appled sceces Bge, Berlsrasse 9, D-554 Bge, Geray, e-al: hoas.roye@-ole.de Absrac The Gaussa correlao equaly for ulvarae zero-ea
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More informationFully Fuzzy Linear Systems Solving Using MOLP
World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,
More informationSensors and Regional Gradient Observability of Hyperbolic Systems
Iellge Corol ad Auoao 3 78-89 hp://dxdoorg/436/ca3 Publshed Ole February (hp://wwwscrporg/oural/ca) Sesors ad Regoal Grade Observably of Hyperbolc Syses Sar Behadd Soraya Reab El Hassae Zerr Maheacs Depare
More informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview
Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos
More informationGENERALIZED METHOD OF LIE-ALGEBRAIC DISCRETE APPROXIMATIONS FOR SOLVING CAUCHY PROBLEMS WITH EVOLUTION EQUATION
Joural of Appled Maemacs ad ompuaoal Mecacs 24 3(2 5-62 GENERALIZED METHOD OF LIE-ALGEBRAI DISRETE APPROXIMATIONS FOR SOLVING AUHY PROBLEMS WITH EVOLUTION EQUATION Arkad Kdybaluk Iva Frako Naoal Uversy
More informationBianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity
Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme
More informationChapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)
Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were
More informationAnalysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays
Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg
More informationCONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS
44 Asa Joural o Corol Vol 8 No 4 pp 44-43 December 6 -re Paper- CONTROLLAILITY OF A CLASS OF SINGULAR SYSTEMS Guagmg Xe ad Log Wag ASTRACT I hs paper several dere coceps o corollably are vesgaed or a class
More informationContinuous Indexed Variable Systems
Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh
More informationAvailable online Journal of Scientific and Engineering Research, 2014, 1(1): Research Article
Avalable ole wwwjsaercom Joural o Scec ad Egeerg Research, 0, ():0-9 Research Arcle ISSN: 39-630 CODEN(USA): JSERBR NEW INFORMATION INEUALITIES ON DIFFERENCE OF GENERALIZED DIVERGENCES AND ITS APPLICATION
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationIntegral Φ0-Stability of Impulsive Differential Equations
Ope Joural of Appled Sceces, 5, 5, 65-66 Publsed Ole Ocober 5 ScRes p://wwwscrporg/joural/ojapps p://ddoorg/46/ojapps5564 Iegral Φ-Sably of Impulsve Dffereal Equaos Aju Sood, Sajay K Srvasava Appled Sceces
More informationLinear Regression Linear Regression with Shrinkage
Lear Regresso Lear Regresso h Shrkage Iroduco Regresso meas predcg a couous (usuall scalar oupu from a vecor of couous pus (feaures x. Example: Predcg vehcle fuel effcec (mpg from 8 arbues: Lear Regresso
More informationStabilization of Networked Control Systems with Variable Delays and Saturating Inputs
Sablzao of Newored Corol Syses wh Varable Delays ad Saurag Ipus M. Mahod Kaleybar* ad R. Mahboob Esfaa* (C.A.) Absrac:I hs paper, less coservave codos for he syhess of sac saefeedbac coroller are roduced
More informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationAsymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures
Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue
More informationStrong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data*
8 The Ope ppled Maheacs Joural 008 8-3 Srog Covergece Raes of Wavele Esaors Separaerc Regresso Models wh Cesored Daa Hogchag Hu School of Maheacs ad Sascs Hube Noral Uversy Huagsh 43500 Cha bsrac: The
More informationAs evident from the full-sample-model, we continue to assume that individual errors are identically and
Maxmum Lkelhood smao Greee Ch.4; App. R scrp modsa, modsb If we feel safe makg assumpos o he sascal dsrbuo of he error erm, Maxmum Lkelhood smao (ML) s a aracve alerave o Leas Squares for lear regresso
More informationBILINEAR GARCH TIME SERIES MODELS
BILINEAR GARCH TIME SERIES MODELS Mahmoud Gabr, Mahmoud El-Hashash Dearme of Mahemacs, Faculy of Scece, Alexadra Uversy, Alexadra, Egy Dearme of Mahemacs ad Comuer Scece, Brdgewaer Sae Uversy, Brdgewaer,
More informationSUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi
Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE
More informationChapter 8. Simple Linear Regression
Chaper 8. Smple Lear Regresso Regresso aalyss: regresso aalyss s a sascal mehodology o esmae he relaoshp of a respose varable o a se of predcor varable. whe here s jus oe predcor varable, we wll use smple
More informationA note on Turán number Tk ( 1, kn, )
A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More information4. THE DENSITY MATRIX
4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o
More informationProbability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract
Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.
More informationReal-time Classification of Large Data Sets using Binary Knapsack
Real-me Classfcao of Large Daa Ses usg Bary Kapsack Reao Bru bru@ds.uroma. Uversy of Roma La Sapeza AIRO 004-35h ANNUAL CONFERENCE OF THE ITALIAN OPERATIONS RESEARCH Sepember 7-0, 004, Lecce, Ialy Oule
More informationFourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems
IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 29-765X. Volume, Issue 2 Ver. II (Mar. - Apr. 27), PP 4-5 www.osrjourals.org Fourh Order Ruge-Kua Mehod Based O Geomerc Mea for Hybrd Fuzzy
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More informationDepartment of Mathematics UNIVERSITY OF OSLO. FORMULAS FOR STK4040 (version 1, September 12th, 2011) A - Vectors and matrices
Deartet of Matheatcs UNIVERSITY OF OSLO FORMULAS FOR STK4040 (verso Seteber th 0) A - Vectors ad atrces A) For a x atrx A ad a x atrx B we have ( AB) BA A) For osgular square atrces A ad B we have ( )
More informationNumerical Methods for a Class of Hybrid. Weakly Singular Integro-Differential Equations.
Ale Mahemacs 7 8 956-966 h://www.scr.org/joural/am ISSN Ole: 5-7393 ISSN Pr: 5-7385 Numercal Mehos for a Class of Hybr Wealy Sgular Iegro-Dffereal Equaos Shhchug Chag Dearme of Face Chug Hua Uversy Hschu
More informationStabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin
Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationOPTIMALITY CONDITIONS FOR LOCALLY LIPSCHITZ GENERALIZED B-VEX SEMI-INFINITE PROGRAMMING
Mrcea cel Batra Naval Acadey Scetfc Bullet, Volue XIX 6 Issue he joural s dexed : PROQUES / DOAJ / Crossref / EBSCOhost / INDEX COPERNICUS / DRJI / OAJI / JOURNAL INDEX / IOR / SCIENCE LIBRARY INDEX /
More informationDepartment of Mathematics and Computer Science, University of Calabria, Cosenza, Italy
Advaces Pure Mahemacs, 5, 5, 48-5 Publshed Ole Jue 5 ScRes. h://www.scr.org/joural/am h://d.do.org/.436/am.5.5846 Aalyc heory of Fe Asymoc Easos he Real Doma. Par II-B: Soluos of Dffereal Ieuales ad Asymoc
More informationUnit 10. The Lie Algebra of Vector Fields
U 10. The Le Algebra of Vecor Felds ================================================================================================================================================================ -----------------------------------
More informationSTRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING
Joural of tatstcs: Advaces Theory ad Alcatos Volume 5, Number, 6, Pages 3- Avalable at htt://scetfcadvaces.co. DOI: htt://d.do.org/.864/jsata_7678 TRONG CONITENCY FOR IMPLE LINEAR EV MODEL WITH v/ -MIXING
More informationAlgorithms 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 informationRedundancy System Fault Sampling Under Imperfect Maintenance
A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce
More informationA Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis
Avalable Ole a h://rm.srbau.ac.r Vol.1 No.3 Auum 15 Joural of Ne Researches Mahemacs Scece ad Research Brach (IAU) A Recurre Neural Neork o Idefy Effce Decso Makg Us Daa Evelome Aalyss A. Ghomash a G.
More informationExistence and Uniqueness Theorems for Generalized Set Differential Equations
Ieraoal Joural of Corol Scece ad Egeerg, (): -6 DOI: 593/jCorol Exsece ad Uqueess Teorems for Geeralzed Se Dffereal Equaos Adrej Ploov,,*, Naala Srp Deparme of Opmal Corol & Ecoomc Cyberecs, Odessa Naoal
More information