Spherical Families of Polynomials: A Graphical Approach to Robust Stability Analysis
|
|
- Geoffrey Phelps
- 6 years ago
- Views:
Transcription
1 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 Sphercal Famle of Polyomal: A Graphcal Approach to Robut Stablty Aaly Radek Matušů Abtract Th paper teded to preet ot o commo ad freuetly ued approach to the defto of ucertaty boudg et for ytem wth parametrc ucertaty ad related tool for robut tablty aaly. More pecfcally, the work deal wth phercal famle of polyomal. The et of llutratve example demotrate a eay-to-ue graphcal method of robut tablty tetg baed o the combato of the value et cocept ad the zero excluo codto by mea of the Polyomal Toolbox for Matlab. Keyword Sphercal Ucertaty, Weghted Eucldea Norm, Robut Stablty Aaly, Value Set Cocept, Zero Excluo Codto. R I. INTRODUCTION OBUSTNESS of cotrol ytem repreet attractve reearch topc wth a coutle umber of real lfe applcato [] [5]. Parametrc ucertaty commoly ued tool for the decrpto of real plat a t allow ug relatvely mple ad atural mathematcal model for procee whch behavor ca be much more complcated. The tructure (.e. order) of the model wth parametrc ucertaty codered to be fxed, but t parameter ca le wth gve boud. Wth th cotrbuto, thee boud are gog to be aumed a ot o freuetly appled way. The typcal, motly ued ad aturally compreheble approach aume the boud the hape of a box. Here, the alteratve approach, whch ue the boud the hape of a phere (ellpod), gog to be tuded. The cetfc lterature cota much more work related to the clacal box ucertate tha to the phercal oe. However, ome bac formato, a well a poble exteo ad varou applcato, ca be foud e.g. [6] []. Th paper focued o polyomal wth parametrc ucertaty ad phercal ucertaty boudg et. More pecfcally t deal wth the decrpto of a phercal polyomal famly ad wth tool for aaly of t robut tablty. Specal atteto pad to very uveral graphcal tool baed o the combato of the value et cocept ad the The work wa upported by the Mtry of Educato, Youth ad Sport of the Czech Republc wth the Natoal Sutaablty Programme project No. LO33 (MSMT-7778/4). Th atace gratefully ackowledged. Radek Matušů wth the Cetre for Securty, Iformato ad Advaced Techologe (CEBIA Tech), Faculty of Appled Iformatc, Toma Bata Uverty Zlí, ám. T. G. Maaryka 5555, 76 Zlí, Czech Republc (emal: rmatuu@fa.utb.cz). zero excluo codto [6]. The decrbed dea are followed by the et of llutratve example upported by plot from the Polyomal Toolbox for Matlab [], []. The paper the exteded vero of the prevouly publhed coferece cotrbuto [], [3]. The paper orgazed a follow. I Secto, bac otato ad theoretcal backgroud of ytem wth parametrc ucertaty ad ucertaty boudg et are provded. The Secto 3 the focued o the decrpto of phercal polyomal famle. Next, tool for robut tablty aaly wth epecal empha o the value et cocept ad the zero excluo codto are how Secto 4. The followg exteve Secto 5 preet three llutratve example of practcal robut tablty vetgato for elected phercal polyomal famle. Ad fally, Secto 6 offer ome cocluo remark. II. PARAMETRIC UNCERTAINTY AND UNCERTAINTY BOUNDING SET Geerally, the ytem wth parametrc ucertaty ca be decrbed through a vector of real ucerta parameter (ofte called jut ucertaty). The cotuou-tme ucerta polyomal, whch a typcal object of reearcher or egeer teret, ca be wrtte the form: p(, ) = ρ ( ) () = where ρ are coeffcet fucto. The, o-called famly of polyomal combe together the tructure of ucerta polyomal gve by () wth the ucertaty boudg et Q. Therefore, the famly of polyomal ca be deoted a: { (, ): } P = p Q () The ucertaty boudg et Q uually gve advace, typcally by uer reuremet. It uppoed a a ball a approprate orm. The mot freuetly ued cae utlze L orm: = max (3) ISSN:
2 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 whch mea that a ball th orm a box. Practcally, the box defed by the compoet,.e. by the real terval whch ca the ucerta parameter le wth. Aother approach employ L (Eucldea) orm: = (4) = or more geerally the weghted Eucldea orm: T = W (5) k where R ad W a potve defte ymmetrc matrx (weghtg matrx) of ze k k. Such defto of Q mea that a ball the orm ca be referred a a phere, or more geerally a a ellpod. Uder aumpto of r ad k R, the ellpod ( expreed by mea of: T ( ) ( ) W r k R ) whch cetered at ca be (6) or euvaletly by: (7) r,w The ellpod ca be ealy vualzed two-dmeoal pace ( k = ) for: may egeerg problem, the real ucerta phycal parameter are depedet of each other ad thu Q hould be a box aturally. However, accordg to [6], the ellpod could be ueful ad jutfable uder mprece decrpto of the ucertaty boud,.e. f actual Q located betwee ome mmum ad maxmum ad a utable ellpod ca terpolate them. The choce hould repect alo avalable tool for olvg the pecfc problem. Bede, the mathematcal model obtaed o the ba of phycal law uually have Q the hape of a box, but the detfcato method motly lead to the ellpod [4]. III. SPHERICAL POLYNOMIAL FAMILY The famly of polyomal gve by () called phercal oe [6] f p (, ) ha a depedet ucertaty tructure (all coeffcet of the polyomal are depedet o each other) ad Q a ellpod. I fact, oe ca work wth two bac repreetato of phercal polyomal famle. The frt type aume that polyomal cetered at zero: p(, ) = (9) = r where W a potve defte ymmetrc matrx, the omal ad r mea the radu of ucertaty. I the ecod repreetato, Q codered to be cetered at zero: W w = w (8) p(, ) = p ( ) + () r = a t how Fg. [6]. + r w r w r w Fg. A ellpod defed by weghted Eucldea orm + r w where moreover p () = p (, ). A a example, uppoe a phercal polyomal famly: ( ) ( ) ( ) p(, ) = W = 3 whch ca be cetered o the vector: () = (.5,.5,.5) () The, the reultg phercal polyomal famly, euvalet to (), ca be wrtte a: A deco o what type of orm hould be ued for ucertaty boudg et Q deped o everal factor. I ISSN:
3 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 p(, ) = + + W = 3 (3) Neverthele, the very uveral techue baed o the value et cocept ad the zero excluo codto, whch decrbed [6], applcable alo to the phercal polyomal famle. The value et at each freuecy ω for a phercal polyomal famly () uppoed the form: IV. ROBUST STABILITY ANALYSIS Obvouly, the mot mportat feature of all cotrol crcut ther tablty. Uder codto of parametrc ucertaty, th term ca be expaded to robut tablty, whch mea that the whole famly of cloed-loop cotrol ytem mut rema table for all poble allowed perturbato of ytem parameter. From the practcal tetg pot of vew, we are tereted the robut tablty of the famly of cloed-loop charactertc polyomal the form (). Th famly robutly table f ad oly f p (, ) table for all Q,.e. all root of p (, ) mut be located the trct left half of the complex plae for all Q. There are may reult for robut tablty aaly of ytem wth parametrc ucertaty for Q a hape of a box. Ther choce deped maly o the complexty of the tructure of vetgated polyomal (or ytem). Doubtle, the mot famou tool the Khartoov theorem [5] whch utable for vetgato of the robut tablty of terval polyomal (wth depedet ucertaty tructure). Moreover, everal modfcato ad geeralzato of clacal Khartoov theorem are alo avalable the lterature [6], [6]. Amog other kow tool t belog e.g. the edge theorem, the thrty-two edge theorem, the xtee plat theorem, the mappg theorem, etc. [6]. Furthermore, t ext a graphcal method whch applcable for wde rage of robut tablty aaly problem (from the mplet to the very complcated ucertaty tructure, for varou tablty rego, etc.). Th techue combe the value et cocept wth the zero excluo codto [6], [7]. Robut tablty aaly for ytem affected by parametrc ucertaty for the cae of Q a hape of a ellpod alo relatvely well developed ad there are everal method avalable. The Soh-Barger-Dabke theorem [8], [6] repreet the aalogcal tool to Khartoov theorem for phercal polyomal famle. Furthermore, exteo are provded by the theorem of Barmh ad Tempo [9], [6] baed o the dea of the pectral et ad the theorem of Berack, Hwag ad Bhattacharyya [], [6] whch olve the robut tablty for cloed-loop ytem wth affe lear ucertaty tructure (e.g. a phercal plat famly feedback coecto wth a fxed cotroller). Bede, well-kow Typk-Polyak fucto [] ca be ued for robut tablty tetg or actually for computato of robute marg uder phercal ucertaty. I fact, the phercal vero of Typk-Polyak crtero related to the reult gve by Soh-Berger-Dabke theorem [6]. p(, ) = p ( ) + ( ) (, ) deg p( ) = p = p = a r = (4) gve [6], [] by a ellpe cetered at omal p ( jω ), wth the major ax ( the real drecto) havg the legth: (5) eve R = r w ω ad wth mor ax ( the magary drecto) havg the legth: (6) odd I = r w ω where W a weghtg matrx: (,,, ) W = dag w w w (7) Moreover, for the pecal degeerate cae of ω =, the value et jut the real terval: p( j, Q) = a r, a + r (8) The practcal vualzato of the ellpodal value et ca be coveetly performed by mea of the Polyomal Toolbox.5 [], [], [] by ug the pherplot commad. The, the zero excluo codto ca be appled for tetg robut tablty the followg way: The phercal polyomal famly () wth varat degree ad at leat oe table member (e.g. omal polyomal) robutly table f ad oly f the complex plae org excluded from the value et p( jω, Q) at all freuece ω,.e. the phercal polyomal famly robutly table f ad oly f: p( jω, Q) ω (9) Geerally, the detaled decrpto, proof ad example of the zero excluo prcple applcato ca be foud [6] or for tace [4], [7]. ISSN:
4 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 A. Example V. ILLUSTRATIVE EXAMPLES Frt, uppoe the phercal polyomal famly defed by the ucerta polyomal: (, ) ( 4) ( 3.5 3) (.5 ) (.5 ) (.5 ) p 4 3 = ad by the ucertaty boudg et:.5 W.e.: = dag ( 5,4,3,,) 3 4 () () () The polyomal () ca be ealy expreed the form (4) a: p = (3) (, ) The omal polyomal table ad o the famly fulfll the codto of at leat oe table member. The value et for the rage of freuece from to 3 wth tep. wa obtaed wth the atace of the Polyomal Toolbox.5 for Matlab ad t route pherplot [], []. They are plotted Fg.. Imagary Ax Real Ax Fg. The value et for the famly (), () The zoomed vero of the ame value et, depcted Fg. 3, provde better vew of the eghborhood of the complex plae org whch crtcal area for deco o robut ()tablty. Imagary Ax Real Ax Fg. 3 The value et for the famly (), () a detaled vew ear the pot [, j] A ca be oberved, the zero pot cluded the value et whch mea that the phercal polyomal famly (), () ot robutly table. I other word, ot all member of the precrbed famly are table. The example of robutly table cae ca be llutrated e.g. jut by ug the arrower ucertaty boudg et:. W = dag ( 5,4,3,,) (4) The full overvew of the value et for the ame rage of freuece a the prevou plot ca be ee Fg. 4 ad the zoomed vero Fg. 5. Obvouly, the famly ha a table member ad the value et do ot clude the org of the complex plae ad coeuetly the famly (), (4) robutly table. Imagary Ax Real Ax Fg. 4 The value et for the famly (), (4) ISSN:
5 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 Imagary Ax Real Ax Fg. 5 The value et for the famly (), (4) a detaled vew ear the pot [, j] B. Example Now, aume aother phercal famly of polyomal gve by the ucerta polyomal of teth order: (, ) ( ) ( 8 9 ) ( 65 8 ) ( 5 7) ( 68 6) ( 5 5) 4 3 ( 68 4) ( 5 3) ( 65 ) ( 8 ) ( ) 9 8 p = ad by the correpodg ucertaty boudg et: (5) = ( ) (6).3; W dag,3,,,3,,,4,3,, The omal polyomal table whch mea that the codto of at leat oe table member fulflled. The value et for the rage of freuece from to wth tep. are plotted Fg. 6. Sce the polyomal (5) of the teth order, the value et from Fg. 6 uccevely go through te uadrat. Four varouly zoomed vero of the full Fg. 6 are how Fg. 7-. Imagary Ax -5 - x Real Ax x 6 Fg. 7 The value et for the famly (5), (6) a lttle zoomed vew Imagary Ax x Real Ax - x 4 Fg. 8 The value et for the famly (5), (6) a moderately zoomed vew x 9 5 Imagary Ax Imagary Ax Real Ax x 9 Fg. 6 The value et for the famly (5), (6) Real Ax Fg. 9 The value et for the famly (5), (6) a more zoomed vew ISSN:
6 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 Imagary Ax Real Ax Fg. The value et for the famly (5), (6) a detaled vew ear the pot [, j] The et of Fg. 6- reveal that the zero pot excluded from the value et. Sce the famly ha a table member ad the value et do ot clude the org, the famly (5), (6) robutly table. C. Example 3 The lat example teded to demotrate the mportace of at leat oe table member precodto fulfllmet, becaue f t gored t ca lead to the wrog reult. Aume the phercal polyomal famly: (, ) ( 4) ( 3) ( ) ( ) ( ) 4 3 = p W = dag ( 5,4,3,,) (7) The correpodg value et for the rage of freuece from to 3 wth tep. are depcted Fg. wth cloer look ear the org Fg.. Imagary Ax Real Ax Fg. The value et for the famly (7) Imagary Ax Real Ax Fg. The value et for the famly (7) a detaled vew ear the pot [, j] A the complex plae org obvouly excluded from the value et, t could (wrogly) dcate the robut tablty of the famly. However, the famly doe ot have ay table member ad thu the zero excluo codto ot fulflled actually. I fact, all member of the famly are utable whch the reao why the tablty border ot croed at all ad why the zero pot ot cluded. VI. CONCLUSION The paper ha bee amed to a alteratve boudg of ucerta parameter ytem wth parametrc ucertaty,.e. the ma object of teret ha bee the phercal polyomal famly ad t robut tablty aaly. The bac theoretcal decrpto have bee accompaed by the et of mple llutratve example upported by the Polyomal Toolbox for Matlab. REFERENCES [] A. Derrar, A. Nacer, D. Ghouraf, Robut off-le PSS automated cotrol deg baed H - loop hapg optmzato, Iteratoal Joural of Crcut, Sytem ad Sgal Proceg, vol. 9, 5, pp [] R. Matušů, Robut tablzato of terval plat by mea of two feedback cotroller, Iteratoal Joural of Crcut, Sytem ad Sgal Proceg, vol. 9, 5, pp [3] R. Matušů, Robut Stablty Aaly of Dcrete-Tme Sytem wth Parametrc Ucertaty: A Graphcal Approach, Iteratoal Joural of Crcut, Sytem ad Sgal Proceg, vol. 8, 4, pp [4] S. A. E. M. Ardjou, M. Abd, A. G. Aaou, ad A. Nacer, A robut fuzzy ldg mode cotrol appled to the double fed ducto mache, Iteratoal Joural of Crcut, Sytem ad Sgal Proceg, vol. 5, o. 4,, pp [5] J. Ezze, F. Tedeco, H Approach Cotrol for Regulato of Actve Car Supeo, Iteratoal Joural of Mathematcal Model ad Method Appled Scece, vol. 3, o. 3, 9, pp [6] B. R. Barmh, New Tool for Robute of Lear Sytem, Macmlla, New York, USA, 994. [7] A. Te, A. Vco, F. Vllore, Robut Stablty of Sphercal Plat wth Utructured Ucertaty, Proceedg of the Amerca Cotrol Coferece, Seattle, Wahgto, USA, 995. ISSN:
7 INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING Volume, 6 [8] B. T. Polyak, P. S. Shcherbakov, Radom Sphercal Ucertaty Etmato ad Robute, Proceedg of the 39th IEEE Coferece o Deco ad Cotrol, Sydey, Autrala,. [9] J. Che, S.-I. Nculecu, P. Fu, Robut Stablty of Qua-Polyomal: Freuecy-Sweepg Codto ad Vertex Tet, IEEE Traacto o Automatc Cotrol, vol. 53, o. 5, 8, pp [] Z. Hurák, M. Šebek, New Tool for Sphercal Ucerta Sytem Polyomal Toolbox for Matlab, Proceedg of the Techcal Computg Prague, Prague, Czech Republc,. [] PolyX: The Polyomal Toolbox, [ole], Avalable from URL: [] R. Matušů, Famle of phercal polyomal: Decrpto ad robut tablty aaly, Proceedg of the 8th Iteratoal Coferece o Sytem, Sator, Greece, 4, pp [3] R. Matušů, R. Prokop, Robut Stablty Aaly for Famle of Sphercal Polyomal, Advace Itellget Sytem ad Computg (Vol. 348) Proceedg of the 4th Computer Scece Ole Coferece 5 (CSOC5), Vol : Itellget Sytem Cyberetc ad Automato Theory, Sprger Iteratoal Publhg Swtzerlad, 5, pp [4] M. Šebek, Robutí řízeí, PDF lde for coure Robut Cotrol, ČVUT Prague,. (I Czech). [5] V. L. Khartoov, Aymptotc tablty of a eulbrum poto of a famly of ytem of lear dfferetal euato, Dfferetal'ye Uraveya, vol. 4, 978, pp [6] S. P. Bhattacharyya, H. Chapellat, L. H. Keel, Robut cotrol: The parametrc approach, Pretce Hall, Eglewood Clff, New Jerey, USA, 995. [7] R. Matušů, R. Prokop, Graphcal aaly of robut tablty for ytem wth parametrc ucertaty: a overvew, Traacto of the Ittute of Meauremet ad Cotrol, vol. 33, o.,, pp [8] C. B. Soh, C. S. Berger, K. P. Dabke, O the tablty properte of polyomal wth perturbed coeffcet, IEEE Traacto o Automatc Cotrol, vol. 3, o., 985, pp [9] B. R. Barmh, R. Tempo, O the pectral et for a famly of polyomal, IEEE Traacto o Automatc Cotrol, vol. 36, o., 99, pp. -5. [] R. M. Berack, H. Hwag, S. P. Bhattacharyya, Robut tablty wth tructured real parameter perturbato, IEEE Traacto o Automatc Cotrol, vol. 3, o. 6, 987, pp [] Y. Z. Typk, B. T. Polyak, Freuecy doma crtera for lp-robut tablty of cotuou lear ytem, IEEE Traacto o Automatc Cotrol, vol. 36, o., 99, pp [] PolyX: The Polyomal Toolbox for Matlab Upgrade Iformato for Vero.5, [ole],, Avalable from URL: Radek Matušů wa bor Zlí, Czech Republc 978. Curretly, he a Reearcher at Faculty of Appled Iformatc of Toma Bata Uverty Zlí, Czech Republc. He graduated from Faculty of Techology of the ame uverty Automato ad Cotrol Egeerg ad he receved a Ph.D. Techcal Cyberetc from Faculty of Appled Iformatc 7. The ma feld of h profeoal teret clude robut cotrol, ucerta ytem, PID cotrol, fractoal order ytem, ad algebrac method cotrol deg. ISSN:
Simple Linear Regression Analysis
LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such
More informationInternational Journal of Pure and Applied Sciences and Technology
It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map
More informationLinear Approximating to Integer Addition
Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for
More informationFunctions 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 informationTrignometric Inequations and Fuzzy Information Theory
Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,
More informationT-DOF PID Controller Design using Characteristic Ratio Assignment Method for Quadruple Tank Process
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Electrcal ad Iformato Egeerg Vol:, No:, 7 T-DOF PID Cotroller Deg ug Charactertc Rato Agmet Method for Quadruple Tak Proce Tacha Sukr, U-tha
More informationHarmonic Mean Operators for Aggregating Linguistic Information
Fourth Iteratoal Coferece o Natural Computato Harmoc Mea Operator for Aggregatg Lgutc Iformato Zehu Xu College of Ecoomc ad Maagemet Southeat Uverty, Nag, Jagu 0096, Cha E-mal: xu_zehu@63.et Abtract Harmoc
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
More informationReaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4
CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.
More informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The
More informationL5 Polynomial / Spline Curves
L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a
More informationA Result of Convergence about Weighted Sum for Exchangeable Random Variable Sequence in the Errors-in-Variables Model
AMSE JOURNALS-AMSE IIETA publcato-17-sere: Advace A; Vol. 54; N ; pp 3-33 Submtted Mar. 31, 17; Reved Ju. 11, 17, Accepted Ju. 18, 17 A Reult of Covergece about Weghted Sum for Exchageable Radom Varable
More informationSome distances and sequences in a weighted graph
IOSR Joural of Mathematc (IOSR-JM) e-issn: 78-578 p-issn: 19 765X PP 7-15 wwworjouralorg Some dtace ad equece a weghted graph Jll K Mathew 1, Sul Mathew Departmet of Mathematc Federal Ittute of Scece ad
More informationA note on testing the covariance matrix for large dimension
A ote o tetg the covarace matrx for large dmeo Melae Brke Ruhr-Uvertät Bochum Fakultät für Mathematk 44780 Bochum, Germay e-mal: melae.brke@ruhr-u-bochum.de Holger ette Ruhr-Uvertät Bochum Fakultät für
More informationIRREDUCIBLE COVARIANT REPRESENTATIONS ASSOCIATED TO AN R-DISCRETE GROUPOID
UPB Sc Bull Sere A Vol 69 No 7 ISSN 3-77 IRREDUCIBLE COVARIANT REPRESENTATIONS ASSOCIATED TO AN R-DISCRETE GROUPOID Roxaa VIDICAN Ue perech covarate poztv defte ( T ) relatv la u grupod r-dcret G e poate
More informationCS473-Algorithms I. Lecture 12b. Dynamic Tables. CS 473 Lecture X 1
CS473-Algorthm I Lecture b Dyamc Table CS 473 Lecture X Why Dyamc Table? I ome applcato: We do't kow how may object wll be tored a table. We may allocate pace for a table But, later we may fd out that
More informationINEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS
Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek
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 informationTemperature Memory Effect in Amorphous Shape Memory Polymers. Kai Yu 1, H. Jerry Qi 1, *
Electroc Supplemetary Materal (ESI) for Soft Matter. h joural he Royal Socety of Chemtry 214 Supplemetary Materal for: emperature Memory Effect Amorphou Shape Memory Polymer Ka Yu 1, H. Jerry Q 1, * 1
More information13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations
Lecture 7 3. Parametrc ad No-Parametrc Ucertates, Radal Bass Fuctos ad Neural Network Approxmatos he parameter estmato algorthms descrbed prevous sectos were based o the assumpto that the system ucertates
More informationEuropean Journal of Mathematics and Computer Science Vol. 5 No. 2, 2018 ISSN
Europea Joural of Mathematc ad Computer Scece Vol. 5 o., 018 ISS 059-9951 APPLICATIO OF ASYMPTOTIC DISTRIBUTIO OF MA-HITEY STATISTIC TO DETERMIE THE DIFFERECE BETEE THE SYSTOLIC BLOOD PRESSURE OF ME AD
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 informationOn the energy of complement of regular line graphs
MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira
More informationRobust Stability Analysis of Discrete Uncertain Singularly Perturbed Time-Delay Systems
Robut Stablty Aaly o Dcrete Ucerta Sgularly Perturbe Tme-Delay Sytem Shg-Ta Pa a Chg-Fa Che Departmet o Computer Scece a Iormato Egeerg, Shu-Te Uverty, Kaohug, Tawa 8, R.O.C. Departmet o Electroc Egeerg,
More informationQuiz 1- Linear Regression Analysis (Based on Lectures 1-14)
Quz - Lear Regreo Aaly (Baed o Lecture -4). I the mple lear regreo model y = β + βx + ε, wth Tme: Hour Ε ε = Ε ε = ( ) 3, ( ), =,,...,, the ubaed drect leat quare etmator ˆβ ad ˆβ of β ad β repectvely,
More informationTWO NEW WEIGHTED MEASURES OF FUZZY ENTROPY AND THEIR PROPERTIES
merca. Jr. of Mathematcs ad Sceces Vol., No.,(Jauary 0) Copyrght Md Reader Publcatos www.jouralshub.com TWO NEW WEIGTED MESURES OF FUZZY ENTROPY ND TEIR PROPERTIES R.K.Tul Departmet of Mathematcs S.S.M.
More informationScheduling Jobs with a Common Due Date via Cooperative Game Theory
Amerca Joural of Operato Reearch, 203, 3, 439-443 http://dx.do.org/0.4236/ajor.203.35042 Publhed Ole eptember 203 (http://www.crp.org/joural/ajor) chedulg Job wth a Commo Due Date va Cooperatve Game Theory
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 informationNP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer
More informationAn Introduction to. Support Vector Machine
A Itroducto to Support Vector Mache Support Vector Mache (SVM) A classfer derved from statstcal learg theory by Vapk, et al. 99 SVM became famous whe, usg mages as put, t gave accuracy comparable to eural-etwork
More informationAn Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems
[ype text] [ype text] [ype text] ISSN : 0974-7435 Volume 0 Issue 6 Boechology 204 Ida Joural FULL PPER BIJ, 0(6, 204 [927-9275] Research o scheme evaluato method of automato mechatroc systems BSRC Che
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
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 informationAnalyzing Fuzzy System Reliability Using Vague Set Theory
Iteratoal Joural of Appled Scece ad Egeerg 2003., : 82-88 Aalyzg Fuzzy System Relablty sg Vague Set Theory Shy-Mg Che Departmet of Computer Scece ad Iformato Egeerg, Natoal Tawa versty of Scece ad Techology,
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 informationX X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then
Secto 5 Vectors of Radom Varables Whe workg wth several radom varables,,..., to arrage them vector form x, t s ofte coveet We ca the make use of matrx algebra to help us orgaze ad mapulate large umbers
More informationGroup Decision Making with Triangular Fuzzy Linguistic Variables
roup Deco Makg wth ragular Fuzzy Lgutc Varable Zehu Xu Departmet of Maagemet Scece ad Egeerg School of Ecoomc ad Maagemet ghua Uverty, Beg 0008, Cha Xu_zehu@6.et Abtract. I group deco makg wth lgutc formato,
More informationNP!= P. By Liu Ran. Table of Contents. The P vs. NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Strategy 3. Prelmary theorem 4. Proof 5. Expla 6. Cocluso. Itroduce The P vs. NP problem s a major usolved problem computer scece. Iformally, t asks whether
More informationOn a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging
Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt
More informationResearch Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings
Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte
More informationNEW RESULTS IN TRAJECTORY-BASED SMALL-GAIN WITH APPLICATION TO THE STABILIZATION OF A CHEMOSTAT
NEW RESULTS IN TRAJECTORY-BASED SMALL-GAIN WITH APPLICATION TO THE STABILIZATION OF A CHEMOSTAT Iao Karafyll * ad Zhog-Pg Jag ** * Dept. of Evrometal Eg., Techcal Uverty of Crete, 73, Chaa, Greece, emal:
More informationEconometric Methods. Review of Estimation
Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators
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 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 informationReliability and Cost Analysis of a Series System Model Using Fuzzy Parametric Geometric Programming
P P P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Iue 8, October 204. Relablty ad Cot Aaly of a Sere Syte Model Ug Fuzzy Paraetrc Geoetrc Prograg Medhat El-Dacee P 2 2 P, Fahee
More informationTermination Analysis of Programs with Periodic Orbit on the Boundary
Iteratoal Coferece o Itellget Sytem Reearch ad Mechatroc Egeerg (ISRME 5) Termato Aaly of Program wth Perodc Orbt o the Boudary Jgm Che, a, Y L*, b, Guag Zhu, c, Chuaca L, d, Fagja Huag 3, e School of
More informationGeneralization of the Dissimilarity Measure of Fuzzy Sets
Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra
More informationA Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10
Global Joural of Mathematcal Sceces: Theory ad Practcal. ISSN 974-3 Volume 9, Number 3 (7), pp. 43-4 Iteratoal Research Publcato House http://www.rphouse.com A Study o Geeralzed Geeralzed Quas (9) hyperbolc
More informationf f... f 1 n n (ii) Median : It is the value of the middle-most observation(s).
CHAPTER STATISTICS Pots to Remember :. Facts or fgures, collected wth a defte pupose, are called Data.. Statstcs s the area of study dealg wth the collecto, presetato, aalyss ad terpretato of data.. The
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 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 informationRELAXED LYAPUNOV CRITERIA FOR ROBUST GLOBAL STABILIZATION OF NONLINEAR SYSTEMS WITH APPLICATION TO CHEMOSTAT CONTROL
RELAED LYAPUNOV CRITERIA FOR ROBUST GLOBAL STABILIZATION OF NONLINEAR SYSTEMS WITH APPLICATION TO CHEMOSTAT CONTROL Iao Karafyll *, Cota Kravar ** ad Ncola Kalogerak * * Departmet of Evrometal Egeerg,
More information1. a. Houston Chronicle, Des Moines Register, Chicago Tribune, Washington Post
Homework Soluto. Houto Chrocle, De Moe Regter, Chcago Trbue, Wahgto Pot b. Captal Oe, Campbell Soup, Merrll Lych, Pultzer c. Bll Japer, Kay Reke, Hele Ford, Davd Meedez d..78,.44, 3.5, 3.04 5. No, the
More informationThe Necessarily Efficient Point Method for Interval Molp Problems
ISS 6-69 Eglad K Joural of Iformato ad omputg Scece Vol. o. 9 pp. - The ecessarly Effcet Pot Method for Iterval Molp Problems Hassa Mshmast eh ad Marzeh Alezhad + Mathematcs Departmet versty of Ssta ad
More informationNargozy T. Danayev*, Darkhan Zh. Akhmed-Zaki* THE USAGE OF MATHEMATICAL MLT MODEL FOR THE CALCULATION OF THERMAL FILTRATION
WIERTNICTWO NAFTA GAZ TOM 3/ 6 Nargozy T. Daayev*, Darka Z. Akmed-Zak* THE USAGE OF MATHEMATICAL MLT MODEL FOR THE CALCULATION OF THERMAL FILTRATION Durg te reearc we ued a well-kow matematcal MLT model
More informationTHE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 6, Number 1/2005, pp
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROANIAN ACADEY, Sere A, OF THE ROANIAN ACADEY Volume 6, Number /005,. 000-000 ON THE TRANSCENDENCE OF THE TRACE FUNCTION Vctor ALEXANDRU Faculty o athematc, Uverty
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 informationr y Simple Linear Regression How To Study Relation Between Two Quantitative Variables? Scatter Plot Pearson s Sample Correlation Correlation
Maatee Klled Correlato & Regreo How To Study Relato Betwee Two Quattatve Varable? Smple Lear Regreo 6.11 A Smple Regreo Problem 1 I there relato betwee umber of power boat the area ad umber of maatee klled?
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 informationSimple Linear Regression. How To Study Relation Between Two Quantitative Variables? Scatter Plot. Pearson s Sample Correlation.
Correlato & Regreo How To Study Relato Betwee Two Quattatve Varable? Smple Lear Regreo 6. A Smple Regreo Problem I there relato betwee umber of power boat the area ad umber of maatee klled? Year NPB( )
More informationResearch Article A Fuzzy Multi-attribute Decision Making Method for Sensory Evaluation of Tea Liquor
Advace Joural of Food Scece ad Techology 9(2: 87-9, 205 DOI: 0.9026/aft.9.99 ISSN: 202-868; e-issn: 202-876 205 Maxwell Scetfc Publcato Corp. Submtted: October 05, 20 Accepted: March 20, 205 Publhed: Augut
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 informationInvestigating Cellular Automata
Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte
More information13. Artificial Neural Networks for Function Approximation
Lecture 7 3. Artfcal eural etworks for Fucto Approxmato Motvato. A typcal cotrol desg process starts wth modelg, whch s bascally the process of costructg a mathematcal descrpto (such as a set of ODE-s)
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 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 informationF. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties
進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem
More informationA New Measure of Probabilistic Entropy. and its Properties
Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com
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 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 informationMathematical Model of Dengue Fever with and without awareness in Host Population
Iteratoal Joural of Advaced Egeerg Reearch ad Applcato ISSN: 454-377, October 015 Mathematcal Model of Degue Fever wth ad wthout awaree Hot Populato Gaga Ram Phajoo 1* & Dl Bahadur Gurug 1 Departmet of
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 informationMULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION BASED ON EXPERTS STATEMENTS. Gennadiy Lbov, Maxim Gerasimov
Iteratoal Boo Seres "Iformato Scece ad Computg" 97 MULTIIMNSIONAL HTROGNOUS VARIABL PRICTION BAS ON PRTS STATMNTS Geady Lbov Maxm Gerasmov Abstract: I the wors [ ] we proposed a approach of formg a cosesus
More information8 The independence problem
Noparam Stat 46/55 Jame Kwo 8 The depedece problem 8.. Example (Tua qualty) ## Hollader & Wolfe (973), p. 87f. ## Aemet of tua qualty. We compare the Huter L meaure of ## lghte to the average of coumer
More informationρ < 1 be five real numbers. The
Lecture o BST 63: Statstcal Theory I Ku Zhag, /0/006 Revew for the prevous lecture Deftos: covarace, correlato Examples: How to calculate covarace ad correlato Theorems: propertes of correlato ad covarace
More information( ) Thermal noise ktb (T is absolute temperature in kelvin, B is bandwidth, k is Boltzamann s constant) Shot noise
OISE Thermal oe ktb (T abolute temperature kelv, B badwdth, k Boltzama cotat) 3 k.38 0 joule / kelv ( joule /ecod watt) ( ) v ( freq) 4kTB Thermal oe refer to the ketc eergy of a body of partcle a a reult
More informationApplication of Least Squares Support Vector Machine Based on Fast Sparse Approximation in Radar Target Recognition
Applcato of Leat Square Support Vector Mache Baed o Fat Spare Approxmato Radar arget Recogto Dogbo Zhao, a, Hu L 2 School of Electroc Egeerg, X'a Aeroautcal Uverty, X a, 70077, Cha; 2School of Electroc
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 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 informationOn Fuzzy Arithmetic, Possibility Theory and Theory of Evidence
O Fuzzy rthmetc, Possblty Theory ad Theory of Evdece suco P. Cucala, Jose Vllar Isttute of Research Techology Uversdad Potfca Comllas C/ Sata Cruz de Marceado 6 8 Madrd. Spa bstract Ths paper explores
More informationCollapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder
Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,
More informationANOVA with Summary Statistics: A STATA Macro
ANOVA wth Summary Stattc: A STATA Macro Nadeem Shafque Butt Departmet of Socal ad Prevetve Pedatrc Kg Edward Medcal College, Lahore, Pata Shahd Kamal Ittute of Stattc, Uverty of the Puab Lahore, Pata Muhammad
More informationApplication of Legendre Bernstein basis transformations to degree elevation and degree reduction
Computer Aded Geometrc Desg 9 79 78 www.elsever.com/locate/cagd Applcato of Legedre Berste bass trasformatos to degree elevato ad degree reducto Byug-Gook Lee a Yubeom Park b Jaechl Yoo c a Dvso of Iteret
More informationHandout #4. Statistical Inference. Probability Theory. Data Generating Process (i.e., Probability distribution) Observed Data (i.e.
Hadout #4 Ttle: FAE Coure: Eco 368/01 Sprg/015 Itructor: Dr. I-Mg Chu Th hadout ummarze chapter 3~4 from the referece PE. Relevat readg (detaled oe) ca be foud chapter 6, 13, 14, 19, 3, ad 5 from MPS.
More informationA New Method for Decision Making Based on Soft Matrix Theory
Joural of Scetfc esearch & eports 3(5): 0-7, 04; rtcle o. JS.04.5.00 SCIENCEDOMIN teratoal www.scecedoma.org New Method for Decso Mag Based o Soft Matrx Theory Zhmg Zhag * College of Mathematcs ad Computer
More informationStrong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity
BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout
More informationPacking of graphs with small product of sizes
Joural of Combatoral Theory, Seres B 98 (008) 4 45 www.elsever.com/locate/jctb Note Packg of graphs wth small product of szes Alexadr V. Kostochka a,b,,gexyu c, a Departmet of Mathematcs, Uversty of Illos,
More informationDouble Dominating Energy of Some Graphs
Iter. J. Fuzzy Mathematcal Archve Vol. 4, No., 04, -7 ISSN: 30 34 (P), 30 350 (ole) Publshed o 5 March 04 www.researchmathsc.org Iteratoal Joural of V.Kaladev ad G.Sharmla Dev P.G & Research Departmet
More informationIt is Advantageous to Make a Syllabus as Precise as Possible: Decision-Theoretic Analysis
Joural of Iovatve Techology ad Educato, Vol. 4, 2017, o. 1, 1-5 HIKARI Ltd, www.m-hkar.com https://do.org/10.12988/jte.2017.61146 It s Advatageous to Make a Syllabus as Precse as Possble: Decso-Theoretc
More informationA Stability Test for Control Systems with Delays Based on the Nyquist Criterion
ITERATIOA JOURA OF ATHEATIA ODES AD ETHODS I APPIED SIEES A Stablty Tet for otrol Sytem wth Delay Baed o the yqut rtero bor Pekař, Roma Prokop, ad Radek atušů Abtract The am of th cotrbuto to reve ad exted
More informationOn Eccentricity Sum Eigenvalue and Eccentricity Sum Energy of a Graph
Aals of Pure ad Appled Mathematcs Vol. 3, No., 7, -3 ISSN: 79-87X (P, 79-888(ole Publshed o 3 March 7 www.researchmathsc.org DOI: http://dx.do.org/.7/apam.3a Aals of O Eccetrcty Sum Egealue ad Eccetrcty
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 informationThe TDT. (Transmission Disequilibrium Test) (Qualitative and quantitative traits) D M D 1 M 1 D 2 M 2 M 2D1 M 1
The TDT (Trasmsso Dsequlbrum Test) (Qualtatve ad quattatve trats) Our am s to test for lkage (ad maybe ad/or assocato) betwee a dsease locus D ad a marker locus M. We kow where (.e. o what chromosome,
More informationGeneralized Convex Functions on Fractal Sets and Two Related Inequalities
Geeralzed Covex Fuctos o Fractal Sets ad Two Related Iequaltes Huxa Mo, X Su ad Dogya Yu 3,,3School of Scece, Bejg Uversty of Posts ad Telecommucatos, Bejg,00876, Cha, Correspodece should be addressed
More informationStudy on Bayes Semiparametric Regression
Joural of Avace Apple Mathematc, Vol., No. 4, October 7 http://x.o.org/.66/jaam.7.4 97 Stuy o Baye Semparametrc Regreo Abulhue Saber AL-Mouel a Ameera Jaber Mohae Mathematc Departmet College of Eucato
More informationPoint Estimation: definition of estimators
Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.
More informationGenerating Multivariate Nonnormal Distribution Random Numbers Based on Copula Function
7659, Eglad, UK Joural of Iformato ad Computg Scece Vol. 2, No. 3, 2007, pp. 9-96 Geeratg Multvarate Noormal Dstrbuto Radom Numbers Based o Copula Fucto Xaopg Hu +, Jam He ad Hogsheg Ly School of Ecoomcs
More informationABOUT ONE APPROACH TO APPROXIMATION OF CONTINUOUS FUNCTION BY THREE-LAYERED NEURAL NETWORK
ABOUT ONE APPROACH TO APPROXIMATION OF CONTINUOUS FUNCTION BY THREE-LAYERED NEURAL NETWORK Ram Rzayev Cyberetc Isttute of the Natoal Scece Academy of Azerbaa Republc ramrza@yahoo.com Aygu Alasgarova Khazar
More informationECONOMETRIC THEORY. MODULE VIII Lecture - 26 Heteroskedasticity
ECONOMETRIC THEORY MODULE VIII Lecture - 6 Heteroskedastcty Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur . Breusch Paga test Ths test ca be appled whe the replcated data
More information