A METHOD TO REPRESENT THE SEMANTIC DESCRIPTION OF A WEB SERVICE BASED ON COMPLEXITY FUNCTIONS

Size: px
Start display at page:

Download "A METHOD TO REPRESENT THE SEMANTIC DESCRIPTION OF A WEB SERVICE BASED ON COMPLEXITY FUNCTIONS"

Transcription

1 UPB Sc Bull, Sere A, Vol 77, I, 5 ISSN 3-77 A METHOD TO REPRESENT THE SEMANTIC DESCRIPTION OF A WEB SERVICE BASED ON COMPLEXITY FUNCTIONS Andre-Hora MOGOS, Adna Magda FLOREA Semantc web ervce repreent an mportant and very actve reearch area n computer cence The emantc decrpton of a web ervce ha a crucal role when workng wth emantc web ervce In th paper we propoe a method for repreentng the emantc decrpton of a web ervce ung complexty functon The man reult of our paper a theorem that lnk the emantc decrpton, repreented a complexty functon, wth everal mportant aymptotc notaton Keyword: emantc decrpton of a web ervce, complexty functon, aymptotc notaton Introducton A pecfed n [], a web ervce a oftware ytem degned to upport nteroperable machne-to-machne nteracton over a network A web ervce a oftware ytem that run on a computer n a network (for example, n the Internet) and offer a ervce that can be acceed by another computer from the ame network The Semantc Web a machne-readable and machne-proceable web A pecfed n [], the Semantc Web not a eparate Web but an extenon of the current one, n whch nformaton gven well-defned meanng, better enablng computer and people to work n cooperaton The Semantc Web a web that allow machne (computer) to read, undertand and proce the nformaton; th made by addng machne-proceable emantc to the document Semantc web ervce are web ervce wth a formal emantc decrpton [3] Semantc web ervce repreent a technology that combne the web ervce and the Semantc Web The work on emantc web ervce very actve and a gnfcant number of reult were obtaned n the lat year In the area of emantc web ervce, the emantc decrpton (the emantc) of a web ervce ha a crucal role The man approache propoed n the lterature for the emantc of web ervce are the followng [4]: OWL-S [5], WSDL-S [6], and WSMO [7] Accordng to [8], ome newer approache are SAWSDL [9] and WSMO-Lte [] All thee approache repreent the emantc Lecturer, Computer Scence Department, Unverty POLITEHNICA of Bucharet, Romana, e-mal: andremogo@cpubro Profeor, Computer Scence Department, Unverty POLITEHNICA of Bucharet, Romana, e-mal: adnaflorea@cpubro

2 4 Andre-Hora Mogo, Adna Magda Florea decrpton of a web ervce by ung ontologe expreed n XML-compatble language Thu, thee approache repreent a emantc decrpton a a et of word In th paper we propoe a method of repreentng the emantc decrpton of a web ervce ung a pecal type of functon, called complexty functon Th way, each emantc decrpton wll be a complexty functon, n fact a equence of potve real number The mot mportant dfference between our approach and the man approache n the lterature that we ue real number ntead of word for repreentng emantc decrpton The man reult of our paper a theorem that lnk the emantc decrpton repreented by complexty functon wth the aymptotc notaton The paper organzed a follow Secton contan a bref dcuon about complexty functon and aymptotc notaton In Secton 3 we propoe a new approach wth repect to the repreentaton of the emantc decrpton of web ervce Secton 4 contan the man reult of the paper: we propoe and prove a theorem that lnk the emantc decrpton, repreented ung our approach, wth the aymptotc notaton In the end, Secton 5 preent the concluon of the paper Complexty functon and aymptotc notaton We denote by N the et of potve nteger and by R + the et of potve real number A complexty functon a functon N R + (ee, for example, [], []) Let be g : N R+ an arbtrary, fxed complexty functon We preent fve well known aymptotc notaton (ee, for example, [], [], [3], [4]): Θ ( { f : N R+ c, c R+, n N uch that () c f c, n } O( { f : N R+ c R+, n N f c, n } ( { f c : N f, n } c R Ω R+ +, n N o( { f : N R+ c R+, n N f < c, n } uch that uch that uch that ω( { f : N R+ c R+, n N uch that c < f, n} We alo preent other two aymptotc notaton (ee, []): () (3) (4) (5)

3 A method to repreent the emantc decrpton of a web ervce baed on complexty functon43 oθ ( O( \ ( o( Θ( ) (6) Θ ω( Ω( \ ( Θ( ω( ) (7) 3 Repreentng emantc decrpton ung complexty functon In th ecton we preent our approach wth repect to the repreentaton of the emantc decrpton of web ervce 3 Dctonary Conder a et of word W We make the followng aumpton: ) Each word from W ha a ngle meanng; ) From our context we can ealy obtan the anwer for the followng queton: a) Have two word the ame meanng? b) I a word more general than another one? Defnton The emantc equalty of two word w, w W, w w w and w have the ame meanng Theorem The bnary relaton on W an equvalence relaton Proof The proof follow from Defnton Theorem All the word wth the ame meanng from the et W form an equvalence cla Proof The proof follow from Defnton and Theorem Let be ( C ) NC the famly of equvalence clae determned by on W Theorem 3 The famly of equvalence clae ( C form a partton of W ) NC Proof The proof follow from Defnton, Theorem and Theorem Defnton Dctonary The dctonary aocated to W and D ( ) C NC Defnton 3 The meanng functon The meanng functon m aocated to the dctonary D : m : W {,,, NC}, m ( w), where w C (8) We ay that m (w) the meanng of the word w Theorem 4 Properte of the meanng functon a) The meanng functon m urectve b) If there ext {,,, NC} uch that card( C ) > then the meanng functon m not nectve c) If card( C ), {,,, NC} then the meanng functon m bectve Proof The proof follow from Defnton 3 3 An order relaton between the equvalence clae Defnton 4 The emantc nequalty of two word

4 44 Andre-Hora Mogo, Adna Magda Florea w, w W, w w w more general than w n term of meanng or w w Example If we conder the word car and vehcle, then we have the relaton: car vehcle and car vehcle Theorem 5 a) The bnary relaton on W a preorder relaton b) If there ext {,,, NC} uch that card( ) > then the bnary relaton on W not an order relaton c) If card( C ), {,,, NC} then the bnary relaton on W an order relaton Proof The proof follow from Defnton 4 Defnton 5 The repreentatve word of an equvalence cla For each equvalence cla C, {,,, NC} we chooe a word w C Th word wll be called the repreentatve word of cla C Defnton 6 The emantc equalty of two equvalence clae C, C D, C C c Theorem 6 The bnary relaton Proof The proof follow from Defnton 6 Remark Each equvalence cla determned by C c on D an equvalence relaton c on D ha only one member Defnton 7 The emantc nequalty of two equvalence clae C, C D, C C w w c Theorem 7 The bnary relaton c on D an order relaton Proof The proof follow from Defnton 7 Remark One can oberve that, f C, C D wth the properte C c C and then C c C 33 Repreentaton of Semantc Decrpton Conder the followng emantc decrpton of a web ervce: w w w l, where w, w,, w W l We want to expre th emantc decrpton a a complexty functon For th purpoe, we wll preent everal tep for tranformng the ntal emantc decrpton nto a complexty functon A a frt tep the emantc decrpton wll be repreented a follow:

5 A method to repreent the emantc decrpton of a web ervce baed on complexty functon45 :{,,, NC} {,}, f w { w, w,, } w uch that w C l n (9), otherwe A a econd tep, we extend the doman of the functon to N A new emantc decrpton obtaned: : N {,}, ( ( n mod NC) () where we defne mod a followng: n mod NC n mod NC, f n mod NC and n mod NC NC, f n mod NC Oberve that the functon may return the value and a complexty functon ha only potve real value Alo, we want that the reult of the functon to depend on n The new emantc decrpton the followng: Defnton 8 The emantc decrpton of a web ervce The emantc decrpton of a web ervce : n +, f ( : N R, ( + /( n + ), f ( () Example Conder the dctonary D Suppoe we have the followng emantc decrpton expreed n word: ell whte car Alo uppoe that ell C n, whte C n, and car C n The emantc decrpton n form () : 3 n +, f ( n mod NC) { n, n, n3} and /( n + ), otherwe Defnton 9 Two approxmaton of a emantc decrpton Let be Q ( n, p) and Q ( n, p) two predcate wth the followng form: Q ( n, p) n, p {,,, NC}, n p, uch that /( n+ ), ( p) p+ andcn c Cp () Q ( n, p) n, p {,,, NC}, n p, uch that n+, ( p) /( p+ ) andc C n c p Let be n, p {,,, NC} uch that Q ( n, p ) An approxmaton of type of the emantc decrpton wth repect to n and p the followng: ( n + ), f n n () () n, p : N R +, n, p /( n + ), f n p (3) (, otherwe Let be n, p {,,, NC} uch that Q ( n, p ) An approxmaton of type of the emantc decrpton wth repect to n and p the followng:

6 46 Andre-Hora Mogo, Adna Magda Florea /( n + ), f n n () () n, p : N R +, n, p n +, f n p (4) (, otherwe Example 3 a) Suppoe we have a emantc decrpton and two ndexe, {,,, NC}, Conder that ( ) /( + ) and ( ) + Alo conder that the cla C correpond to the meanng car and the cla C correpond to the meanng vehcle An approxmaton of type of repreent a weaker emantc decrpton (the one that ha car ntead of vehcle) b) Suppoe we have a emantc decrpton and two ndexe, {,,, NC}, Conder that ( ) + and ( ) /( + ) Alo conder that the cla C correpond to the meanng car and the cla C correpond to the meanng vehcle An approxmaton of type of repreent a tronger emantc decrpton (the one that ha vehcle ntead of car) 34 The et of all emantc decrpton Defnton The et of all emantc decrpton We denote by ASD the et of all emantc decrpton, both exact and approxmate Defnton The equalty of two emantc decrpton, Theorem 8 The bnary relaton on ASD an equvalence relaton Proof The proof follow from Defnton Defnton The nequalty of two emantc decrpton,, N Theorem 9 The bnary relaton on ASD an order relaton Proof The proof follow from Defnton Remark 4 Let be, ASD We make the followng conventon: a) We wrte < f <, N b) Another form of the relaton c) Another form of the relaton < > 4 Semantc decrpton and aymptotc notaton Th ecton contan the man reult of the paper: a theorem that lnk the emantc decrpton and the aymptotc notaton Theorem Semantc decrpton and aymptotc notaton a), Θ( )

7 A method to repreent the emantc decrpton of a web ervce baed on complexty functon47 b), O( ) c), Ω( ) d), < o( ) e), > ω( ), f), </ and oθ(, g), >/ and Θω( ) ) Proof a) " " If then ; from the reflexvty of Θ we have that Θ( ) " " Let be Θ( ) From Defnton 8 and Defnton 9 the value of the functon and for the argument n can be ( n + ), n+ or /(n+) Suppoe (for a contradcto that n N uch that Conder that ( n mod NC) k, where k {,,, NC} a) If /( n + ) and n + then, from Defnton 8 and Defnton 9, we have that ( p) /( p + ) and ( p) p +, p N uch that ( p mod NC) k From Θ( ) we have: c, c R+, n N uch that (5) c c, n Let be p N wth ( p mod NC) k, p n and c ( p + ) > From (5) we have c ( p + ) /( p + ) c ( p + ) It follow that, c ( p + ) ; th contradct the nequalty c ( p + ) > a) If /( n + ) and ( n + ) then the reult follow ung the ame dea ued for a) a3) If n + and ( n + ) then the reult follow ung the ame dea ued for a) a4) If n + and /( n + ), we ue the ymmetry of Θ : Θ( ) Θ( ) and then the ame dea ued for a) a5) If ( n + ) and /( n + ) then the reult follow ung the ame dea ued for a4) a6) If ( n + ) and n + then the reult follow ung the ame dea ued for a4)

8 48 Andre-Hora Mogo, Adna Magda Florea For all the x cae we found a contradcton Conequently,, N It follow that b) " " If then, N It follow that c R+, n N uch that (6) c, n Conequently, O( ) " " Let be O( ) From Defnton 8 and Defnton 9 the value of the functon and for the argument n can be ( n + ), n+ or /(n+) Suppoe (for a contradcto that n N uch that > Conder that ( n mod NC) k, where k {,,, NC} b) If n + and /( n + ) then, from Defnton 8 and Defnton 9, we have that ( p) p + and ( p) /( p + ), p N uch that ( p mod NC) k From O( ) we have: c R+, n N uch that (7) c, n Let be p N wth ( p mod NC) k, p n and ( p + ) > c From (7) we have p + c /( p + ) It follow that ( p + ) c ; th contradct the nequalty ( p + ) > c b) If ( n + ) and /( n + ) then the reult follow ung the ame dea ued for b) b3) If ( n + ) and n + then the reult follow ung the ame dea ued for b) Conequently,, N It follow that c) The proof follow from b) and the tranpoed ymmetry of O and Ω : O( ) Ω( ) d) " " If < then <, N From Defnton 8 and Defnton 9 the value of the functon and for the argument n can be ( n + ), n+ or /(n+) d) If /( n + ), N and n +, N then o( )

9 A method to repreent the emantc decrpton of a web ervce baed on complexty functon49 d) If /( n + ), N and ( ) ( ) n n +, N then o( ) d3) If n +, N and ( ) ( ) n n +, N then o( ) Conequently, o( ) " " Let be o( ) Snce o( ) O( ) and ung b) we have that ; conequently,, N Suppoe (for a contradcto that n N uch that Conder that ( n mod NC) k, where k {,,, NC} From Defnton 8 and Defnton 9, we have that ( p) ( p), p N uch that ( p mod NC) k From o( ) we have: c R+, n N uch that (8) < c, n Let be p N wth ( p mod NC) k, p n and let be c R+ Ung (8) we have ( p) < ( p) and th a contradcton Conequently, <, It follow that N < e) The proof follow from d) and the tranpoed ymmetry of o and ω : o( ) ω( ) f) Ung a), b), d) and (6) we have: O( ) oθ( ) o( ) </ (9) Θ( ) g) The proof follow from f) and the tranpoed ymmetry of o Θ and Θ ω : oθ( ) Θω( ) 5 Concluon In th paper we propoe a method for repreentng the emantc decrpton of a web ervce baed on complexty functon Whle the man approache n the lterature repreent a emantc decrpton a a et of word, we repreent a emantc decrpton a a complexty functon, and thu a a equence of real number The man reult of the paper cont of a theorem that lnk the emantc decrpton expreed a complexty functon wth everal mportant aymptotc

10 5 Andre-Hora Mogo, Adna Magda Florea notaton Th theorem how that any two emantc decrpton (repreented wth our approach) can be compared ung aymptotc notaton Our method mple and eay to ue Alo, a emantc decrpton repreented a a complexty functon can be ealy read and nterpreted by computer (oftware program), nce t cont of real number Conequently, our approach utable to be ued for varou reearch topc n the area of emantc web ervce Acknowledgement The work ha been funded by the Sectoral Operatonal Programme Human Reource Development 7-3 of the Mntry of European Fund through the Fnancal Agreement POSDRU/59/5/S/3397 R E F E R E N C E S [] Web Servce Archtecture W3C Workng Group Note, February 4, ee lat acceed June 4 [] T Berner-Lee, J Hendler and O Lala, The Semantc Web, n Scentfc Amercan, May [3] F Lécué, A Deltel, Makng the Dfference n Semantc Web Servce Compoton, n Proceedng of the nd Conference on Artfcal Intellgence (AAAI-7), -6 July 7, Vancouver, Brth Columba, Canada, vol, pp [4] J Cardoo, Approache to Developng Semantc Web Servce, n Internatonal Journal of Computer Scence, vol, no, 6, pp 8- [5] OWL-S: Semantc Markup for Web Servce, W3C Member Submon, November 4, ee lat acceed June 4 [6] Web Servce Semantc - WSDL-S, W3C Member Submon, November 5, ee lat acceed June 4 [7] Web Servce Modelng Ontology (WSMO), W3C Member Submon, June 5, ee lat acceed June 4 [8] M Lanthaler, M Grantzer and C Gutl, Semantc Web Servce: State of the Art, n Proceedng of IADIS Internatonal Conference on Internet Technologe & Socety, 9 November December, Perth, Autrala, pp 7-4 [9] Semantc Annotaton for WSDL and XML Schema, W3C Recommendaton, Augut 7, ee lat acceed June 4 [] WSMO-Lte: Lghtweght Semantc Decrpton for Servce on the Web, W3C Member Submon, Augut, ee lat acceed June 4 [] A H Mogo, A M Florea, A Method to Compare Two Complexty Functon Ung Complexty Clae, n UPB Scentfc Bulletn, Sere A: Appled Mathematc and Phyc, vol 7,,, pp [] C A Gumale, Introducere n Analza Algortmlor Teore Aplcate (Introducton to the Analy of Algorthm Theory and Applcato, Polrom, Bucharet, Romana, 4, pp 3-38 [3] T H Cormen, C E Leeron, R L Rvet and C Sten, Introducton to Algorthm, Second edton, MIT Pre, Cambrdge Maachuett, London England, USA,, pp 3-6, pp 4-5 [4] A H Mogo, Three Varant of the Mater Theorem, n IEEE Proceedng of CSCS 3, the 9th Internatonal Conference on Control Sytem and Computer Scence, 9-3 May 3, Bucharet, Romana, pp 6-66

Improvements on Waring s Problem

Improvements on Waring s Problem Improvement on Warng Problem L An-Png Bejng, PR Chna apl@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th paper, we wll gve ome mprovement for Warng problem Keyword: Warng Problem,

More information

Improvements on Waring s Problem

Improvements on Waring s Problem Imrovement on Warng Problem L An-Png Bejng 85, PR Chna al@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th aer, we wll gve ome mrovement for Warng roblem Keyword: Warng Problem, Hardy-Lttlewood

More information

Two Approaches to Proving. Goldbach s Conjecture

Two Approaches to Proving. Goldbach s Conjecture Two Approache to Provng Goldbach Conecture By Bernard Farley Adved By Charle Parry May 3 rd 5 A Bref Introducton to Goldbach Conecture In 74 Goldbach made h mot famou contrbuton n mathematc wth the conecture

More information

and decompose in cycles of length two

and decompose in cycles of length two Permutaton of Proceedng of the Natona Conference On Undergraduate Reearch (NCUR) 006 Domncan Unverty of Caforna San Rafae, Caforna Apr - 4, 007 that are gven by bnoma and decompoe n cyce of ength two Yeena

More information

Pythagorean triples. Leen Noordzij.

Pythagorean triples. Leen Noordzij. Pythagorean trple. Leen Noordz Dr.l.noordz@leennoordz.nl www.leennoordz.me Content A Roadmap for generatng Pythagorean Trple.... Pythagorean Trple.... 3 Dcuon Concluon.... 5 A Roadmap for generatng Pythagorean

More information

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne

More information

Additional File 1 - Detailed explanation of the expression level CPD

Additional File 1 - Detailed explanation of the expression level CPD Addtonal Fle - Detaled explanaton of the expreon level CPD A mentoned n the man text, the man CPD for the uterng model cont of two ndvdual factor: P( level gen P( level gen P ( level gen 2 (.).. CPD factor

More information

Specification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction

Specification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction ECONOMICS 35* -- NOTE ECON 35* -- NOTE Specfcaton -- Aumpton of the Smple Clacal Lnear Regreon Model (CLRM). Introducton CLRM tand for the Clacal Lnear Regreon Model. The CLRM alo known a the tandard lnear

More information

On the U-WPF Acts over Monoids

On the U-WPF Acts over Monoids Journal of cence, Ilamc Republc of Iran 8(4): 33-38 (007) Unverty of Tehran, IN 06-04 http://jcence.ut.ac.r On the U-WPF ct over Monod. Golchn * and H. Mohammadzadeh Department of Mathematc, Unverty of

More information

Small signal analysis

Small signal analysis Small gnal analy. ntroducton Let u conder the crcut hown n Fg., where the nonlnear retor decrbed by the equaton g v havng graphcal repreentaton hown n Fg.. ( G (t G v(t v Fg. Fg. a D current ource wherea

More information

Introduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015

Introduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015 Introducton to Interfacal Segregaton Xaozhe Zhang 10/02/2015 Interfacal egregaton Segregaton n materal refer to the enrchment of a materal conttuent at a free urface or an nternal nterface of a materal.

More information

APPROXIMATE FUZZY REASONING BASED ON INTERPOLATION IN THE VAGUE ENVIRONMENT OF THE FUZZY RULEBASE AS A PRACTICAL ALTERNATIVE OF THE CLASSICAL CRI

APPROXIMATE FUZZY REASONING BASED ON INTERPOLATION IN THE VAGUE ENVIRONMENT OF THE FUZZY RULEBASE AS A PRACTICAL ALTERNATIVE OF THE CLASSICAL CRI Kovác, Sz., Kóczy, L.T.: Approxmate Fuzzy Reaonng Baed on Interpolaton n the Vague Envronment of the Fuzzy Rulebae a a Practcal Alternatve of the Clacal CRI, Proceedng of the 7 th Internatonal Fuzzy Sytem

More information

ENTROPY BOUNDS USING ARITHMETIC- GEOMETRIC-HARMONIC MEAN INEQUALITY. Guru Nanak Dev University Amritsar, , INDIA

ENTROPY BOUNDS USING ARITHMETIC- GEOMETRIC-HARMONIC MEAN INEQUALITY. Guru Nanak Dev University Amritsar, , INDIA Internatonal Journal of Pure and Appled Mathematc Volume 89 No. 5 2013, 719-730 ISSN: 1311-8080 prnted veron; ISSN: 1314-3395 on-lne veron url: http://.jpam.eu do: http://dx.do.org/10.12732/jpam.v895.8

More information

a new crytoytem baed on the dea of Shmuley and roved t rovably ecure baed on ntractablty of factorng [Mc88] After that n 999 El Bham, Dan Boneh and Om

a new crytoytem baed on the dea of Shmuley and roved t rovably ecure baed on ntractablty of factorng [Mc88] After that n 999 El Bham, Dan Boneh and Om Weak Comote Dffe-Hellman not Weaker than Factorng Koohar Azman, azman@ceharfedu Javad Mohajer mohajer@harfedu Mahmoud Salmazadeh alma@harfedu Electronc Reearch Centre, Sharf Unverty of Technology Deartment

More information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

More information

Harmonic oscillator approximation

Harmonic oscillator approximation armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon

More information

Weak McCoy Ore Extensions

Weak McCoy Ore Extensions Internatonal Mathematcal Forum, Vol. 6, 2, no. 2, 75-86 Weak McCoy Ore Extenon R. Mohammad, A. Mouav and M. Zahr Department of Pure Mathematc, Faculty of Mathematcal Scence Tarbat Modare Unverty, P.O.

More information

The multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted

The multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted Appendx Proof of heorem he multvarate Gauan probablty denty functon for random vector X (X,,X ) px exp / / x x mean and varance equal to the th dagonal term of, denoted he margnal dtrbuton of X Gauan wth

More information

A Result on a Cyclic Polynomials

A Result on a Cyclic Polynomials Gen. Math. Note, Vol. 6, No., Feruary 05, pp. 59-65 ISSN 9-78 Copyrght ICSRS Pulcaton, 05.-cr.org Avalale free onlne at http:.geman.n A Reult on a Cyclc Polynomal S.A. Wahd Department of Mathematc & Stattc

More information

Scattering of two identical particles in the center-of. of-mass frame. (b)

Scattering of two identical particles in the center-of. of-mass frame. (b) Lecture # November 5 Scatterng of two dentcal partcle Relatvtc Quantum Mechanc: The Klen-Gordon equaton Interpretaton of the Klen-Gordon equaton The Drac equaton Drac repreentaton for the matrce α and

More information

Separation Axioms of Fuzzy Bitopological Spaces

Separation Axioms of Fuzzy Bitopological Spaces IJCSNS Internatonal Journal of Computer Scence and Network Securty VOL3 No October 3 Separaton Axom of Fuzzy Btopologcal Space Hong Wang College of Scence Southwet Unverty of Scence and Technology Manyang

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Confidence intervals for the difference and the ratio of Lognormal means with bounded parameters

Confidence intervals for the difference and the ratio of Lognormal means with bounded parameters Songklanakarn J. Sc. Technol. 37 () 3-40 Mar.-Apr. 05 http://www.jt.pu.ac.th Orgnal Artcle Confdence nterval for the dfference and the rato of Lognormal mean wth bounded parameter Sa-aat Nwtpong* Department

More information

Distributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition

Distributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition Dtrbted Control for the Parallel DC Lnked Modlar Shnt Actve Power Flter nder Dtorted Utlty Voltage Condton Reearch Stdent: Adl Salman Spervor: Dr. Malabka Ba School of Electrcal and Electronc Engneerng

More information

Team. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference

Team. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference Team Stattc and Art: Samplng, Repone Error, Mxed Model, Mng Data, and nference Ed Stanek Unverty of Maachuett- Amhert, USA 9/5/8 9/5/8 Outlne. Example: Doe-repone Model n Toxcology. ow to Predct Realzed

More information

Variable Structure Control ~ Basics

Variable Structure Control ~ Basics Varable Structure Control ~ Bac Harry G. Kwatny Department of Mechancal Engneerng & Mechanc Drexel Unverty Outlne A prelmnary example VS ytem, ldng mode, reachng Bac of dcontnuou ytem Example: underea

More information

MULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors

MULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors MULTIPLE REGRESSION ANALYSIS For the Cae of Two Regreor In the followng note, leat-quare etmaton developed for multple regreon problem wth two eplanator varable, here called regreor (uch a n the Fat Food

More information

Chapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters

Chapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters Chapter 6 The Effect of the GPS Sytematc Error on Deformaton Parameter 6.. General Beutler et al., (988) dd the frt comprehenve tudy on the GPS ytematc error. Baed on a geometrc approach and aumng a unform

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

Predictors Using Partially Conditional 2 Stage Response Error Ed Stanek

Predictors Using Partially Conditional 2 Stage Response Error Ed Stanek Predctor ng Partally Condtonal Stage Repone Error Ed Stane TRODCTO We explore the predctor that wll relt n a mple random ample wth repone error when a dfferent model potlated The model we decrbe here cloely

More information

Root Locus Techniques

Root Locus Techniques Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,

More information

Binomial transforms of the modified k-fibonacci-like sequence

Binomial transforms of the modified k-fibonacci-like sequence Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

Extended Prigogine Theorem: Method for Universal Characterization of Complex System Evolution

Extended Prigogine Theorem: Method for Universal Characterization of Complex System Evolution Extended Prgogne Theorem: Method for Unveral Characterzaton of Complex Sytem Evoluton Sergey amenhchkov* Mocow State Unverty of M.V. Lomonoov, Phycal department, Rua, Mocow, Lennke Gory, 1/, 119991 Publhed

More information

Information Acquisition in Global Games of Regime Change (Online Appendix)

Information Acquisition in Global Games of Regime Change (Online Appendix) Informaton Acquton n Global Game of Regme Change (Onlne Appendx) Mchal Szkup and Iabel Trevno Augut 4, 05 Introducton Th appendx contan the proof of all the ntermedate reult that have been omtted from

More information

Discrete Simultaneous Perturbation Stochastic Approximation on Loss Function with Noisy Measurements

Discrete Simultaneous Perturbation Stochastic Approximation on Loss Function with Noisy Measurements 0 Amercan Control Conference on O'Farrell Street San Francco CA USA June 9 - July 0 0 Dcrete Smultaneou Perturbaton Stochatc Approxmaton on Lo Functon wth Noy Meaurement Q Wang and Jame C Spall Abtract

More information

Estimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information

Estimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information Internatonal Journal of Stattc and Analy. ISSN 2248-9959 Volume 6, Number 1 (2016), pp. 9-16 Reearch Inda Publcaton http://www.rpublcaton.com Etmaton of Fnte Populaton Total under PPS Samplng n Preence

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

On the SO 2 Problem in Thermal Power Plants. 2.Two-steps chemical absorption modeling

On the SO 2 Problem in Thermal Power Plants. 2.Two-steps chemical absorption modeling Internatonal Journal of Engneerng Reearch ISSN:39-689)(onlne),347-53(prnt) Volume No4, Iue No, pp : 557-56 Oct 5 On the SO Problem n Thermal Power Plant Two-tep chemcal aborpton modelng hr Boyadjev, P

More information

A Study of Quantum Strategies for Newcomb s Paradox

A Study of Quantum Strategies for Newcomb s Paradox Bune, 00, : 4-50 do:0.436/b.00.004 Publhed Onlne March 00 (http://www.scrp.org/journal/b A Study of Quantum Stratege for ewcomb Paradox Taah Mhara Department of Informaton Scence and Art, Toyo Unverty,

More information

Computer Control Systems

Computer Control Systems Computer Control ytem In th chapter we preent the element and the bac concept of computercontrolled ytem. The dcretaton and choce of amplng frequency wll be frt examned, followed by a tudy of dcrete-tme

More information

THE RING AND ALGEBRA OF INTUITIONISTIC SETS

THE RING AND ALGEBRA OF INTUITIONISTIC SETS Hacettepe Journal of Mathematcs and Statstcs Volume 401 2011, 21 26 THE RING AND ALGEBRA OF INTUITIONISTIC SETS Alattn Ural Receved 01:08 :2009 : Accepted 19 :03 :2010 Abstract The am of ths study s to

More information

728. Mechanical and electrical elements in reduction of vibrations

728. Mechanical and electrical elements in reduction of vibrations 78. Mechancal and electrcal element n reducton of vbraton Katarzyna BIAŁAS The Slean Unverty of Technology, Faculty of Mechancal Engneerng Inttute of Engneerng Procee Automaton and Integrated Manufacturng

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Physics 111. CQ1: springs. con t. Aristocrat at a fixed angle. Wednesday, 8-9 pm in NSC 118/119 Sunday, 6:30-8 pm in CCLIR 468.

Physics 111. CQ1: springs. con t. Aristocrat at a fixed angle. Wednesday, 8-9 pm in NSC 118/119 Sunday, 6:30-8 pm in CCLIR 468. c Announcement day, ober 8, 004 Ch 8: Ch 10: Work done by orce at an angle Power Rotatonal Knematc angular dplacement angular velocty angular acceleraton Wedneday, 8-9 pm n NSC 118/119 Sunday, 6:30-8 pm

More information

Lecture 4: Universal Hash Functions/Streaming Cont d

Lecture 4: Universal Hash Functions/Streaming Cont d CSE 5: Desgn and Analyss of Algorthms I Sprng 06 Lecture 4: Unversal Hash Functons/Streamng Cont d Lecturer: Shayan Oves Gharan Aprl 6th Scrbe: Jacob Schreber Dsclamer: These notes have not been subjected

More information

A New Virtual Indexing Method for Measuring Host Connection Degrees

A New Virtual Indexing Method for Measuring Host Connection Degrees A New Vrtual Indexng Method for Meaurng ot Connecton Degree Pnghu Wang, Xaohong Guan,, Webo Gong 3, and Don Towley 4 SKLMS Lab and MOE KLINNS Lab, X an Jaotong Unverty, X an, Chna Department of Automaton

More information

Communication on the Paper A Reference-Dependent Regret Model for. Deterministic Tradeoff Studies

Communication on the Paper A Reference-Dependent Regret Model for. Deterministic Tradeoff Studies Councaton on the Paper A Reference-Dependent Regret Model for Deterntc Tradeoff tude Xaotng Wang, Evangelo Trantaphyllou 2,, and Edouard Kuawk 3 Progra of Engneerng cence College of Engneerng Louana tate

More information

arxiv: v1 [math.nt] 12 Sep 2018

arxiv: v1 [math.nt] 12 Sep 2018 ON p-adic VALUATIONS OF COLORED p-ary PARTITIONS arxv:180904628v1 [mathnt] 12 Sep 2018 MACIEJ ULAS AND B LAŻEJ ŻMIJA Abstract Letm N 2 andforgven k N + consderthesequence (A m,k (n n N defned by the power

More information

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS The 3 rd Internatonal Conference on Mathematcs and Statstcs (ICoMS-3) Insttut Pertanan Bogor, Indonesa, 5-6 August 28 MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS 1 Deky Adzkya and 2 Subono

More information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

Lecture 4: Constant Time SVD Approximation

Lecture 4: Constant Time SVD Approximation Spectral Algorthms and Representatons eb. 17, Mar. 3 and 8, 005 Lecture 4: Constant Tme SVD Approxmaton Lecturer: Santosh Vempala Scrbe: Jangzhuo Chen Ths topc conssts of three lectures 0/17, 03/03, 03/08),

More information

MODERN systems theory has its roots in electrical. Why RLC realizations of certain impedances need many more energy storage elements than expected

MODERN systems theory has its roots in electrical. Why RLC realizations of certain impedances need many more energy storage elements than expected Why RLC realzaton of certan mpedance need many more energy torage element than expected Tmothy H. Hughe arxv:6.0658v [c.sy] Jan 08 btract It a gnfcant and longtandng puzzle that the retor, nductor, capactor

More information

Wiener Index Of A Graph And Chemical Applications

Wiener Index Of A Graph And Chemical Applications Internatonal Journal of hemtech Reearch ODE( USA): IJRGG ISS : 0974-490 Vol.5, o.4, pp 1847-1853, Aprl-June 013 Wener Index Of A Graph And hemcal Applcaton A.Vayabarath 1 *, G.S.G..Ananeyulu 1 Reearch

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction ECOOMICS 35* -- OTE 4 ECO 35* -- OTE 4 Stattcal Properte of the OLS Coeffcent Etmator Introducton We derved n ote the OLS (Ordnary Leat Square etmator ˆβ j (j, of the regreon coeffcent βj (j, n the mple

More information

A Weighted UTASTAR Method for the Multiple Criteria Decision Making with Interval Numbers

A Weighted UTASTAR Method for the Multiple Criteria Decision Making with Interval Numbers 3rd Internatonal Conference on Management Scence and Management Innovaton MSMI 2016) A Weghted UTASTAR Method for the Multple Crtera Decon Makng wth Interval Number Wen-Tao Xong Jng Cheng School of Mathematc

More information

Math Review. CptS 223 Advanced Data Structures. Larry Holder School of Electrical Engineering and Computer Science Washington State University

Math Review. CptS 223 Advanced Data Structures. Larry Holder School of Electrical Engineering and Computer Science Washington State University Math Revew CptS 223 dvanced Data Structures Larry Holder School of Electrcal Engneerng and Computer Scence Washngton State Unversty 1 Why do we need math n a data structures course? nalyzng data structures

More information

Two-Layered Model of Blood Flow through Composite Stenosed Artery

Two-Layered Model of Blood Flow through Composite Stenosed Artery Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 4, Iue (December 9), pp. 343 354 (Prevouly, Vol. 4, No.) Applcaton Appled Mathematc: An Internatonal Journal (AAM) Two-ayered Model

More information

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,

More information

Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm

Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm Start Pont and Trajectory Analy for the Mnmal Tme Sytem Degn Algorthm ALEXANDER ZEMLIAK, PEDRO MIRANDA Department of Phyc and Mathematc Puebla Autonomou Unverty Av San Claudo /n, Puebla, 757 MEXICO Abtract:

More information

Week 2. This week, we covered operations on sets and cardinality.

Week 2. This week, we covered operations on sets and cardinality. Week 2 Ths week, we covered operatons on sets and cardnalty. Defnton 0.1 (Correspondence). A correspondence between two sets A and B s a set S contaned n A B = {(a, b) a A, b B}. A correspondence from

More information

MULTISTART OPTIMIZATION WITH A TRAINABLE DECISION MAKER FOR AVOIDING HIGH-VALUED LOCAL MINIMA

MULTISTART OPTIMIZATION WITH A TRAINABLE DECISION MAKER FOR AVOIDING HIGH-VALUED LOCAL MINIMA 3 rd Internatonal Conference on Experment/Proce/Sytem Modelng/Smulaton & Optmzaton 3 rd IC-EpMO Athen, 8- July, 2009 IC-EpMO MULTISTART OPTIMIZATION WITH A TRAINABLE DECISION MAKER FOR AVOIDING HIGH-VALUED

More information

Evaluating the Suitability of an Enterprise Resource Planning System

Evaluating the Suitability of an Enterprise Resource Planning System Evaluatng the Sutablty of an Enterpre Reource Plannng Sytem Francco Herrera, Enrque Herrera-Vedma Departamento de Cenca de la Computacón e I. A Ecuela Técnca Superor de Ingenería Informátca Unverdad de

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

Vertex Graceful Labeling-Some Path Related Graphs

Vertex Graceful Labeling-Some Path Related Graphs Internatonal J.Math. Combn. Vol.3013), 44-49 Vertex Graceful Labelng-Some Path Related Graphs P.Selvaraju 1, P.Balaganesan and J.Renuka 3 1 Department of Mathematcs, Vel Tech Engneerng College, Avad, Chenna-

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

A Method for Filling up the Missed Data in Information Table

A Method for Filling up the Missed Data in Information Table A Method for Fllng up the Mssed Data Gao Xuedong, E Xu, L Teke & Zhang Qun A Method for Fllng up the Mssed Data n Informaton Table Gao Xuedong School of Management, nversty of Scence and Technology Beng,

More information

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced, FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

The Myerson value in terms of the link agent form: a technical note

The Myerson value in terms of the link agent form: a technical note The Myerson value n terms of the lnk agent form: a techncal note André Casajus (September 2008, ths verson: October 1, 2008, 18:16) Abstract We represent the Myerson (1977) value n terms of the value ntroduced

More information

Strong Efficient Domination in Graphs

Strong Efficient Domination in Graphs P P P IJISET - Internatonal Journal of Innovatve Scence, Engneerng & Technology, Vol Iue 4, June 04 wwwjetcom Strong Effcent Domnaton n Graph ISSN 348-7968 3 NMeenaP P, ASubramananP P, VSwamnathanP PDepartment

More information

Distributed Adaptive Fault-Tolerant Control of Nonlinear Uncertain Second-order Multi-agent Systems

Distributed Adaptive Fault-Tolerant Control of Nonlinear Uncertain Second-order Multi-agent Systems Dtrbuted Adaptve Fault-Tolerant Control of Nonlnear Uncertan Second-order ult-agent Sytem ohen Khall, Xaodong Zhang, Yongcan Cao, aro. Polycarpou, and Thoma Parn Abtract Th paper preent an adaptve fault-tolerant

More information

Interest rates parity and no arbitrage as equivalent equilibrium conditions in the international financial assets and goods markets

Interest rates parity and no arbitrage as equivalent equilibrium conditions in the international financial assets and goods markets Interet rate party and no arbtrage a equvalent equlbrum condton n the nternatonal fnancal aet and good market Stefano Bo, Patrce Fontane, Cuong Le Van To cte th veron: Stefano Bo, Patrce Fontane, Cuong

More information

MODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID FILMS USING THE INTERVAL LATTICE BOLTZMANN METHOD

MODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID FILMS USING THE INTERVAL LATTICE BOLTZMANN METHOD Journal o Appled Mathematc and Computatonal Mechanc 7, 6(4), 57-65 www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.4.6 e-issn 353-588 MODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID

More information

Research Article An Extension of Stolarsky Means to the Multivariable Case

Research Article An Extension of Stolarsky Means to the Multivariable Case Internatonal Mathematcs and Mathematcal Scences Volume 009, Artcle ID 43857, 14 pages do:10.1155/009/43857 Research Artcle An Extenson of Stolarsky Means to the Multvarable Case Slavko Smc Mathematcal

More information

A New Upper Bound on 2D Online Bin Packing

A New Upper Bound on 2D Online Bin Packing 50 A New Upper Bound 2.5545 on 2D Onlne Bn Packng XIN HAN, Dalan Unverty of Technology FRANCIS Y. L. CHIN and HING-FUNG TING, The Unverty of Hong Kong GUOCHUAN ZHANG, Zhejang Unverty YONG ZHANG, The Unverty

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Method Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems

Method Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems Internatonal Workhop on MehFree Method 003 1 Method Of Fundamental Soluton For Modelng lectromagnetc Wave Scatterng Problem Der-Lang Young (1) and Jhh-We Ruan (1) Abtract: In th paper we attempt to contruct

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

STABILITY OF DGC S QUADRATIC FUNCTIONAL EQUATION IN QUASI-BANACH ALGEBRAS: DIRECT AND FIXED POINT METHODS

STABILITY OF DGC S QUADRATIC FUNCTIONAL EQUATION IN QUASI-BANACH ALGEBRAS: DIRECT AND FIXED POINT METHODS Internatonal Journal of Pure and ppled Mathematcal Scence. ISSN 097-988 Volume 0, Number (07), pp. 4-67 Reearch Inda Publcaton http://www.rpublcaton.com STILITY OF DGC S QUDRTIC FUNCTIONL EQUTION IN QUSI-NCH

More information

A Simple Proof of Sylvester s (Determinants) Identity

A Simple Proof of Sylvester s (Determinants) Identity Appled Mathematcal Scences, Vol 2, 2008, no 32, 1571-1580 A Smple Proof of Sylvester s (Determnants) Identty Abdelmalek Salem Department of Mathematcs and Informatques, Unversty Centre Chekh Larb Tebess

More information

Alpha Risk of Taguchi Method with L 18 Array for NTB Type QCH by Simulation

Alpha Risk of Taguchi Method with L 18 Array for NTB Type QCH by Simulation Proceedng of the World Congre on Engneerng 00 Vol II WCE 00, July -, 00, London, U.K. Alpha Rk of Taguch Method wth L Array for NTB Type QCH by Smulaton A. Al-Refae and M.H. L Abtract Taguch method a wdely

More information

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1. 7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)

More information

Iterative Methods for Searching Optimal Classifier Combination Function

Iterative Methods for Searching Optimal Classifier Combination Function htt://www.cub.buffalo.edu Iteratve Method for Searchng Otmal Clafer Combnaton Functon Sergey Tulyakov Chaohong Wu Venu Govndaraju Unverty at Buffalo Identfcaton ytem: Alce Bob htt://www.cub.buffalo.edu

More information

DEADLOCK INDEX ANALYSIS OF MULTI-LEVEL QUEUE SCHEDULING IN OPERATING SYSTEM USING DATA MODEL APPROACH

DEADLOCK INDEX ANALYSIS OF MULTI-LEVEL QUEUE SCHEDULING IN OPERATING SYSTEM USING DATA MODEL APPROACH GESJ: Computer Scence and Telecommuncaton 2 No.(29 ISSN 2-232 DEADLOCK INDEX ANALYSIS OF MULTI-LEVEL QUEUE SCHEDULING IN OPERATING SYSTEM USING DATA MODEL APPROACH D. Shukla, Shweta Ojha 2 Deptt. of Mathematc

More information

Resonant FCS Predictive Control of Power Converter in Stationary Reference Frame

Resonant FCS Predictive Control of Power Converter in Stationary Reference Frame Preprnt of the 9th World Congre The Internatonal Federaton of Automatc Control Cape Town, South Afrca. Augut -9, Reonant FCS Predctve Control of Power Converter n Statonary Reference Frame Lupng Wang K

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX Hacettepe Journal of Mathematcs and Statstcs Volume 393 0 35 33 FORMUL FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIGONL MTRIX H Kıyak I Gürses F Yılmaz and D Bozkurt Receved :08 :009 : ccepted 5

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

Anti-van der Waerden numbers of 3-term arithmetic progressions.

Anti-van der Waerden numbers of 3-term arithmetic progressions. Ant-van der Waerden numbers of 3-term arthmetc progressons. Zhanar Berkkyzy, Alex Schulte, and Mchael Young Aprl 24, 2016 Abstract The ant-van der Waerden number, denoted by aw([n], k), s the smallest

More information

The Pseudoblocks of Endomorphism Algebras

The Pseudoblocks of Endomorphism Algebras Internatonal Mathematcal Forum, 4, 009, no. 48, 363-368 The Pseudoblocks of Endomorphsm Algebras Ahmed A. Khammash Department of Mathematcal Scences, Umm Al-Qura Unversty P.O.Box 796, Makkah, Saud Araba

More information

Research Article Runge-Kutta Type Methods for Directly Solving Special Fourth-Order Ordinary Differential Equations

Research Article Runge-Kutta Type Methods for Directly Solving Special Fourth-Order Ordinary Differential Equations Hndaw Publhng Corporaton Mathematcal Problem n Engneerng Volume 205, Artcle ID 893763, page http://dx.do.org/0.55/205/893763 Reearch Artcle Runge-Kutta Type Method for Drectly Solvng Specal Fourth-Order

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

An (almost) unbiased estimator for the S-Gini index

An (almost) unbiased estimator for the S-Gini index An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for

More information

Spin-rotation coupling of the angularly accelerated rigid body

Spin-rotation coupling of the angularly accelerated rigid body Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s

More information