Research on Negotiation based Bargaining Strategies in e-commerce Jiang Jianhua 1,a, Zhang Guangyun 1,b, Hong Niansong 2,c

Size: px
Start display at page:

Download "Research on Negotiation based Bargaining Strategies in e-commerce Jiang Jianhua 1,a, Zhang Guangyun 1,b, Hong Niansong 2,c"

Transcription

1 Inernon Conference on Apped Scence nd Engneerng Innovon (ASEI 05) Reserch on egoon sed Brgnng Sreges n e-commerce Jng Jnhu,, Zhng Gungyun,, Hong nsong,c Coege of Compuer Engneerng, Gungdong Insue of Scence nd echnoogy, Zhuh, Chn Coege of Informon nd Communcons, Zheng Indusry &rde Poyechnc, Wenzhou, Chn 70879@qq.com, @qq.com, c 967@qq.com Keywords: egoon, Brgnng Sregy, Quoed Prce, Eecronc Commerce Asrc: As o prce negoon n e-commerce, form mode of prce rgnng negoon ws consruced. he rgnng sreges of snge-ssue nd mu-ssue were reserched. In snge-ssue negoon, he ssessmen mehod of quoed prce s uy vue ws gven ou, nd he rgnng sregy sed on rgnng rencrnon numer nd rvs rgnng ehvor were desgned respecvey. In mu-ssue negoon, he rgnng sregy sed on equven uy vue ws reserched nd he gorhm of generng quoed prce wh equven uy vue ws desgned, he rgnng sreges n hs pper cn e used n rnscon process of e-commerce effecvey. I. Inroducon Confc of neres s common n prce negoon n e-commerce. One of he es wys s y rgnng negoon. ov G hns h negoon s process of compromse for prcpns expressng her confcng demnds frsy nd hen o see souons y muu concessons []. As o heory of rgnng, M Benng defnes he uyer s sregy Be nse for he proem of rgy_rgy []. Su Qng dscussed he suppy chn muer negoon ou prof dsruon eween one uyer nd mny suppers [3]. Wng Knng es r-sges rgnng s exmpe, reserches he proem of dynmc gme of symmery nformon rgnng [4]. Zhn Wene reserches he evouon of sreges n mny-o-mny rgnng sed on ssumpon h rders re oundedy ron [5]. In he ppcon of rgnng, L uyu proposed rgnng cooperve gme mode for sseme-o-order(ao) suppy chn composed of fn produc mnufcurer nd wo suppers [6]. Wng reserched he Medum nd ong-erm power purchse pn sed on rgnng gme [7]. Lu un proposed resource ocon gorhm sed on he cooperve gme heory of generzed sh rgnng souon [8]. he essence of rgnng negoon s on ehf he neres of prcpns o see n greed go or negoon fs. So, rgnng negoon mode ws esshed frsy n hs pper, nd hen he rgnng sreges n he mode were reserched from wo specs of snge-ssue nd mu-ssue negoon. II. Form Mode of egoon Accordng o rgnng negoon process n e-commerce, he form mode of negoon s defned s foow Eq.. m <,, V, P, S, U, > () Where s prcpns nd expressed s {,,,..., r }, s seer nd s uyer. If r, s one-on-one negoon nd s one-o-mny negoon whe r. <,,..., n > s ssues of negoon. I cn e used o ndce such s cos, me, quy nd ec. If n, s snge-ssue negoon, s mu-ssue negoon where n. n V < V, V,..., V > s he vue of ssues. P s prooco of negoon, s used o conro nd mnge he nercon rues of 05. he uhors - Pushed y Ans Press 475

2 negoon, such s he prooco of spung prcpns mus d he sme me or d n urn. S s sregy refers o he cons en y prcpns o cheve her gos n he process of negoon, such s concesson sreges or wn-wn sregy. U { U, U, U,..., U } s he uy vue of prcpns. r s rencrnon numer of negoon nd 0 mx, mx s he dedne or mxmum rencrnon numer. III. Brgnng sregy for snge-ssue negoon he process of snge-ssue negoon s shown n Fg.. he ey sep of he process s o ssess he quoed prce of opponens nd pu forwrd couner prce whe cn e cceped. receve V ssess mx V f Fnsh U( V ) U( V + > ) Success Genere couner prce V + Fg. process of snge-ssue negoon Ccue uy vue of quoed prce. Supposed h prcpns of rgnng negoon s u u Ag {,}, where s uyer nd s seer. Assumed h he quoed prce of s [ P, P ], P s he hghes prce cn e cceped y, whe he quoed prce of s [ P, u P ] nd P s he owes prce cn e cceped y. For nd, hey don now ech oher s reserve prce. So, u he nerv [ P, P ] s shown n Fg. s he prce e o me negoon success. P P u P u P rnscon success 0 Fg. nerv mes rnscon successfu As seer, usuy wns o ge he hghes prce, so s uy funcon s monooncy ncresng. On he conrry, he uy funcon of s monooncy decresng. So, he formu for ccung uy vue of -rencrnon rgnng cn e defned s foow Eq. nd Eq. 3 respecvey. u P V U( V ) u P P V P U( V ) u P P Rencrnon numer sed rgnng sregy. egoon mos mposse o e successfu mmedey, needs sever rounds of rgnng. A he egnnng of negoon, nd w presen he prce V nd V mes her uy mxmzon. If negoon fs, one of he prcpns w propose new quoed prce sed on hs concesson sregy n susequen negoon. Supposed h he funcon of concesson sregy s f(), he funcon of updes he prce o n he nex rencrnon cn e defned s foow Eq. 4. x x + f( )( P P ) (4) + u () (3) 476

3 If f( ) / mx, mens h he concesson sregy of s unform. f( ) / represens he concesson sregy s monooncy decresng nd mx ( ) / f s on he conrry. Rv ehvor sed rgnng sregy. he ey of rv ehvor sed rgnng s o cqured he concesson sregy from rgnng sequence of opponen s frsy, nd hen proposes new prce. Supposed h he rgnng sequence of o s S { V, V,..., V }, hen he concesson sregy of cn e defned n four dfferen forms, s shown n Eq. 5. V V D AACD D AMnCD mn V V,,3,..., D AMxCD mx V V,,3,..., V V D RACD (5) Where V s he n quoed prce of nd V s he s quoed prce of, s he rencrnon numer of negoon. Accordng o S nd he concesson sregy of, he quoed prce of n + -rencrnon cn e ccued s foow Eq u V mn{mx[ V f( S), P], P } (6) Where f( S ) s concesson sregy of ccued y S, nd s vue rnge s f( S ) { D, D, D, D }. AACD AMnCD AMxCD RACD IV. Brgnng sregy for mu-ssue negoon Ccue uy vue of mu-ssue. As o ssues <,,..., n >. Supposed h he wegh n of ssgned o ssue s ω where ω. U s uy vues for ssues n -rencrnon. hen he formu for ccung uy vue of mu-ssue s defned s foow Eq.7. U n ω U Where (7) V P U, f u s gn ssue P P u P V U, ohers u P P u And [ P, P ] s he vue nerv of ssue, V s prcc vue of n - rencrnon. Brgn sregy of equven uy vue. As o mu-ssues <,,..., n >, f prce V cn' e cceped y n -rencrnon negoon, hen w pu forwrd couner offer V. If U( V ) U+ ( V ), hen cceps V nd rgnng negoon s success. ' ' ' Oherwse, w choose couner-prce V mx{ sm( V, V )} whe UV ( ) UV ( ). As o he smry eween V nd V, cn e defned s foow Eq. 8. n ω sm( V, V ) ( sm( V, V )) (8) Where sm( V, V ) s smry eween he vue from nd on ssue nd cn e ccued y foow formu s shown n Eq. 9. mn(, ) V V sm( V, V ) (9) mx( V, V ) he de of proposng prce wh equven uy vue s dvde ssues n V < V, V,..., V > 477

4 no <,,..., m > nd < m+, m+,..., n > wo ses frsy, where m [ n/ ], nd. In hs wy, V s dvded no V ( V, V,..., V m ) nd ( m+ m n, + V V V,..., V ) ' correspondngy, nd her uy s UV ( ) nd UV ( ). hen he new prce V cn e cqured y he wy of reducng uy vue U from nd dd he sme uy vue o. he gorhm of reducng U from s descred s foow: Inpu: < > nd s wegh W { ω, ω,..., ω m }, decresed uy vue U ; V ( V, V,..., V ) m,,..., m u nd UV ( ) ( V P)/( P P) ' Oupu: ' ' ' V (,,..., m V V V ) In. : 0 ; U D 0 Seps: )for(n ; m; ++) U UV ( ) )whe( UD < U ) + ; for(n ; m; ++) d rndom(0, U ) ; m D D ω U U d + ; for(n ; U U d ; m; ++) 3)for(n ; m; ++) ω D U ( d )( U / U ) 4)for(n ; m; ++) UV UV U ' ( ) ( ) Ccue ' ' ' V y u UV ( ) ( V P)/( P P) ' ' ' ' 5)Oupu V (,,..., m V V V ), end. he gorhm of dd U o s us dd uy vue for ech ssue rndomy nsed of reduce uy vue n he ove gorhm. V. Brgnng sregy sed process of rnscon n e-commerce Supposed h n enerprse hs some ss o e ssgned o n ousource servce supper n he ss ppcns B {,,..., r }. he ssues of rgnng negoon eween seer nd supper re cos, quy nd devery dedne. From he pon vew of, he rgnng sregy sed process of rnscon cn e descred n Fg.3, nd he process descred s foow. 478

5 deermne he rnge of ech ssue nd seec rgnng sregy. se he numer of rencrnon mx,on he wegh of ech ssue from opponen w nd uy funcon U( x) gves ou hs prce V o opponen rencrnon > mx cceps? V gves couner prce? ccue uy of prce from U V U V + ( ) ( ) f Success fnsh genere couner-prce V + y pre-seng rgnng sregy Fg.3 rgnng sregy sed process of rnscon Sep Seer deermnes he ssues of negoon nd he rnge for ech ssue. Seec rgnng sregy nd he uy funcon U( x ) for ccung uy vue. Se he mxmum vue of rencrnon mx. If s mu-ssue negoon, seer so needs o now he wegh of ech ssue from supper. Sep Seer seecs supper from B {,,..., r } nd proposes prce V. Sep 3 If cceps V, hen urn sep 7. If neher cceps nor proposes couner prce, urn sep 6. If supper proposes couner prce, urn sep 4. Sep 4 Seer ssesses he couner prce from y U( x ) nd urn sep 7 whe U( V ) U( V + ). Oherwse, seer proposes couner prce y he pre-seng rgnng sregy, hen urn sep 5. Sep 5 If he numer of rencrnon mx, hen urn sep 6. Oherwse urn sep 3. Sep 6 egoon f, urn sep. Sep 7 egoon success nd ss oce o supper. VI. Concusons egoon s one of he es wys o resove neres confc n usness negoon n e-commerce, nd rgnng sregy s he ey of negoon. For snge-ssue negoon, he mny used n rgnng s concesson sregy, he rencrnon numer sed nd rgnng ehvor of opponens sed rgnng cn promoe he success of negoon effecvey. Whe n mu-ssue negoon, he equven uy sed rgnng cn mes he negoon pres o cheve wn-wn suon. Reference [] ov G. ms 06 Proceedngs of he ffh nernon on conference on uonomous gens nd mugen sysem, p ,( 006). 479

6 []M Benng, Qu Wnhu. Journ of Indusr Engneerng/Engneerng Mngemen, Vo.9, (005), p [3]Su Qn, Lu Qng. Sysems Engneerng heory & Prcce,vo. 30, (00), p [4]Wng Knng, Wng Song. Sysems Engneerng-heory & Prcce, vo.0, (00), p [5]Zhn Wene, Zou. Sysems Engneerng heory & Prcce, vo.34, (04), p [6]L uyu, Hung Bo. Indusr Engneerng Journ, vo.7,(04), p [7]Wng, Gong un, Wng cheng. Proceedngs of he CSU-EPSA, vo.5,(03),p [8]Lu un, Feng Suu. Jourm of Crcus nd Sysem,vo.7, (0), p

The Characterization of Jones Polynomial. for Some Knots

The Characterization of Jones Polynomial. for Some Knots Inernon Mhemc Forum,, 8, no, 9 - The Chrceron of Jones Poynom for Some Knos Mur Cncn Yuuncu Y Ünversy, Fcuy of rs nd Scences Mhemcs Deprmen, 8, n, Turkey m_cencen@yhoocom İsm Yr Non Educon Mnsry, 8, n,

More information

EEM 486: Computer Architecture

EEM 486: Computer Architecture EEM 486: Compuer Archecure Lecure 4 ALU EEM 486 MIPS Arhmec Insrucons R-ype I-ype Insrucon Exmpe Menng Commen dd dd $,$2,$3 $ = $2 + $3 sub sub $,$2,$3 $ = $2 - $3 3 opernds; overfow deeced 3 opernds;

More information

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Supporting information How to concatenate the local attractors of subnetworks in the HPFP n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Research Article Oscillatory Criteria for Higher Order Functional Differential Equations with Damping

Research Article Oscillatory Criteria for Higher Order Functional Differential Equations with Damping Journl of Funcon Spces nd Applcons Volume 2013, Arcle ID 968356, 5 pges hp://dx.do.org/10.1155/2013/968356 Reserch Arcle Oscllory Crer for Hgher Order Funconl Dfferenl Equons wh Dmpng Pegung Wng 1 nd H

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Advanced Electromechanical Systems (ELE 847)

Advanced Electromechanical Systems (ELE 847) (ELE 847) Dr. Smr ouro-rener Topc 1.4: DC moor speed conrol Torono, 2009 Moor Speed Conrol (open loop conrol) Consder he followng crcu dgrm n V n V bn T1 T 5 T3 V dc r L AA e r f L FF f o V f V cn T 4

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Hidden Markov Model. a ij. Observation : O1,O2,... States in time : q1, q2,... All states : s1, s2,..., sn

Hidden Markov Model. a ij. Observation : O1,O2,... States in time : q1, q2,... All states : s1, s2,..., sn Hdden Mrkov Model S S servon : 2... Ses n me : 2... All ses : s s2... s 2 3 2 3 2 Hdden Mrkov Model Con d Dscree Mrkov Model 2 z k s s s s s s Degree Mrkov Model Hdden Mrkov Model Con d : rnson roly from

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b Inernaonal Indusral Informacs and Compuer Engneerng Conference (IIICEC 05) Arbue educon Algorhm Based on Dscernbly Marx wh Algebrac Mehod GAO Jng,a, Ma Hu, Han Zhdong,b Informaon School, Capal Unversy

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Some Inequalities variations on a common theme Lecture I, UL 2007

Some Inequalities variations on a common theme Lecture I, UL 2007 Some Inequliies vriions on common heme Lecure I, UL 2007 Finbrr Hollnd, Deprmen of Mhemics, Universiy College Cork, fhollnd@uccie; July 2, 2007 Three Problems Problem Assume i, b i, c i, i =, 2, 3 re rel

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 36 3 1!!!!!!"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!" 1 1 3 3 1. 401331. 610000 3. 610000!!!!!!", ( ),,,,,,, ; ; ; ; ; TE973.6 A 100106 (010) 0300104 0 D /m; β

More information

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681 Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve

More information

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web:     Ph: Serial : 0. ND_NW_EE_Signal & Sysems_4068 Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkaa Pana Web: E-mail: info@madeeasy.in Ph: 0-4546 CLASS TEST 08-9 ELECTRICAL ENGINEERING

More information

THE POLYNOMIAL TENSOR INTERPOLATION

THE POLYNOMIAL TENSOR INTERPOLATION Pease ce hs arce as: Grzegorz Berna, Ana Ceo, The oynoma ensor neroaon, Scenfc Research of he Insue of Mahemacs and Comuer Scence, 28, oume 7, Issue, ages 5-. The webse: h://www.amcm.cz./ Scenfc Research

More information

An Intelligent Agent Negotiation Strategy in the Electronic Marketplace Environment

An Intelligent Agent Negotiation Strategy in the Electronic Marketplace Environment An Inellgen Agen Negoon regy n he Elecronc Mreplce Envronmen Mlm Lou, Ionn Rouss, Lmbros Pechlvnos 3 Technologcl Educonl Insue of Wesern Mcedon, Deprmen of Busness Admnsron, Kol, Kozn 5, GREECE e-ml: lou@elecom.nu.gr

More information

Direct Current Circuits

Direct Current Circuits Eler urren (hrges n Moon) Eler urren () The ne moun of hrge h psses hrough onduor per un me ny pon. urren s defned s: Dre urren rus = dq d Eler urren s mesured n oulom s per seond or mperes. ( = /s) n

More information

Track Properities of Normal Chain

Track Properities of Normal Chain In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

An improved statistical disclosure attack

An improved statistical disclosure attack In J Grnulr Compung, Rough Ses nd Inellgen Sysems, Vol X, No Y, xxxx An mproved sscl dsclosure c Bn Tng* Deprmen of Compuer Scence, Clforn Se Unversy Domnguez Hlls, Crson, CA, USA Eml: bng@csudhedu *Correspondng

More information

Fuzzy Set Theory in Modeling Uncertainty Data. via Interpolation Rational Bezier Surface Function

Fuzzy Set Theory in Modeling Uncertainty Data. via Interpolation Rational Bezier Surface Function Appled Mahemacal Scences, Vol. 7, 013, no. 45, 9 38 HIKARI Ld, www.m-hkar.com Fuzzy Se Theory n Modelng Uncerany Daa va Inerpolaon Raonal Bezer Surface Funcon Rozam Zakara Deparmen of Mahemacs, Faculy

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information

Reinforcement learning

Reinforcement learning CS 75 Mchine Lening Lecue b einfocemen lening Milos Huskech milos@cs.pi.edu 539 Senno Sque einfocemen lening We wn o len conol policy: : X A We see emples of bu oupus e no given Insed of we ge feedbck

More information

Coordinate Geometry. Coordinate Geometry. Curriculum Ready ACMNA: 178, 214, 294.

Coordinate Geometry. Coordinate Geometry. Curriculum Ready ACMNA: 178, 214, 294. Coordinte Geometr Coordinte Geometr Curricuum Red ACMNA: 78, 4, 94 www.mthetics.com Coordinte COORDINATE Geometr GEOMETRY Shpes ou ve seen in geometr re put onto es nd nsed using gebr. Epect bit of both

More information

Physics 201 Lecture 2

Physics 201 Lecture 2 Physcs 1 Lecure Lecure Chper.1-. Dene Poson, Dsplcemen & Dsnce Dsngush Tme nd Tme Inerl Dene Velocy (Aerge nd Insnneous), Speed Dene Acceleron Undersnd lgebrclly, hrough ecors, nd grphclly he relonshps

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6. [~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries

More information

Electromagnetic Transient Simulation of Large Power Transformer Internal Fault

Electromagnetic Transient Simulation of Large Power Transformer Internal Fault Inernonl Conference on Advnces n Energy nd Envronmenl Scence (ICAEES 5) Elecromgnec Trnsen Smulon of rge Power Trnsformer Inernl Ful Jun u,, Shwu Xo,, Qngsen Sun,c, Huxng Wng,d nd e Yng,e School of Elecrcl

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4"C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48" AFF.

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48 AFF. 0 NOOY SYMO S N NOOY NOS: NO: his is a standard symbol list and not all items listed may be used. bbreviations () XSN OV NS OO NMW - UNOUN ONU OY ONO UNS ONO NS O ONO UNS OWN NS OX OX U OP SUON UN OO,

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

PHYSICS 1210 Exam 1 University of Wyoming 14 February points PHYSICS 1210 Em 1 Uniersiy of Wyoming 14 Februry 2013 150 poins This es is open-noe nd closed-book. Clculors re permied bu compuers re no. No collborion, consulion, or communicion wih oher people (oher

More information

Electrostatic/magnetostatic forces

Electrostatic/magnetostatic forces Eecsc/gnesc ces spes ppc: eneg e ec eneg ce (vec) ve (vec) en ( eneg ) ( snce) ne s cn gve e O ce (n pessue) u cn en snge sp cne s pe e ce spe epe: pe pes eecsc: ppe vge gnesc: cuen I Den. Nekk 00, s upe

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

FM Applications of Integration 1.Centroid of Area

FM Applications of Integration 1.Centroid of Area FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Discussion of "Win-Win concession period determination methodology" by Xueqing Zhang

Discussion of Win-Win concession period determination methodology by Xueqing Zhang Ttle Dsussn f "Wn-Wn nessn perd determntn methdlgy" by Xueqng Zhng Authr(s) Wu, M; Chu, KW; Shen, QP Cttn Jurnl Of Cnstrutn Engneerng And Mngement, 0, v. n., p. Issued Dte 0 URL http://hdl.hndle.net/0/

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

A NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS

A NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS ScInLhore),7),9-37,4 ISSN 3-536; CODEN: SINTE 8 9 A NEW INTERPRETATION O INTERVAL-VALUED UZZY INTERIOR IDEALS O ORDERED SEMIGROUPS Hdy Ullh Khn, b, Nor Hnz Srmn, Asghr Khn c nd z Muhmmd Khn d Deprmen of

More information

Homework 4 SOLUTION EE235, Summer 2012

Homework 4 SOLUTION EE235, Summer 2012 Homework 4 SOLUTION EE235, Summer 202. Causal and Sable. These are impulse responses for LTI sysems. Which of hese LTI sysem impulse responses represen BIBO sable sysems? Which sysems are causal? (a) h()

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Goods Demand Forecast and Dispatching Plan in Aviation Emergency Rescue Ming Zhanga Hui Yub Shuo Wangc Xiangyu Lid Ming Zhange Yi Zhouf

Goods Demand Forecast and Dispatching Plan in Aviation Emergency Rescue Ming Zhanga Hui Yub Shuo Wangc Xiangyu Lid Ming Zhange Yi Zhouf nd Inernon Conference on Educon Technooy, Mnemen nd Humnes Scence (ETMHS 06) Goods Demnd Forecs nd Dspchn Pn n Avon Emerency Rescue Mn Zhn Hu Yub Shuo Wnc Xnyu Ld Mn Zhne Y Zhouf Coee of Cv Avon, Nnjn

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

Solutions - Midterm Exam

Solutions - Midterm Exam DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, THE UNIVERITY OF NEW MEXICO ECE-34: ignals and ysems ummer 203 PROBLEM (5 PT) Given he following LTI sysem: oluions - Miderm Exam a) kech he impulse response

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

MA 15910, Lessons 2a and 2b Introduction to Functions Algebra: Sections 3.5 and 7.4 Calculus: Sections 1.2 and 2.1

MA 15910, Lessons 2a and 2b Introduction to Functions Algebra: Sections 3.5 and 7.4 Calculus: Sections 1.2 and 2.1 MA 15910, Lessons nd Introduction to Functions Alger: Sections 3.5 nd 7.4 Clculus: Sections 1. nd.1 Representing n Intervl Set of Numers Inequlity Symol Numer Line Grph Intervl Nottion ) (, ) ( (, ) ]

More information

A Kalman filtering simulation

A Kalman filtering simulation A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Temperature Rise of the Earth

Temperature Rise of the Earth Avilble online www.sciencedirec.com ScienceDirec Procedi - Socil nd Behviorl Scien ce s 88 ( 2013 ) 220 224 Socil nd Behviorl Sciences Symposium, 4 h Inernionl Science, Socil Science, Engineering nd Energy

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

CHAPTER 7: CLUSTERING

CHAPTER 7: CLUSTERING CHAPTER 7: CLUSTERING Semparamerc Densy Esmaon 3 Paramerc: Assume a snge mode for p ( C ) (Chapers 4 and 5) Semparamerc: p ( C ) s a mure of denses Mupe possbe epanaons/prooypes: Dfferen handwrng syes,

More information

Testing a new idea to solve the P = NP problem with mathematical induction

Testing a new idea to solve the P = NP problem with mathematical induction Tesng a new dea o solve he P = NP problem wh mahemacal nducon Bacground P and NP are wo classes (ses) of languages n Compuer Scence An open problem s wheher P = NP Ths paper ess a new dea o compare he

More information

Mathematics 805 Final Examination Answers

Mathematics 805 Final Examination Answers . 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se

More information

6/27/2012. Signals and Systems EE235. Chicken. Today s menu. Why did the chicken cross the Möbius Strip? To get to the other er um

6/27/2012. Signals and Systems EE235. Chicken. Today s menu. Why did the chicken cross the Möbius Strip? To get to the other er um Signals and Sysems EE35 Chicken Why did he chicken cross he Möbius Srip? To ge o he oher er um Today s menu Sysem properies Lineariy Time invariance Sabiliy Inveribiliy Causaliy Los of examples! 1 Sysem

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff Laplace ransfom: -ranslaion rule 8.03, Haynes Miller and Jeremy Orloff Inroducory example Consider he sysem ẋ + 3x = f(, where f is he inpu and x he response. We know is uni impulse response is 0 for

More information

Y 0.4Y 0.45Y Y to a proper ARMA specification.

Y 0.4Y 0.45Y Y to a proper ARMA specification. HG Jan 04 ECON 50 Exercises II - 0 Feb 04 (wih answers Exercise. Read secion 8 in lecure noes 3 (LN3 on he common facor problem in ARMA-processes. Consider he following process Y 0.4Y 0.45Y 0.5 ( where

More information

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor.

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor. In Eercise 1, use sndrd recngulr Cresin coordine sysem. Le ime be represened long he horizonl is. Assume ll ccelerions nd decelerions re consn. 1. Consider PSA iniilly res in he beginning of he lef-hnd

More information

SOLUTIONS TO ECE 3084

SOLUTIONS TO ECE 3084 SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Connecting Deer Creek and River des Peres Greenway

Connecting Deer Creek and River des Peres Greenway C D C Rv s s Gy ps D C Gy NORTH W Av Av Js Av E Av Su Av E Av Chy Av G Bv y Av. ps y h s G Bv, h h--y Cuy Av. ps C Rv s s Gy D C B B Bv Ox Av. Sussx Av. C Av. Ox Av. Ch Av. Ch Av. By E Av Mh Av. D C O-

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

Query Data With Fuzzy Information In Object- Oriented Databases An Approach The Semantic Neighborhood Of Hedge Algebras

Query Data With Fuzzy Information In Object- Oriented Databases An Approach The Semantic Neighborhood Of Hedge Algebras (IJCSIS) Inernonl Journl of Compuer Scence nd Informon Secury, Vol 9, No 5, My 20 Query D Wh Fuzzy Informon In Obec- Orened Dbses An Approch The Semnc Neghborhood Of edge Algebrs Don Vn Thng Kore-VeNm

More information

10/10/2011. Signals and Systems EE235. Today s menu. Chicken

10/10/2011. Signals and Systems EE235. Today s menu. Chicken Signals and Sysems EE35 Today s menu Homework 1 Due omorrow Ocober 14 h Lecure will be online Sysem properies Lineariy Time invariance Sabiliy Inveribiliy Causaliy Los of examples! Chicken Why did he chicken

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

Supplement: Gauss-Jordan Reduction

Supplement: Gauss-Jordan Reduction Suppleme: Guss-Jord Reducio. Coefficie mri d ugmeed mri: The coefficie mri derived from sysem of lier equios m m m m is m m m A O d he ugmeed mri derived from he ove sysem of lier equios is [ ] m m m m

More information

Chapter 2: Evaluative Feedback

Chapter 2: Evaluative Feedback Chper 2: Evluive Feedbck Evluing cions vs. insrucing by giving correc cions Pure evluive feedbck depends olly on he cion ken. Pure insrucive feedbck depends no ll on he cion ken. Supervised lerning is

More information

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25 Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

Epistemic Game Theory: Online Appendix

Epistemic Game Theory: Online Appendix Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha

More information

Linear Circuit Elements

Linear Circuit Elements 1/25/2011 inear ircui Elemens.doc 1/6 inear ircui Elemens Mos microwave devices can be described or modeled in erms of he hree sandard circui elemens: 1. ESISTANE () 2. INDUTANE () 3. APAITANE () For he

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement Sl g Spum Gun mum Rqumn Yno n T S Ky Sw ngg ompu Sool Wun Uny nyno@wuun Yuxun Xong T S Ky Sw ngg ompu Sool Wun Uny xongyx@mlluun Qn Wng ompu Sool Wun Uny qnwng@wuun STRT Xoyn Y Sool mon Tlogy ow Uny X

More information