A FUZZY MULTI-ATTRIBUTE DECISION MAKING ALGORITM BASED ON INTUITIONISTIC FUZZY SETS

Size: px
Start display at page:

Download "A FUZZY MULTI-ATTRIBUTE DECISION MAKING ALGORITM BASED ON INTUITIONISTIC FUZZY SETS"

Transcription

1 FUZZY MULTI-TTRIBUTE DECISION MKING LGORITM BSED ON INTUITIONISTIC FUZZY SETS I Crme Bărbăcor, Cott Brâcş Uverty, Tg. J btrct: The rooed method ebe deco mker to chooe the mot mortt of the crter mkg deco g degree of memberh d o-memberh of the crter to the fzzy cocet mortce.. The rooed method e degree of tfbty d otfbty of ech tertve the trth-memberh fcto d o-trth memberh fcto. The robem tmtey e ovg er rogrmmg mode. The rooed method dffer from revo roche for mtcrter fzzy deco-mkg ot oy de to the fct tht the rooed method e ttotc fzzy et theory rther th fzzy et theory, bt o de to the degree of mortce of the crter re ot cott d the ccto mer. Key word: Ittotc Fzzy Set, Deco mkg, Memberh fcto, Degree of memberh, Degree of o-memberh, Degree of determcy.. INTRODUCTION Coderg the redctbe fctor deco-mkg, Zdeh [9] trodced the de of fzzy et whch h memberh fcto tht g to ech eemet of the vere of dcore, mber from the t terv [0,] to dcte the degree of beogge to the et der coderto. tov [] beqety rooed the cocet of ttotc fzzy et (IFS) by brgg o-memberh fcto together wth the memberh fcto of the fzzy et trodced erer by Zdeh [9]. mog the vro oto of hgher-order fzzy et, IFS rooed by tov[2] rovde febe frmework to eborte certty d vgee. Th de of IFS eem to be reorcef modeg my re fe tto ke egotto rocee, ychoogc vetgto, reog, medc dgo mog other.th er orgzed foow mog other Th er orgzed foow. I w frt reet the defto d roerte of ttotc fzzy et. I w cote to mtcrter deco-mkg method bed o ttotc fzzy et d the correodg er rogrmmg mode. Fy I w reet merc eme d hort coco. 2. INTUITIONISTIC FUZZY SETS The cocet of ttotc fzzy et w trodced by K.T. tov [] geerzto of the oto of fzzy et, X () ttotc fzzy et (IFS) X gve by,, X (2) 5

2 where μ : X [0,] ced degree of memberh d : X [0,] ced degree of o-memberh, wth the codto 0, X (3) We c degree of determcy of to, for ech X the mber [2]:, X (4) Gve two IFS d B over vere of dcore X, oe c defe the foowg reto: B ff X, B d B = B ff B d B we the foowg oerto []:,, X 2. MULTICRITERI FUZZY DECISION MKING BSED ON INTUITIONISTIC FUZZY SETS 2.. Preetto of the Probem I [3] we e the fzzy mtttrbte deco mkg roch to the roce of rodct eecto bed o qty of rodct, wch c eect the mot rorte oe wth the hghet degree of memberh beogg to the otve de oto. I thoght for mortt qty crter: rodcto cot (horty cot), tme, form, or. Etedg th hyothe, oe tht for yzed we hve et of m tertve, 2,..., m from whch yo mt eect oe, whch to ed the mber of crter to : C C,C.We we to evte 2 ech tertve C C. tfe the crter where B=, B, B X (5) B m, (6) B d B m, (7) B B=, B, B where X (8) B m, (9) B d B m, B (0) The degree of determcy re the, X. mber Ve the hgher hetto mrg of the deco mker of the me tht d Fgre. re the degree of memberh reectvey o-memberh of the tertve (Fgre ) whch tfy the crtero C C, reectvey, where 0 0 d, 0. I other word, the evto of the tertve wth reect to the crtero C ttotc fzzy et: C,, X () m, 6

3 tertve wth reect to the crtero C whoe tety gve by μ. Wth th de m to cree the qty of the emet roce. I [5], rooed to e octo the coed terv [, ] [, ]. Obvoy, 2 for d C C. I [5] the thor reeted () other form foow for the ke of erformg the deco-mker evto more drecty C,[, ] X. The thor trt from the mto tht there deco-mker who wt to chooe tertve whch tfe the crter C, C k,..., C or whch tfe the crter C. Bt rety mt chooe betwee two et of crter. So th er we me tht who wt to chooe tertve whch tfe the crter C,C k or whch tfe the crter C r,c t. Th deco-mker reqremet rereeted by the foowg ereo: (C ND C k ND... ND C )OR (C r ND C t ND... NDC ). (2) Therefore, the degree of evto the fct tht, whch the tertve tfe d doe ot tfy the deco-mker reqremet c be mered by the evto fcto F: C... C C... C F C C [, ], C C k... C, Cr C t... C [, ] [, ]... [, ] m,...,,m,..., m k r t k, k ]... [, ] r r t t, k, k r, t,...,,m r, t,...,, k r, t, k r, t [, ] [ [m m,...,,,...,, m m,...,,,..., ] [, ] m (ee retoh (5), (6), (7), (8), (9), (0)). [, ], where Let = [0,], [0,] 0,. The core of c be evted by the core fcto S how S( ), where S() [, ]. Net, [6] defe ccrcy fcto H to evte the degree of ccrcy of IFS where H() foow: H()= [0, ]. H(). Th ret the fct tht H hgher, the more the degree of ccrcy of the IFS. Ug the two fcto, [4] d the [5] coder fcto W, whch c mere the degree of tertve tfy the deco-mker reqremet. H E W E S E 2 3 W( E ) [, ]. The rger the ve of W(E( )), the more the tbty to whch the tertve tfe the decomker reqremet. 7

4 I [4] the thor reeted weghted techqe for hdg mtcrter fzzy deco-mkg robem, bt they med tht the degree of mortce of the crter etered by the deco-mker re cott, t hrd to do rety. I [5] the thor eted th hyothe d me tht ech crtero to hve dfferet degree of mortce, cty more commo rety. So, [5] the thor me tht d re the degree of memberh d omemberh of the crter C C to the fzzy cocet mortce, reectvey, where 0, 0 d 0. The thor coder ttotc dce = re ch tht the rger the hgher hetto mrg of deco-mker to the mortce of the crter C whoe tety gve by. Thee two ew qtte re ed to ccte the bgget weght (d the met oe) we c eect roce edg to f deco. Drg the roce the deco-mker c chge h evtg weght the foowg wy. It codered tht thee ve re cded the coed terv [, ] [, ]. Obvoy, 0 for ech crtero C C. I ddto, t med tht d order to fd otm weght tfyg d. metoed before, I w dd ddto to the [4] d [5], deco-mker who wt to chooe tertve whch tfe the crter C,C k or whch tfe the crter C r,c t. Th deco-mker reqremet c be rereeted by (2). The degree of mortce of the crter C,C k etered by the decomker re, k,...,, the degree of mortce of the crter C r,c t etered by the deco-mker re r, t,..., where,,, k k k, r r r t t t,,,..., d, k r t.... The weghtg fcto H d S wth degree of mortce, k,...,. Let [, ] [ k, k ] H [ ] T H * H * k..., * [, ] [ k, k ] S [ ] (3) W S * S * k..., * [ r, r ] [ t, t ] H [ ] (4) U H * H * r t..., * [ r, r ] [ t, t ] S [ ] (5) V S * S * r t..., * where [0,] W [,], [,] (6) U, T, [0,] V, m. The the degree of tbty tht the tertve tfe the deco-mker reqremet c be mered by the foowg fcto: 8

5 F T V m W, U (7) F, m. The rger the ve [,] of R( ), the more the tbty to whch the tertve tfe the deco-mker reqremet. I Eq. (7), we kow tht the ve of F( ) be o the ve of T, W,U, V. To obt weght, k,..., correodg crter C,C k d the weght r, t,..., correodg crter C r,c t [5] rooe to determe mmm fcto F g er rogrmmg. If t f to troe tht reqremet er rogrmmg robem the the oto w be obted g Sme method. The otm weght ve c be comted v er rogrmmg robem : The obectve fcto: 3 3 m F * * k 3 t 3t... * * t r 3 r 3 * r... * retrcto robem: (8)... (9) k... (20) r t o-egtvty codto:,,,, k k k (2) r r r, t t t,, (22) I d, th er rogrmmg robem oved g Sme method. 3. NUMERICL EXMPLE Net we w reet decomkg robem, where the chrctertc of the tertve re rereeted by ttotc fzzy et. Coder the robem of eecto of cr = {, 2, 3, 4, 5 }. The crter : C={c (rce), c 2 (comto), c 3 (tty) } re tke to coderto the eecto robem. Ug tttc method, the degree of memberh d the degree of omemberh for the tertve tfe the crtero c C c be obted, reectvey. Nmey,, 35 c 0.7,0.20.8,0.0.5,0.30.4, ,0.3 c2 0.5,0.30.9,0.0.7,0. 0.5, ,0.5 c3 0.8,0.20.6,0.30.7, , ,0. [, ] , , , , ,0.7 c 0.5, , , , ,0.5 c2 0.8, , , , ,0.9 c I mr wy, the degree ρ of memberh d the degree τ of omemberh for the three crter c C to the fzzy cocet mortce c be obted, reectvey, where =, 2, 3. Nmey,, , , ,0.55 Therefore, crter weght e the coed terv foow, [, ] , , ,0.45 9

6 ccordg to Eq. (8)-(22), the er rogrmmg c be obted:.975*.9* * 3 m F Ug Sme method to ove the bove er rogrmmg, t otm oto c be obted ω = 0.25, ω 2 = 0.3, ω 3 = The by yg Eq. (3), we c get 3 F5 0.6 * *0.4+ * * Therefore, we c ee tht the tertve 2 the bet choce. d the otm rkg order of the tertve gve by From the roce of ccto, we c ee tht the method reet th er eer th tht [4]. 4. CONCLUSION 3 F 0.7 * I th er t h bee yzed tht my deco mkg roch where the 3 3 *0.5+ * * chrctertc of the tertve re rereeted by ttotc fzzy et. The dfferece from other thor rem tht et of crter tht mt be ffed ech 3 tertve of the form (2). F2 0.8 * REFERENCE 3 3 *0.9+ * * [] tov, K.T., Ittotc fzzy et, Fzzy Set Syt., vo. 20, , gt 986. [Oe]. vbe: 3 htt://d.do.org/0.06/s065- F3 0.5 * (86) [2] tov, K.T., Ittotc fzzy et: 3 3 *0.7+ * * t, reet d ftre, EUSFLT Cof., M. Wgekecht d R. Hme, Ed. Uverty of ed Scece t Ztt/G ortz, Germy, 2003, [3] Bărbăcor, I. C., Fzzy Mt- F4 0.4 * ttrbte Deco Mkg gortm for 3 3 rodcto Comer Good, of the *0.5+ * * Cott Brâcş Uverty of Târg J- Egeerg Sere, o. 3, 203, , ISSN [4] Che S.M., T J.M., Hdg mtcrter fzzy deco-mkg robem bed o vge et theory, Fzzy Set Sytem 67(994) [8] Tog, H. Zhg, S., Fzzy Mt- ttrbte Deco Mkg gortm for Web Servce Seecto Bed o QoS, Proceedg of the 2006 IEEE -Pcfc 20

7 [5] L, L., Y, X.H., X Z.Q., Mtcrter fzzy deco-mkg method bed o ttotc fzzy et, Jor of Comter d Sytem Scece 73 (2007) [6] Che, S., Theory of fzzy eecto mttge d mtobectve deco mkg ytem, The Jor of Fzzy mthemtc, 994, 2(). [7] Che, S. J., Fzzy Mt-ttrbte Deco Mkg: method d cto, Ber: Srger-Verg, 992. Coferece o Servce Comtg, [9] L.. Zdeh, Fzzy et, Iform.d Cotro 8 (965)

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems ISS 746-7659 Egd UK Jour of Iformto d Comutg Scece Vo. 6 o. 4. 6-68 The Comutto of Commo Ifty-orm yuov Fuctos for er Swtched Systems Zheg Che Y Go Busess Schoo Uversty of Shgh for Scece d Techoogy Shgh

More information

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN Euroe Jour of Mthemtcs d omuter Scece Vo. No. 6 ISSN 59-995 ISSN 59-995 ON AN INVESTIGATION O THE MATRIX O THE SEOND PARTIA DERIVATIVE IN ONE EONOMI DYNAMIS MODE S. I. Hmdov Bu Stte Uverst ABSTRAT The

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd

More information

3. REVIEW OF PROPERTIES OF EIGENVALUES AND EIGENVECTORS

3. REVIEW OF PROPERTIES OF EIGENVALUES AND EIGENVECTORS . REVIEW OF PROPERTIES OF EIGENVLUES ND EIGENVECTORS. EIGENVLUES ND EIGENVECTORS We hll ow revew ome bc fct from mtr theory. Let be mtr. clr clled egevlue of f there et ozero vector uch tht Emle: Let 9

More information

A Novel Hybrid Fuzzy Weighted Average for MCDM with Interval Triangular Type-2 Fuzzy Sets

A Novel Hybrid Fuzzy Weighted Average for MCDM with Interval Triangular Type-2 Fuzzy Sets WSEAS TRASATIOS o SYSTEMS rdh Zmr Lm Abdh Mhmmd Sr Htm oor Mr Mohmmd oor Ahmd Joh A oe Hybrd Fy Weghted Aerge for MDM wth Iter Trgr Type- Fy Set URADIAH ZAMRI LAZIM ABDULLAH b MUHAMMAD SUZURI HITAM c OOR

More information

Convergence Rates of Density Estimation in Besov Spaces

Convergence Rates of Density Estimation in Besov Spaces Aed Mthemtc 58-6 do:436/m75 Pubhed Oe October (htt://wwwscrpor/our/m) Coverece Rte of Dety Etmto Beov Sce Abtrct Huy W Dertmet of Aed Mthemtc Be Uverty of Techooy Be Ch E-m: b865@embuteduc Receved Juy

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

Linear Open Loop Systems

Linear Open Loop Systems Colordo School of Me CHEN43 Trfer Fucto Ler Ope Loop Sytem Ler Ope Loop Sytem... Trfer Fucto for Smple Proce... Exmple Trfer Fucto Mercury Thermometer... 2 Derblty of Devto Vrble... 3 Trfer Fucto for Proce

More information

Digital Design of Coefficient Diagram Method

Digital Design of Coefficient Diagram Method 9 erc Cotro Coferece Hytt Regecy Rverfrot, St Lou, MO, US Jue -, 9 h76 gt eg of Coeffcet gr Method Ö Öc, r d e trct Coeffcet gr Method CM the oe of the ot effectve cotro deg ethod terture It gve cotro

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

SOLVING FUZZY LINEAR PROGRAMMING PROBLEM USING SUPPORT AND CORE OF FUZZY NUMBERS

SOLVING FUZZY LINEAR PROGRAMMING PROBLEM USING SUPPORT AND CORE OF FUZZY NUMBERS Itertio Jor of Scietific Reserch Egieerig & Techoogy (IJSRET ISSN 78 88 Vome 6 Isse 4 pri 7 44 SOLVING FUZZY LINER PROGRMMING PROBLEM USING SUPPORT ND CORE OF FUZZY NUMBERS Dr.S.Rmthigm K.Bmrg sst. Professor

More information

Patterns of Continued Fractions with a Positive Integer as a Gap

Patterns of Continued Fractions with a Positive Integer as a Gap IOSR Jourl of Mthemtcs (IOSR-JM) e-issn: 78-578, -ISSN: 39-765X Volume, Issue 3 Ver III (My - Ju 6), PP -5 wwwosrjourlsorg Ptters of Cotued Frctos wth Postve Iteger s G A Gm, S Krth (Mthemtcs, Govermet

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

Processing of Information with Uncertain Boundaries Fuzzy Sets and Vague Sets

Processing of Information with Uncertain Boundaries Fuzzy Sets and Vague Sets Processg of Iformato wth Ucerta odares Fzzy Sets ad Vage Sets JIUCHENG XU JUNYI SHEN School of Electroc ad Iformato Egeerg X'a Jaotog Uversty X'a 70049 PRCHIN bstract: - I the paper we aalyze the relatoshps

More information

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them.

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them. . CHAPTER 0 SEQUENCE, SERIES, d INDUCTION Secto 0. Seqece A lst of mers specfc order. E / Fd the frst terms : of the gve seqece: Aswer: Frst, I ll show how to fd the terms ltcll the I ll show how to se

More information

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek

More information

Several New Families of Jarratt s Method for Solving Systems of Nonlinear Equations

Several New Families of Jarratt s Method for Solving Systems of Nonlinear Equations Avlble t htt://vm.ed/m Al. Al. Mth. ISSN: 9-9 Vol. 8 Ie December. 7 7 Alcto d Aled Mthemtc: A Itertol Jorl AAM Severl New mle o Jrrtt Method or Solvg Stem o Noler Eqto V. Kwr* Uvert Ittte o Egeerg d echolog

More information

Isomorphism on Intuitionistic Fuzzy Directed Hypergraphs

Isomorphism on Intuitionistic Fuzzy Directed Hypergraphs Iteratoal Joral of Scetfc ad Research Pblcatos, Volme, Isse, March 0 ISSN 50-5 Isomorphsm o Ittostc Fzzy Drected Hypergraphs R.Parath*, S.Thlagaath*,K.T.Ataasso** * Departmet of Mathematcs, Vellalar College

More information

Fredholm Type Integral Equations with Aleph-Function. and General Polynomials

Fredholm Type Integral Equations with Aleph-Function. and General Polynomials Iteto Mthetc Fou Vo. 8 3 o. 989-999 HIKI Ltd.-h.co Fedho Te Iteg uto th eh-fucto d Gee Poo u J K.J. o Ittute o Mgeet tude & eech Mu Id u5@g.co Kt e K.J. o Ittute o Mgeet tude & eech Mu Id dehuh_3@hoo.co

More information

Introduction to mathematical Statistics

Introduction to mathematical Statistics Itroducto to mthemtcl ttstcs Fl oluto. A grou of bbes ll of whom weghed romtely the sme t brth re rdomly dvded to two grous. The bbes smle were fed formul A; those smle were fed formul B. The weght gs

More information

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions HK Km Slghtly moded //9 /8/6 Frstly wrtte t Mrch 5 Itertve Methods er Systems: Guss-Sedel Noler Systems Cse Study: Chemcl Rectos Itertve or ppromte methods or systems o equtos cosst o guessg vlue d the

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

Single Valued Neutrosophic Similarity Measures for Multiple Attribute Decision-Making

Single Valued Neutrosophic Similarity Measures for Multiple Attribute Decision-Making 48 Neutrosophc ets d ystems Vol. 2 204 gle Vlued Neutrosophc mlrty Mesures for Multple ttrbute Decso-Mkg Ju Ye d Qsheg Zhg 2 Deprtmet of Electrcl d formto Egeerg hog Uversty 508 Hucheg West Rod hog Zheg

More information

Chapter Unary Matrix Operations

Chapter Unary Matrix Operations Chpter 04.04 Ury trx Opertos After redg ths chpter, you should be ble to:. kow wht ury opertos mes,. fd the trspose of squre mtrx d t s reltoshp to symmetrc mtrces,. fd the trce of mtrx, d 4. fd the ermt

More information

To Determine the Characteristic Polynomial Coefficients Based On the Transient Response

To Determine the Characteristic Polynomial Coefficients Based On the Transient Response ICCAS Jue -, KINTEX, Gyeogg-Do, Kore To Determe the Chrctertc Polyoml Coeffcet Bed O the Tret Repoe Mohmmd Her d Mohmmd Sleh Tvzoe Advced Cotrol Sytem Lb., Electrcl Egeerg Deprtmet, Shrf Uverty of Techology,

More information

A stopping criterion for Richardson s extrapolation scheme. under finite digit arithmetic.

A stopping criterion for Richardson s extrapolation scheme. under finite digit arithmetic. A stoppg crtero for cardso s extrapoato sceme uder fte dgt artmetc MAKOO MUOFUSHI ad HIEKO NAGASAKA epartmet of Lbera Arts ad Sceces Poytecc Uversty 4-1-1 Hasmotoda,Sagamara,Kaagawa 229-1196 JAPAN Abstract:

More information

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11:

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11: Soo Kg Lm 1.0 Nested Fctorl Desg... 1.1 Two-Fctor Nested Desg... 1.1.1 Alss of Vrce... Exmple 1... 5 1.1. Stggered Nested Desg for Equlzg Degree of Freedom... 7 1.1. Three-Fctor Nested Desg... 8 1.1..1

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

Direct Partial Logic Derivatives in Analysis of Boundary States of Multi-State System

Direct Partial Logic Derivatives in Analysis of Boundary States of Multi-State System Drect Prtl Logc Dervtve Aly of Boudry Stte of Mult-Stte Sytem Ele Ztev Vtly Levheko Jozef Kotoly Mrolv Kvy Uverty of Zl Dertmet of Ifromtc Uverzt 825/ 00 26 Zl Slovk {ele.ztev vtly.levheko ozef.kotoly

More information

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1

Signal Recovery - Prof. S. Cova - Exam 2016/02/16 - P1 pag.1 gal Recovery - Pro.. Cova - Exam 06/0/6 - P pag. PROBEM Data ad Note Appled orce F rt cae: tep ple ecod cae: rectaglar ple wth drato p = 5m Pezoelectrc orce eor A q =0pC/N orce-to-charge covero C = 500pF

More information

Hypercyclic Functions for Backward and Bilateral Shift Operators. Faculty of Science, Ain Shams University, Cairo, Egypt 2 Department of Mathematics,

Hypercyclic Functions for Backward and Bilateral Shift Operators. Faculty of Science, Ain Shams University, Cairo, Egypt 2 Department of Mathematics, Jourl of themtcs d Sttstcs 5 (3):78-82, 29 ISSN 549-3644 29 Scece ublctos Hyercyclc Fuctos for Bcwrd d Blterl Shft Oertors N Fred, 2 ZA Hss d 3 A orsy Dertmet of themtcs, Fculty of Scece, A Shms Uversty,

More information

CURVE FITTING ON EMPIRICAL DATA WHEN BOTH VARIABLES ARE LOADED BY ERRORS

CURVE FITTING ON EMPIRICAL DATA WHEN BOTH VARIABLES ARE LOADED BY ERRORS TOME VI (ye 8) FASCICULE (ISSN 584 665) CURVE FITTING ON EMPIRICAL ATA WHEN BOTH VARIABLES ARE LOAE BY ERRORS ANRÁS NYĺRI LÁSZLÓ ÖNÖZSY Pofesso emets etmet of Fd d Het Egeeg Uvesty of Msoc H-55 Msoc-Egyetemváos

More information

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department CS473-Algorthms I Lecture 3 Solvg Recurreces Cevdet Aykt - Blket Uversty Computer Egeerg Deprtmet Solvg Recurreces The lyss of merge sort Lecture requred us to solve recurrece. Recurreces re lke solvg

More information

Numerical Solution of Higher Order Linear Fredholm Integro Differential Equations.

Numerical Solution of Higher Order Linear Fredholm Integro Differential Equations. Amerc Jorl of Egeerg Reserch (AJER) 04 Amerc Jorl of Egeerg Reserch (AJER) e-iss : 30-0847 p-iss : 30-0936 Volme-03, Isse-08, pp-43-47 www.jer.org Reserch Pper Ope Access mercl Solto of Hgher Order Ler

More information

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION St Joh s College UPPER V Mthemtcs: Pper Lerg Outcome d ugust 00 Tme: 3 hours Emer: GE Mrks: 50 Modertor: BT / SLS INSTRUCTIONS ND INFORMTION Red the followg structos crefull. Ths questo pper cossts of

More information

Identity of King and Flajolet & al. Formulae for LRU Miss Rate Exact Computation

Identity of King and Flajolet & al. Formulae for LRU Miss Rate Exact Computation detty of g ad laolet & al orlae for LRU M Rate Eact otato hrta BERTHET STMcroelectroc Greoble race Abtract Th hort aer gve a detaled roof of detty betwee two clac forla for the cotato of the eact M Rate

More information

EVALUATION OF PERFORMANCE MEASURES OF FMS Bottleneck Model. Part mix Mix of the various part or product styles produced by the system

EVALUATION OF PERFORMANCE MEASURES OF FMS Bottleneck Model. Part mix Mix of the various part or product styles produced by the system Natoal Ittute of Techology Calcut Deartmet of Mechacal Egeerg EVALUATION OF PERFORMANCE MEASURES OF FMS Bottleeck Model Provde tartg etmate of FMS deg arameter uch a roducto rate ad umber of worktato Bottleeck

More information

Research Article Fuzzy MADM Method for Power Customer Credit Evaluation

Research Article Fuzzy MADM Method for Power Customer Credit Evaluation Reserh Jor of Apped Sees, Egeerg d Tehoogy 7(5): 98-0, 04 DOI:0.906/rset.7.66 ISSN: 040-7459; e-issn: 040-7467 04 Mxwe Setf Pbto Corp. Sbtted: Noveber 04, 0 Aepted: Noveber, 0 Pbshed: Apr 9, 04 Reserh

More information

Chapter #2 EEE State Space Analysis and Controller Design

Chapter #2 EEE State Space Analysis and Controller Design Chpte EEE8- Chpte # EEE8- Stte Spce Al d Cotolle Deg Itodcto to tte pce Obevblt/Cotollblt Modle ede: D D Go - d.go@cl.c.k /4 Chpte EEE8-. Itodcto Ae tht we hve th ode te: f, ', '',.... Ve dffclt to td

More information

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

Solutions Manual for Polymer Science and Technology Third Edition

Solutions Manual for Polymer Science and Technology Third Edition Solutos ul for Polymer Scece d Techology Thrd Edto Joel R. Fred Uer Sddle Rver, NJ Bosto Idols S Frcsco New York Toroto otrel Lodo uch Prs drd Cetow Sydey Tokyo Sgore exco Cty Ths text s ssocted wth Fred/Polymer

More information

Available online through

Available online through Avlble ole through wwwmfo FIXED POINTS FOR NON-SELF MAPPINGS ON CONEX ECTOR METRIC SPACES Susht Kumr Moht* Deprtmet of Mthemtcs West Begl Stte Uverst Brst 4 PrgsNorth) Kolt 76 West Begl Id E-ml: smwbes@yhoo

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue, My 0 ISSN 0- A Techque for Costructg Odd-order Mgc Squres Usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDIA) tombrom@gml.com

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

Chapter Gauss-Seidel Method

Chapter Gauss-Seidel Method Chpter 04.08 Guss-Sedel Method After redg ths hpter, you should be ble to:. solve set of equtos usg the Guss-Sedel method,. reogze the dvtges d ptflls of the Guss-Sedel method, d. determe uder wht odtos

More information

Chapter 7. Bounds for weighted sums of Random Variables

Chapter 7. Bounds for weighted sums of Random Variables Chpter 7. Bouds for weghted sums of Rdom Vrbles 7. Itroducto Let d 2 be two depedet rdom vrbles hvg commo dstrbuto fucto. Htczeko (998 d Hu d L (2000 vestgted the Rylegh dstrbuto d obted some results bout

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

Section 7.2 Two-way ANOVA with random effect(s)

Section 7.2 Two-way ANOVA with random effect(s) Secto 7. Two-wy ANOVA wth rdom effect(s) 1 1. Model wth Two Rdom ffects The fctors hgher-wy ANOVAs c g e cosdered fxed or rdom depedg o the cotext of the study. or ech fctor: Are the levels of tht fctor

More information

The definite Riemann integral

The definite Riemann integral Roberto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 4 The defte Rem tegrl Wht you eed to kow lredy: How to ppromte the re uder curve by usg Rem sums. Wht you c ler here: How to use

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases Itertol Jourl of Advced Reserch Physcl Scece (IJARPS) Volume, Issue 5, September 204, PP 6-0 ISSN 2349-7874 (Prt) & ISSN 2349-7882 (Ole) www.rcourls.org Alytcl Approch for the Soluto of Thermodymc Idettes

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

Generalized Hybrid Grey Relation Method for Multiple Attribute Mixed Type Decision Making*

Generalized Hybrid Grey Relation Method for Multiple Attribute Mixed Type Decision Making* Geerlzed Hybrd Grey Relto Method for Multple Attrbute Med Type Decso Mkg Gol K Yuchol Jog Sfeg u b Ceter of Nturl Scece versty of Sceces Pyogyg DPR Kore b College of Ecoocs d Mgeet Ng versty of Aeroutcs

More information

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,

More information

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever.

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever. 9.4 Sequeces ad Seres Pre Calculus 9.4 SEQUENCES AND SERIES Learg Targets:. Wrte the terms of a explctly defed sequece.. Wrte the terms of a recursvely defed sequece. 3. Determe whether a sequece s arthmetc,

More information

GENESIS. God makes the world

GENESIS. God makes the world GENESIS 1 Go me he or 1 I he be Go me he b heve he erh everyh hh p he y. 2 There oh o he e erh. Noh ve here, oh *o ve here. There oy e eep er over he erh. There o h. I very r. The f Spr of Go move over

More information

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl Alyss for Egeers Germ Jord Uversty ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl soluto of lrge systems of ler lgerc equtos usg drect methods such s Mtr Iverse, Guss

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

Geometric Sequences. Geometric Sequence. Geometric sequences have a common ratio.

Geometric Sequences. Geometric Sequence. Geometric sequences have a common ratio. s A geometric sequece is sequece such tht ech successive term is obtied from the previous term by multiplyig by fixed umber clled commo rtio. Exmples, 6, 8,, 6,..., 0, 0, 0, 80,... Geometric sequeces hve

More information

Review of Linear Algebra

Review of Linear Algebra PGE 30: Forulto d Soluto Geosstes Egeerg Dr. Blhoff Sprg 0 Revew of Ler Alger Chpter 7 of Nuercl Methods wth MATLAB, Gerld Recktewld Vector s ordered set of rel (or cople) uers rrged s row or colu sclr

More information

On a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging

On a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt

More information

under the curve in the first quadrant.

under the curve in the first quadrant. NOTES 5: INTEGRALS Nme: Dte: Perod: LESSON 5. AREAS AND DISTANCES Are uder the curve Are uder f( ), ove the -s, o the dom., Prctce Prolems:. f ( ). Fd the re uder the fucto, ove the - s, etwee,.. f ( )

More information

Evaluating new varieties of wheat with the application of Vague optimization methods

Evaluating new varieties of wheat with the application of Vague optimization methods Evauatg ew varetes of wheat wth the appcato of Vague optmzato methods Hogxu Wag, FuJ Zhag, Yusheg Xu,3 Coege of scece ad egeerg, Coege of eectroc formato egeerg, Qogzhou Uversty, aya Haa 570, Cha. zfj5680@63.com,

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems [ype text] [ype text] [ype text] ISSN : 0974-7435 Volume 0 Issue 6 Boechology 204 Ida Joural FULL PPER BIJ, 0(6, 204 [927-9275] Research o scheme evaluato method of automato mechatroc systems BSRC Che

More information

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY)

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) Floet Smdche, Ph D Aocte Pofeo Ch of Deptmet of Mth & Scece Uvety of New Mexco 2 College Rod Gllup, NM 873, USA E-ml: md@um.edu

More information

1. a. Houston Chronicle, Des Moines Register, Chicago Tribune, Washington Post

1. a. Houston Chronicle, Des Moines Register, Chicago Tribune, Washington Post Homework Soluto. Houto Chrocle, De Moe Regter, Chcago Trbue, Wahgto Pot b. Captal Oe, Campbell Soup, Merrll Lych, Pultzer c. Bll Japer, Kay Reke, Hele Ford, Davd Meedez d..78,.44, 3.5, 3.04 5. No, the

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Surfaces II Lecture Series. Prof. G. Wang Department of Mechanical and Manufacturing Engineering University of Manitoba

Surfaces II Lecture Series. Prof. G. Wang Department of Mechanical and Manufacturing Engineering University of Manitoba Srfces II 5.5 Lectre Seres rof. G. Wg Dertmet of Mechcl d Mfctrg Egeerg Uversty of Mtob Tye of Srfces lr Srfce Bler Srfce Rled (lofted Srfce B-cbc srfce Bezer Srfce B-Sle Srfce B-Cbc Srfce tch B-Cbc Srfce

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map

More information

A Family of Generalized Stirling Numbers of the First Kind

A Family of Generalized Stirling Numbers of the First Kind Apped Mathematc, 4, 5, 573-585 Pubhed Oe Jue 4 ScRe. http://www.crp.org/oura/am http://d.do.org/.436/am.4.55 A Famy of Geerazed Strg Number of the Frt Kd Beh S. E-Deouy, Nabea A. E-Bedwehy, Abdefattah

More information

EVALUATING DEFINITE INTEGRALS

EVALUATING DEFINITE INTEGRALS Chpter 4 EVALUATING DEFINITE INTEGRALS If the defiite itegrl represets re betwee curve d the x-xis, d if you c fid the re by recogizig the shpe of the regio, the you c evlute the defiite itegrl. Those

More information

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y 4. Le Itegrls I ths secto we defe tegrl tht s smlr to sgle tegrl except tht sted of tegrtg over tervl [ ] we tegrte over curve. Such tegrls re clled le tegrls lthough curve tegrls would e etter termology.

More information

Coding Theorems on New Fuzzy Information Theory of Order α and Type β

Coding Theorems on New Fuzzy Information Theory of Order α and Type β Progress Noear yamcs ad Chaos Vo 6, No, 28, -9 ISSN: 232 9238 oe Pubshed o 8 February 28 wwwresearchmathscorg OI: http://ddoorg/22457/pdacv6a Progress Codg Theorems o New Fuzzy Iormato Theory o Order ad

More information

Analysis of error propagation in profile measurement by using stitching

Analysis of error propagation in profile measurement by using stitching Ay o error propgto proe eureet y ug ttchg Ttuy KUME, Kzuhro ENAMI, Yuo HIGASHI, Kej UENO - Oho, Tuu, Ir, 35-8, JAPAN Atrct Sttchg techque whch ee oger eureet rge o proe ro eer eure proe hg prty oerppe

More information

A New Method for Decision Making Based on Soft Matrix Theory

A New Method for Decision Making Based on Soft Matrix Theory Joural of Scetfc esearch & eports 3(5): 0-7, 04; rtcle o. JS.04.5.00 SCIENCEDOMIN teratoal www.scecedoma.org New Method for Decso Mag Based o Soft Matrx Theory Zhmg Zhag * College of Mathematcs ad Computer

More information

Trignometric Inequations and Fuzzy Information Theory

Trignometric Inequations and Fuzzy Information Theory Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,

More information

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector evel-2 BS trx-vector opertos wth 2 opertos sequetlly BS-Notto: S --- sgle precso G E geerl mtrx V --- vector defes SGEV, mtrx-vector product: r y r α x β r y ther evel-2 BS: Solvg trgulr system x wth trgulr

More information

On the periodic continued radicals of 2 and generalization for Vieta s product

On the periodic continued radicals of 2 and generalization for Vieta s product O the erodc cotued radcal of ad geeralzato for Veta roduct Jayatha Seadheera ayathaeadheera@gmalcom Abtract I th aer we tudy erodc cotued radcal of We how that ay erodc cotued radcal of coverge to q, for

More information

D KL (P Q) := p i ln p i q i

D KL (P Q) := p i ln p i q i Cheroff-Bouds 1 The Geeral Boud Let P 1,, m ) ad Q q 1,, q m ) be two dstrbutos o m elemets, e,, q 0, for 1,, m, ad m 1 m 1 q 1 The Kullback-Lebler dvergece or relatve etroy of P ad Q s defed as m D KL

More information

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )):

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )): x, t ), h x The Frst-Order Wave Eqato The frst-order wave advecto) eqato s c > 0) t + c x = 0, x, t = 0) = 0x). The solto propagates the tal data 0 to the rght wth speed c: x, t) = 0 x ct). Ths Rema varat

More information

Generalization of the Dissimilarity Measure of Fuzzy Sets

Generalization of the Dissimilarity Measure of Fuzzy Sets Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra

More information

Module 1 : The equation of continuity. Lecture 5: Conservation of Mass for each species. & Fick s Law

Module 1 : The equation of continuity. Lecture 5: Conservation of Mass for each species. & Fick s Law Module : The equato of cotuty Lecture 5: Coservato of Mass for each speces & Fck s Law NPTEL, IIT Kharagpur, Prof. Sakat Chakraborty, Departmet of Chemcal Egeerg 2 Basc Deftos I Mass Trasfer, we usually

More information

Linear Algebra Concepts

Linear Algebra Concepts Ler Algebr Cocepts Ke Kreutz-Delgdo (Nuo Vscocelos) ECE 75A Wter 22 UCSD Vector spces Defto: vector spce s set H where ddto d sclr multplcto re defed d stsf: ) +( + ) (+ )+ 5) l H 2) + + H 6) 3) H, + 7)

More information

Strategies for the AP Calculus Exam

Strategies for the AP Calculus Exam Strteges for the AP Clculus Em Strteges for the AP Clculus Em Strtegy : Kow Your Stuff Ths my seem ovous ut t ees to e metoe. No mout of cochg wll help you o the em f you o t kow the mterl. Here s lst

More information

MULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION BASED ON EXPERTS STATEMENTS. Gennadiy Lbov, Maxim Gerasimov

MULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION BASED ON EXPERTS STATEMENTS. Gennadiy Lbov, Maxim Gerasimov Iteratoal Boo Seres "Iformato Scece ad Computg" 97 MULTIIMNSIONAL HTROGNOUS VARIABL PRICTION BAS ON PRTS STATMNTS Geady Lbov Maxm Gerasmov Abstract: I the wors [ ] we proposed a approach of formg a cosesus

More information

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets Modfed ose mlarty Measure betwee Itutostc Fuzzy ets hao-mg wag ad M-he Yag,* Deartmet of led Mathematcs, hese ulture Uversty, Tae, Tawa Deartmet of led Mathematcs, hug Yua hrsta Uversty, hug-l, Tawa msyag@math.cycu.edu.tw

More information

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs Iteratoal Joural of Egeerg Scece Iveto ISSN (Ole): 9 7, ISSN (Prt): 9 7 www.jes.org Volume Issue 0ǁ October. 0 ǁ PP.0-7 K-Eve Edge-Graceful Labelg of Some Cycle Related Grahs Dr. B. Gayathr, S. Kousalya

More information

MODELLING OF INTERFACIAL AREA TRANSPORT IN THE JRC "ATFM" CODE

MODELLING OF INTERFACIAL AREA TRANSPORT IN THE JRC ATFM CODE STR Iteto Wokho o "vce mec Metho fo Mtmeo Smto of Twohe Fow", Seteme 5-6,, GRS Gch, Gemy MODELLIG OF ITERFCIL RE TRSPORT I THE JRC "TFM" CODE B. Woth, H. Stätke, G. Fcheo Commo of the Eoe Commte Jot Reech

More information

Chapter Newton-Raphson Method of Solving Simultaneous Nonlinear Equations

Chapter Newton-Raphson Method of Solving Simultaneous Nonlinear Equations Chapter 7 Newto-Rapho Method o Solg Smltaeo Nolear Eqato Ater readg th chapter o hold be able to: dere the Newto-Rapho method ormla or mltaeo olear eqato deelop the algorthm o the Newto-Rapho method or

More information

2.160 System Identification, Estimation, and Learning Lecture Notes No. 17 April 24, 2006

2.160 System Identification, Estimation, and Learning Lecture Notes No. 17 April 24, 2006 .6 System Idetfcato, Estmato, ad Learg Lectre Notes No. 7 Aprl 4, 6. Iformatve Expermets. Persstece of Exctato Iformatve data sets are closely related to Persstece of Exctato, a mportat cocept sed adaptve

More information

Scalability analysis of matrix-matrix multiplication on heterogeneous clusters*

Scalability analysis of matrix-matrix multiplication on heterogeneous clusters* Scbty yss of mtrx-mtrx mutcto o heterogeeous custers* Aexey Kov Isttute for System Progrmmg of Russ Acdemy of Sceces 5, Boshy Kommustchesky str, Moscow 945, Russ k@ssru Abstrct The er s devoted to scbty

More information

Multiple Choice Test. Chapter Adequacy of Models for Regression

Multiple Choice Test. Chapter Adequacy of Models for Regression Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to

More information

ECE570 Lecture 14: Qualitative Physics

ECE570 Lecture 14: Qualitative Physics ECE570 Lecture 14: Quttve Physcs Jeffrey Mrk Sskd Sch f Eectrc d Cmuter Egeerg F 2017 Sskd (Purdue ECE) ECE570 Lecture 14: Quttve Physcs F 2017 1 / 20 A Physc System Sskd (Purdue ECE) ECE570 Lecture 14:

More information