Keywords: complete graph, coloursignlesslaplacian matrix, coloursignlesslaplacian energy of a graph.
|
|
- Maryann Byrd
- 5 years ago
- Views:
Transcription
1 Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs Avalable ole at ISSN (Prt): , ISSN (Ole): , ISSN (CD-ROM): AIJRSTEM s a refereed, dexed, peer-revewed, multdscplary ad ope access joural publshed by Iteratoal Assocato of Scetfc Iovato ad Research (IASIR), USA (A Assocato Ufyg the Sceces, Egeerg, ad Appled Research) RELATION BETWEEN COLOUR LAPLACIAN ENERGY AND COLOUR SIGNLESS LAPLACIAN ENERGY OF A COMPLETE GRAPH K. Ameeal Bb 1, B. Vjayalakshm, M. Malath 3 Departmet of Mathematcs D.K.M College for Wome (Autoomous), Vellore, Tamladu, Ida Abstract: Let G be a smple, fte, coected ad udrected graph of order ad sze m. Let λ 1, λ,...,λ be the egevalues of the colour adjacecy matrx of G, ad let µ 1, µ,...,µ be the egevalues of the colour Laplaca matrx. The, the coloursglesslaplaca eergy of G s defed as LE + C (G) = m, where m s the average degree of the graph G. I ths paper, we foud the relato betwee colourlaplaca eergy ad coloursglesslaplaca eergy of complete graph ad also attaed ther bouds. Keywords: complete graph, coloursglesslaplaca matrx, coloursglesslaplaca eergy of a graph. I. Itroducto Let G be a smple, fte, coected ad udrected graph wth vertex set V(G)={v 1,v,.v } ad edges E(G) = {e 1,e, e m}. Let A(G) ad D(G) be the adjacecy matrx ad the dagoal matrx wth the vertex degrees of the graph G o the dagoal respectvely. The matrces L(G) = D(G) A(G) ad L + (G) = D(G) + A(G) are the sglesslaplaca matrces of the graph G. For more results o the spectral propertes of sglesslaplaca matrx, oe may refer to [1],[],[3],[4],[5],[6],[7]. Let {µ 1,µ,...µ } be the sglessege values of the graph G. m The sglesslaplaca eergy [8] of the graph G s defed as LE + (G)=. A colourg of a graph G s a assgmet of colours to ts vertces such that o two adjacet vertces share the same colour. The mmum umber of colours eeded for the colourg of a graph G s called the chromatc umber of G ad s deoted by χ(g). Let G be a coloured graph. The etres of the colour adjacecy matrx A C(G) are as follows: If C(v ) s the colour of vertex v, the 1, f v ad v j are adjacet wth C(v ) C(v j ) a j = { 1, f v ad v j are o adjacet wth C(v ) = C(v j ) 0, otherwse The ege values {λ 1,λ,...λ } of A C(G) are called the colourege values of G. The colour eergy of a graph deoted by E C(G) s defed as the sum of the absolute values of the coloursglessege values of G,.e., E C(G)=. I 013,ch.Adga, E.Sampathkumar, M.A.Srraj ad A.S.shrkath [17],[18] have studed the eergy of the coloured graph G. II Prelmares A. Proper colourg of a graph A proper colourg of a graph s a assgmet of colours to the vertces of the graph so that o two adjacet vertces have the same colour. B.Complete graph A complete graph s a graph whch each par of graph vertces s coected by a edge. The assgmet of colours to the vertces of the complete graph are dfferet to each other. A complete graph k of vertces requres colours. So the chromatc umber of the complete graph k s. AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 08
2 Bb et al., Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs, 3(1), Jue-August, 018, pp C. Laplaca matrx Let G be a graph wth order ad sze m. The Laplaca matrx of the graph G s deoted by L = (Lj) s a square matrx defed by L j= { 1, f v ad v j are adjacet 0, f v ad v j are o adjacet d, f v = v j Where d s the degree of the vertex v. D.Laplaca eergy Let G be a coected graph of order wth Laplaca egevalues μ 1 μ μ -1 μ = 0. The Laplaca s symmetrc postve semdefte. The Laplaca eergy of the graph m G s defed as LE(G) =. E.Sglesslaplaca matrx For a gve graph,the matrx Q = D + A s called the sglesslaplaca matrx, where A s the adjacecy matrx ad D s the dagoal matrx of vertex degrees d. F.Colourlaplaca eergy The colourlaplaca matrx of G s defed as L C(G) = D(G) - A C(G). The ege values {µ 1,µ,...µ } of L C(G) are called colourlaplacaege values of the graph G. m The colourlaplaca eergy of G deoted by LE C(G) =. G.Coloursglesslaplaca eergy Let G be a coloured graph o vertces ad m edges. We defed the coloursglesslaplaca matrx of G as L + C (G) = D(G) + A C(G). The ege values {µ + 1,µ +,...µ + } of L + C (G) are called coloursglesslaplacaege values of the graph G. Let G be a coloured graph of order ad sze m. The the coloursglesslaplaca eergy of G, deoted by m LE + C (G) =. H. Spectrum of G The set of graph ege values of the adjacecy matrx s called the spectrum of the graph. I.Colour spectrum of G The sum of the absolute values of the dstct colourege values of A C(G) areif μ 1 > μ > μ -1>μ r, r wth ther multplctes are m 1,m,...m r s defed as color spectrum of G s wrtte by Spec c(g)={ μ 1, μ,. μ r m 1, m,. m r }. J.Colourlaplaca spectrum of G If μ 1 > μ > μ -1>μ r, r are the dstct colourlaplacaege values of coloured graph wth ther multplctes are m 1,m,...m r s defed as colourlaplaca spectrum of a graph G s wrtte as LSpec c(g)={ μ 1, μ,. μ r m 1, m,. m r } color spectrum of G. III Results A. Lemma: If {λ 1, λ } s the colour spectrum of a k-regular graph G, the { k λ, k λ -1, k λ 1} s the colourlaplaca spectrum of G. B. Lemma:If the graph G s regular, the LE C (G) = E C (G). C. Lemma: For, the colour Laplaca Eergy of complete graph s (-1). D. Lemma:If {λ 1, λ,...,λ } s the colour spectrum of a k- regular graph G, the {k +λ 1, k +λ,..., k +λ } s the coloursgless Laplaca spectrum of G. AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 09
3 Bb et al., Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs, 3(1), Jue-August, 018, pp IV Relato betwee colourlaplaca eergy ad coloursglesslaplaca eergy of a complete graph. Each vertex colour of a complete graph are dfferet because they are adjacet wth each other, so the chromatc umber of complete graph s. Cosder complete graph K 5 whch s gve below: The colourlaplaca matrx of k 5 s as follows: L C(k 5) = Fg() G=K5 The characterstc equato s μ(µ 5) 5 = 0. The ege values of k 5 are 0, 5, 5, 5, 5,5. The coloursglesslaplaca matrx for complete graph K 5 s L + C (k 5) = The Characterstc equato s (µ-3) 4 (µ-8)=0 The ege values are µ + = 3(4 tmes), µ + = 8 cosder the followg graph K 6 : Fg() G=k6 AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 10
4 Bb et al., Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs, 3(1), Jue-August, 018, pp The colourlaplaca matrx of k 6 as follows : L C(k 6) = The characterstc equato s μ(μ 6) 5 =0 The ege values are 0, 6, 6, 6, 6, 6 The coloursglesslaplaca matrx of k 6 s as follows : L C+ (k 6) = The Characterstc equato s (µ - 4) 5 (µ -10) = 0 The ege values are µ = 4 (5 tmes), µ=10 Cotug the above process, the colourlaplaca matrx of complete graphk s L C(k ) = The characterstc equato s sμ(μ ) 1 = 0. The ege values are 0, (-1) tmes The sglesscolourlaplaca matrx of complete graph k s as follows : L + C (k 6) = The characterstc equato s (µ - (-1)) -1 (µ - (-1)) = 0 The ege values are [-1](-1) tmes, (-1) Hece the average degree of complete graph s -1. The Colour Laplaca Eergy of complete graph s L C(k ) = 0 ( 1) + ( 1) ( 1) = = - = ( - 1). L C+ (k ) = ( ) ( 1) ( 1) + ( 1) = AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 11
5 Bb et al., Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs, 3(1), Jue-August, 018, pp = = ( 1). Thus, the colour Laplaca Eergy ad sgless color Laplaca Eergy of the complete graph k are the same ad t s equal to (-1). V. Bouds for colour eergy of graphs: I ths secto, we preseted some ew bouds for the colour eergy of a graph terms of Zagreb dex Z g(g), laplaca eergy LE(G) ad the sglesslaplaca eergy LE + (G). Bouds for colour eergy terms of zagreb dex: For a graph G of order ad sze m havg d as the degree of the th vertex We kow that =1 d = m (1) the Zagreb dex s Z g (G) = =1 d () Bouds for colour eergy terms of laplaca eergy ad sglesslaplaca eergy: I ths secto, we preseted some bouds for colour eergy terms of laplaca eergy ad the sglesslaplaca eergy. The followg results proved by Abreuetal.(see [1]). LE + (G) E(G) + Z g (G) 4m (3) LE + (G) LE(G) E(G) (4) 5.1 Theorem Let G be a graph wth order ad sze m. Let σ 1 σ σ be the absolute colour laplaca ege values of G. If σ 1 s repeated (-1) tmes the σ 1 1 ( ( 1 ) + (d 1 (G)) ( 1) =1 ( 1) = σ ) 1 Proof: Here we compare the absolute colourlaplacaege values of G wth the absolute ege values of the graph H=( 1 ). ( 1) (, 1 ) Select ad 1 such that =(-1)[+( 1)]. The umber of vertces of H s ad the umber of edges s (-1)()( 1 ). Its absolute values of ege values spectrum s By Cauchy s Schwarz equalty, σ 1 ( 1) + + σ 1 ( 1) But σ 1 = σ = = σ 1 0 ) ( 1) ( ( 1)) ( ( 1) + σ ( 1) + + σ ( 1) ( 1) m + =1 + σ 1 (0) +σ (0) (d (G)) )( 1)()( 1 σ 1 ( 1) ( 1) + ( 1) ( 1) = σ m + (d (G)) )( 1)()( 1 =1 ( 1) σ σ 1 ( 1) + = m + =1 (d (G)) )( 1) σ 1 1 m + (d 1 (G)) ( 1) =1 )( 1) = 1 σ ) ) AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 1
6 Bb et al., Amerca Iteratoal Joural of Research Scece, Techology, Egeerg & Mathematcs, 3(1), Jue-August, 018, pp Refereces [1] N. Abreu et al., Bouds for the sgless Laplaca eergy, Lear Algebra ad ts Applcatos (011). [] C. Adga et al., Color eergy of a graph, Proc. Jagjeo Math. Soc., 16 (013), [3] Balakrsha. R, The eergy of a graph, Lear Algebra ad ts applcatos(004) [4] Bapat R. B.,Pat S, Eergy of a graph s ever a odd teger. Bull.Kerala Math. Assoc. 1, (011). [5] Bo Zhou, Eergy of a graph, MATCH commu. Math. Chem. 51(004), [6] Bo Zhou ad Iva Gutma, O Laplaca eergy of a graph, Match,commu. Math. Comput. Chem. 57(007) [7] Bo Zhou, More o Eergy ad Laplaca Eergy Math. Commu. Math.,Comput. Chem.64(010) [8] Bo Zhou ad Iva Gutma, O Laplaca eergy of a graph, Lear algebra ad ts applcatos, 414(006) [9] G. Chartrad ad P. Zhag, Chromatc Graph Theory, CRC Press, New York (009). [10] D. M. Cvetkov c et al., Spectra of Graphs- Theory ad Applcato, Academc Press, New York (1980). [11] Cvetkov c.d, Doob M, Sachs H, Spectra of graphs - Theory ad applcatos, Academc Press, New York [1] FathTabar G.H, Ashraf A.R. I. Gutma, Note o Laplaca Eergy of graphs, class Bullet T(XXXVII de l AcademcsSerbe desscec,etdesarts(008). [13] Germa K.A, Shahul Hameed K, Thomas Zaslavsky, O products ad le graphs, ther egevalues ad eergy, Lear Algebra ad ts applcatos 435(011) [14] Gholam Hosse, Fath - Tabar ad Al Reza Asharf, Some remarks o Laplaca ege values ad Laplaca eergy of graphs, Math. [15] I. Gutma, The eergy of a graph, Ber. Math. Stat. Sekt. Forschugsz. Graz, 103, (1978), 1-. [16] G. Idulal et al., O dstace eergy of graphs, MATCH Commu. Math. Comuput.,Chem., 60 (008), [17] P. B. Josh ad M. Joseph ( press). Further results o color eergy of graphs. Act, UverstatsSapetae, Iformatca. [18] pradeepg.bhat ad Sabtha D Souza Colourlaplaca eergy of a graphs. Proceedgs of the jageo mathematcal socety, 18(015),No,3 pp [19] Srdhara G, M.R.Rajeshkama, bouds o eergy ad laplaca eergy of graphs, Math. [0] X. L et al., Graph Eergy, Sprger, New York (01). [1] D. B. West, Itroducto to Graph Theory, Pearso, New Jersey (001). AIJRSTEM ; 018, AIJRSTEM All Rghts Reserved Page 13
AT MOST EDGE 3 - SUM CORDIAL LABELING FOR SOME GRAPHS THE STANDARD
Iteratoal Joural o Research Egeerg ad Appled Sceces IJREAS) Avalable ole at http://euroasapub.org/ourals.php Vol. x Issue x, July 6, pp. 86~96 ISSNO): 49-395, ISSNP) : 349-655 Impact Factor: 6.573 Thomso
More informationVertex Odd Divisor Cordial Labeling of Graphs
IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue 0, October 0. www.jset.com Vertex Odd Dvsor Cordal Labelg of Graphs ISSN 48 68 A. Muthaya ad P. Pugaleth Assstat Professor, P.G.
More informationInternational Mathematical Forum, 1, 2006, no. 31, ON JONES POLYNOMIALS OF GRAPHS OF TORUS KNOTS K (2, q ) Tamer UGUR, Abdullah KOPUZLU
Iteratoal Mathematcal Forum,, 6, o., 57-54 ON JONES POLYNOMIALS OF RAPHS OF TORUS KNOTS K (, q ) Tamer UUR, Abdullah KOPUZLU Atatürk Uverst Scece Facult Dept. of. Math. 54 Erzurum, Turkey tugur@atau.edu.tr
More informationEight Solved and Eight Open Problems in Elementary Geometry
Eght Solved ad Eght Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew eght prevous proposed ad solved problems of elemetary
More informationEight Solved and Eight Open Problems in Elementary Geometry
Eght Solved ad Eght Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew eght prevous proposed ad solved problems of elemetary
More informationSome Results on Vertex Equitable Labeling
Ope Joural of Dscrete Mathematcs, 0,, 5-57 http://dxdoorg/0436/odm0009 Publshed Ole Aprl 0 (http://wwwscrporg/oural/odm) Some Results o Vertex Equtable Labelg P Jeyath, A Maheswar Research Cetre, Departmet
More informationEDGE- ODD Gracefulness of the Tripartite Graph
EDGE- ODD Graceuless o the Trpartte Graph C. Vmala, A. Saskala, K. Ruba 3, Asso. Pro, Departmet o Mathematcs, Peryar Maamma Uversty, Vallam, Thajavur Post.. Taml Nadu, Ida. 3 M. Phl Scholar, Departmet
More informationNine Solved and Nine Open Problems in Elementary Geometry
Ne Solved ad Ne Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew e prevous proposed ad solved problems of elemetary D geometry
More informationNew Results on Energy of Graphs of Small Order
Global Joural of Pure ad Applied Mathematics. ISSN 0973-1768 Volume 13, Number 7 (2017), pp. 2837-2848 Research Idia Publicatios http://www.ripublicatio.com New Results o Eergy of Graphs of Small Order
More informationCubic fuzzy H-ideals in BF-Algebras
OSR Joural of Mathematcs (OSR-JM) e-ssn: 78-578 p-ssn: 39-765X Volume ssue 5 Ver (Sep - Oct06) PP 9-96 wwwosrjouralsorg Cubc fuzzy H-deals F-lgebras Satyaarayaa Esraa Mohammed Waas ad U du Madhav 3 Departmet
More informationBiconnected Components
Presetato for use wth the textbook, Algorthm Desg ad Applcatos, by M. T. Goodrch ad R. Tamassa, Wley, 2015 Bcoected Compoets SEA PVD ORD FCO SNA MIA 2015 Goodrch ad Tamassa Bcoectvty 1 Applcato: Networkg
More informationFor all questions, answer choice E) NOTA" means none of the above answers is correct. A) 50,500 B) 500,000 C) 500,500 D) 1,001,000 E) NOTA
For all questos, aswer choce " meas oe of the above aswers s correct.. What s the sum of the frst 000 postve tegers? A) 50,500 B) 500,000 C) 500,500 D),00,000. What s the sum of the tegers betwee 00 ad
More informationOn Characteristic Polynomial of Directed Divisor Graphs
Iter. J. Fuzzy Mathematical Archive Vol. 4, No., 04, 47-5 ISSN: 30 34 (P), 30 350 (olie) Published o April 04 www.researchmathsci.org Iteratioal Joural of V. Maimozhi a ad V. Kaladevi b a Departmet of
More informationRelationship between augmented eccentric connectivity index and some other graph invariants
Iteratioal Joural of Advaced Mathematical Scieces, () (03) 6-3 Sciece Publishig Corporatio wwwsciecepubcocom/idexphp/ijams Relatioship betwee augmeted eccetric coectivity idex ad some other graph ivariats
More informationA PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS
ISSN: 39-8753 Iteratoal Joural of Iovatve Research Scece, Egeerg ad Techology A ISO 397: 7 Certfed Orgazato) Vol. 3, Issue, Jauary 4 A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS
More informationA study on Interior Domination in Graphs
IOSR Joural of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 219-765X. Volume 12, Issue 2 Ver. VI (Mar. - Apr. 2016), PP 55-59 www.iosrjourals.org A study o Iterior Domiatio i Graphs A. Ato Kisley 1,
More information1-D matrix method. U 4 transmitted. incident U 2. reflected U 1 U 5 U 3 L 2 L 3 L 4. EE 439 matrix method 1
-D matrx method We ca expad the smple plae-wave scatterg for -D examples that we ve see to a more versatle matrx approach that ca be used to hadle may terestg -D problems. The basc dea s that we ca break
More informationMINIMUM COVERING SEIDEL ENERGY OF A GRAPH
J. Idoes. Math. Soc. Vol., No. 1 (016, pp. 71 8. MINIMUM COVERING SEIDEL ENERGY OF A GRAPH M. R. Rajesh Kaa 1, R. Jagadeesh, Mohammad Reza Farahai 3 1 Post Graduate Departmet of Mathematics, Maharai s
More informationBezier curves. 1. Defining a Bezier curve. A closed Bezier curve can simply be generated by closing its characteristic polygon
Curve represetato Copyrght@, YZU Optmal Desg Laboratory. All rghts reserved. Last updated: Yeh-Lag Hsu (--). Note: Ths s the course materal for ME55 Geometrc modelg ad computer graphcs, Yua Ze Uversty.
More informationOn a Sufficient and Necessary Condition for Graph Coloring
Ope Joural of Dscrete Matheatcs, 04, 4, -5 Publshed Ole Jauary 04 (http://wwwscrporg/joural/ojd) http://dxdoorg/0436/ojd04400 O a Suffcet ad Necessary Codto for raph Colorg Maodog Ye Departet of Matheatcs,
More informationArea and Power Efficient Modulo 2^n+1 Multiplier
Iteratoal Joural of Moder Egeerg Research (IJMER) www.jmer.com Vol.3, Issue.3, May-Jue. 013 pp-137-1376 ISSN: 49-6645 Area ad Power Effcet Modulo ^+1 Multpler K. Ptambar Patra, 1 Saket Shrvastava, Sehlata
More informationSum-connectivity indices of trees and unicyclic graphs of fixed maximum degree
1 Sum-coectivity idices of trees ad uicyclic graphs of fixed maximum degree Zhibi Du a, Bo Zhou a *, Nead Triajstić b a Departmet of Mathematics, South Chia Normal Uiversity, uagzhou 510631, Chia email:
More informationLecture 2: Spectra of Graphs
Spectral Graph Theory ad Applicatios WS 20/202 Lecture 2: Spectra of Graphs Lecturer: Thomas Sauerwald & He Su Our goal is to use the properties of the adjacecy/laplacia matrix of graphs to first uderstad
More informationA RELATIONSHIP BETWEEN BOUNDS ON THE SUM OF SQUARES OF DEGREES OF A GRAPH
J. Appl. Math. & Computig Vol. 21(2006), No. 1-2, pp. 233-238 Website: http://jamc.et A RELATIONSHIP BETWEEN BOUNDS ON THE SUM OF SQUARES OF DEGREES OF A GRAPH YEON SOO YOON AND JU KYUNG KIM Abstract.
More informationStrong Complementary Acyclic Domination of a Graph
Aals of Pure ad Applied Mathematics Vol 8, No, 04, 83-89 ISSN: 79-087X (P), 79-0888(olie) Published o 7 December 04 wwwresearchmathsciorg Aals of Strog Complemetary Acyclic Domiatio of a Graph NSaradha
More informationFitting. We ve learned how to detect edges, corners, blobs. Now what? We would like to form a. compact representation of
Fttg Fttg We ve leared how to detect edges, corers, blobs. Now what? We would lke to form a hgher-level, h l more compact represetato of the features the mage b groupg multple features accordg to a smple
More informationOffice Hours. COS 341 Discrete Math. Office Hours. Homework 8. Currently, my office hours are on Friday, from 2:30 to 3:30.
Oce Hours Curretly, my oce hours are o Frday, rom :30 to 3:30. COS 31 Dscrete Math 1 Oce Hours Curretly, my oce hours are o Frday, rom :30 to 3:30. Nobody seems to care. Chage oce hours? Tuesday, 8 PM
More informationCOMSC 2613 Summer 2000
Programmg II Fal Exam COMSC 63 Summer Istructos: Name:. Prt your ame the space provded Studet Id:. Prt your studet detfer the space Secto: provded. Date: 3. Prt the secto umber of the secto whch you are
More informationA New Approach for Reconstructed B-spline Surface Approximating to Scattered Data Points. Xian-guo CHENG
2016 Iteratoal Coferece o Computer, Mechatrocs ad Electroc Egeerg (CMEE 2016 ISBN: 978-1-60595-406-6 A New Approach for Recostructed B-sple Surface Approxmatg to Scattered Data Pots Xa-guo CHENG Ngbo Uversty
More informationOn (K t e)-saturated Graphs
Noame mauscript No. (will be iserted by the editor O (K t e-saturated Graphs Jessica Fuller Roald J. Gould the date of receipt ad acceptace should be iserted later Abstract Give a graph H, we say a graph
More informationJournal of Mathematical Nanoscience. Vertex weighted Laplacian graph energy and other topological indices
Joural of Mathematical Naosciece 6 (1-2) (2016) 57 65 Joural of Mathematical Naosciece Available Olie at: http://jmathao.sru.ac.ir Vertex weighted Laplacia graph eergy ad other topological idices Reza
More informationBeijing University of Technology, Beijing , China; Beijing University of Technology, Beijing , China;
d Iteratoal Coferece o Machery, Materals Egeerg, Chemcal Egeerg ad Botechology (MMECEB 5) Research of error detecto ad compesato of CNC mache tools based o laser terferometer Yuemg Zhag, a, Xuxu Chu, b
More informationDescriptive Statistics: Measures of Center
Secto 2.3 Descrptve Statstcs: Measures of Ceter Frequec dstrbutos are helpful provdg formato about categorcal data, but wth umercal data we ma wat more formato. Statstc: s a umercal measure calculated
More informationMachine Learning: Algorithms and Applications
/03/ Mache Learg: Algorthms ad Applcatos Florao Z Free Uversty of Boze-Bolzao Faculty of Computer Scece Academc Year 0-0 Lecture 3: th March 0 Naïve Bayes classfer ( Problem defto A trag set X, where each
More informationA new approach based in mean and standard deviation for authentication system of face
M. Fedas, D. Sagaa A ew approach based mea ad stadard devato for authetcato system of face M. Fedas 1, D. Sagaa 2 Abstract Face authetcato s a sgfcat problem patter recogto. The face s ot rgd t ca udergo
More informationOn Spectral Theory Of K-n- Arithmetic Mean Idempotent Matrices On Posets
Iteratioal Joural of Sciece, Egieerig ad echology Research (IJSER), Volume 5, Issue, February 016 O Spectral heory Of -- Arithmetic Mea Idempotet Matrices O Posets 1 Dr N Elumalai, ProfRMaikada, 3 Sythiya
More informationOptimal Allocation of Complex Equipment System Maintainability
Optmal Allocato of Complex Equpmet System ataablty X Re Graduate School, Natoal Defese Uversty, Bejg, 100091, Cha edcal Protecto Laboratory, Naval edcal Research Isttute, Shagha, 200433, Cha Emal:rexs841013@163.com
More informationJournal of Mathematical Nanoscience. Sanskruti Index of Bridge Graph and Some Nanocones
Joural of Mathematical Naoscieese 7 2) 2017) 85 95 Joural of Mathematical Naosciece Available Olie at: http://jmathaosrttuedu Saskruti Idex of Bridge Graph ad Some Naocoes K Pattabirama * Departmet of
More informationAdaptive Clustering Algorithm for Mining Subspace Clusters in High-Dimensional Data Stream *
ISSN 673-948 CODEN JKYTA8 E-mal: fcst@vp.63.com Joural of Froters of Computer Scece ad Techology http://www.ceaj.org 673-948/200/04(09)-0859-06 Tel: +86-0-566056 DOI: 0.3778/j.ss.673-948.200.09.009 *,2,
More informationSelf-intersection Avoidance for 3-D Triangular Mesh Model
Self-tersecto Avodace for 3-D Tragular Mesh Model Habtamu Masse Aycheh 1) ad M Ho Kyug ) 1) Departmet of Computer Egeerg, Ajou Uversty, Korea, ) Departmet of Dgtal Meda, Ajou Uversty, Korea, 1) hab01@ajou.ac.kr
More informationA Note on Chromatic Transversal Weak Domination in Graphs
Iteratioal Joural of Mathematics Treds ad Techology Volume 17 Number 2 Ja 2015 A Note o Chromatic Trasversal Weak Domiatio i Graphs S Balamuruga 1, P Selvalakshmi 2 ad A Arivalaga 1 Assistat Professor,
More informationLP: example of formulations
LP: eample of formulatos Three classcal decso problems OR: Trasportato problem Product-m problem Producto plag problem Operatos Research Massmo Paolucc DIBRIS Uversty of Geova Trasportato problem The decso
More informationA Web Mining Based Network Personalized Learning System Hua PANG1, a, Jian YU1, Long WANG2, b
3rd Iteratoal Coferece o Machery, Materals ad Iformato Techology Applcatos (ICMMITA 05) A Web Mg Based Network Persoalzed Learg System Hua PANG, a, Ja YU, Log WANG, b College of Educato Techology, Sheyag
More informationEnergy of Complete Fuzzy Labeling Graph through Fuzzy Complete Matching
Energy of Complete Fuzzy Labeling Graph through Fuzzy Complete Matching S. Yahya Mohamad #1, S.Suganthi *2 1 PG & Research Department of Mathematics Government Arts College, Trichy-22, Tamilnadu, India
More informationChapter 3 Descriptive Statistics Numerical Summaries
Secto 3.1 Chapter 3 Descrptve Statstcs umercal Summares Measures of Cetral Tedecy 1. Mea (Also called the Arthmetc Mea) The mea of a data set s the sum of the observatos dvded by the umber of observatos.
More informationANALYSIS OF VARIANCE WITH PARETO DATA
Proceedgs of the th Aual Coferece of Asa Pacfc Decso Sceces Isttute Hog Kog, Jue -8, 006, pp. 599-609. ANALYSIS OF VARIANCE WITH PARETO DATA Lakhaa Watthaacheewakul Departmet of Mathematcs ad Statstcs,
More informationSpeeding- Up Fractal Image Compression Using Entropy Technique
Avalable Ole at www.jcsmc.com Iteratoal Joural of Computer Scece ad Moble Computg A Mothly Joural of Computer Scece ad Iformato Techology ISSN 2320 088X IMPACT FACTOR: 5.258 IJCSMC, Vol. 5, Issue. 4, Aprl
More informationAn Enhanced Local Covering Approach for Minimization of Multiple-Valued Input Binary-Valued Output Functions
Proceedgs of the 10th WSEAS Iteratoal Coferece o COMPUTERS, Voulagme, Athes, Greece, July 13-15, 2006 (pp63-68) A Ehaced Local Coverg Approach for Mmzato of Multple-Valued Iput Bary-Valued Output Fuctos
More informationEstimation of Co-efficient of Variation in PPS sampling.
It. Statstcal Ist.: Proc. 58th World Statstcal Cogress, 0, Dubl (Sesso CPS00) p.409 Estmato of Co-effcet of Varato PPS samplg. Archaa. V ( st Author) Departmet of Statstcs, Magalore Uverst Magalagagotr,
More informationNEURO FUZZY MODELING OF CONTROL SYSTEMS
NEURO FUZZY MODELING OF CONTROL SYSTEMS Efré Gorrosteta, Carlos Pedraza Cetro de Igeería y Desarrollo Idustral CIDESI, Av Pe de La Cuesta 70. Des. Sa Pablo. Querétaro, Qro, Méxco gorrosteta@teso.mx pedraza@cdes.mx
More informationCOMBINATORIAL METHOD OF POLYNOMIAL EXPANSION OF SYMMETRIC BOOLEAN FUNCTIONS
COMBINATORIAL MTHOD O POLYNOMIAL XPANSION O SYMMTRIC BOOLAN UNCTIONS Dala A. Gorodecky The Uted Isttute of Iformatcs Prolems of Natoal Academy of Sceces of Belarus, Msk,, Belarus, dala.gorodecky@gmal.com.
More informationM. Ibrahim Moussa. Faculty of Computers & Information, Benha University, Benha, Egypt.
ABSTRACT M. Ibrah Mossa Faclty of Copters & Iforato, Beha Uversty, Beha, Egypt ossa_6060@yahoo.co I 1991, Gaajoth [] proved that the path graph P wth vertex ad 1edge s odd gracefl, ad the cycle graph C
More informationClustering documents with vector space model using n-grams
Clusterg documets wth vector space model usg -grams Klas Skogmar, d97ksk@efd.lth.se Joha Olsso, d97jo@efd.lth.se Lud Isttute of Techology Supervsed by: Perre Nugues, Perre.Nugues@cs.lth.se Abstract Ths
More informationExploring Wireless Sensor Network Configurations for Prolonging Network Lifetime
60 IJCSNS Iteratoal Joural of Computer Scece ad Network Securty, VOL7 No8, August 007 Explorg Wreless Sesor Network Cofguratos for Prologg Network Lfetme Zh Zha ad Yuhua Che, Departmet of Electrcal ad
More informationSimulator for Hydraulic Excavator
Smulator for Hydraulc Excavator Tae-Hyeog Lm*, Hog-Seo Lee ** ad Soo-Yog Yag *** * Departmet of Mechacal ad Automotve Egeerg, Uversty of Ulsa,Ulsa, Korea (Tel : +82-52-259-273; E-mal: bulbaram@mal.ulsa.ac.kr)
More informationRELATIONS BETWEEN ORDINARY AND MULTIPLICATIVE ZAGREB INDICES
BULLETIN OF INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN 1840-4367 Vol. 2(2012), 133-140 Former BULLETIN OF SOCIETY OF MATHEMATICIANS BANJA LUKA ISSN 0354-5792 (o), ISSN 1986-521X (p) RELATIONS BETWEEN
More informationCOMPARISON OF PARAMETERIZATION METHODS USED FOR B-SPLINE CURVE INTERPOLATION
Europea Joural of Techc COMPARISON OF PARAMETERIZATION METHODS USED FOR B-SPLINE CURVE INTERPOLATION Sıtı ÖZTÜRK, Cegz BALTA, Melh KUNCAN 2* Kocael Üverstes, Mühedsl Faültes, Eletro ve Haberleşme Mühedslğ
More informationNUMERICAL INTEGRATION BY GENETIC ALGORITHMS. Vladimir Morozenko, Irina Pleshkova
5 Iteratoal Joural Iformato Theores ad Applcatos, Vol., Number 3, 3 NUMERICAL INTEGRATION BY GENETIC ALGORITHMS Vladmr Morozeko, Ira Pleshkova Abstract: It s show that geetc algorthms ca be used successfully
More informationON THE ADJACENT VERTEX-DISTINGUISHING EDGE COLORING OF C F
JP Joral of Matheatical Scieces Vole 16, Isse 2, 2016, Pages 47-53 2016 Ishaa Pblishig Hose This paper is available olie at http://www.iphsci.co ON THE ADJACENT VERTEX-DISTINGUISHING EDGE COLORING OF C
More informationA hybrid method using FAHP and TOPSIS for project selection Xuan Lia, Jiang Jiangb and Su Deng c
5th Iteratoal Coferece o Computer Sceces ad Automato Egeerg (ICCSAE 205) A hybrd method usg FAHP ad TOPSIS for project selecto Xua La, Jag Jagb ad Su Deg c College of Iformato System ad Maagemet, Natoal
More informationCordial and 3-Equitable Labeling for Some Star Related Graphs
Internatonal Mathematcal Forum, 4, 009, no. 31, 1543-1553 Cordal and 3-Equtable Labelng for Some Star Related Graphs S. K. Vadya Department of Mathematcs, Saurashtra Unversty Rajkot - 360005, Gujarat,
More informationAPPLICATION OF CLUSTERING METHODS IN BANK S PROPENSITY MODEL
APPLICATION OF CLUSTERING METHODS IN BANK S PROPENSITY MODEL Sergej Srota Haa Řezaková Abstract Bak s propesty models are beg developed for busess support. They should help to choose clets wth a hgher
More informationFace Recognition using Supervised & Unsupervised Techniques
Natoal Uversty of Sgapore EE5907-Patter recogto-2 NAIONAL UNIVERSIY OF SINGAPORE EE5907 Patter Recogto Project Part-2 Face Recogto usg Supervsed & Usupervsed echques SUBMIED BY: SUDEN NAME: harapa Reddy
More informationEnumerating XML Data for Dynamic Updating
Eumeratg XML Data for Dyamc Updatg Lau Ho Kt ad Vcet Ng Departmet of Computg, The Hog Kog Polytechc Uversty, Hug Hom, Kowloo, Hog Kog cstyg@comp.polyu.edu.h Abstract I ths paper, a ew mappg model, called
More informationAutomated approach for the surface profile measurement of moving objects based on PSP
Uversty of Wollogog Research Ole Faculty of Egeerg ad Iformato Sceces - Papers: Part B Faculty of Egeerg ad Iformato Sceces 207 Automated approach for the surface profle measuremet of movg objects based
More informationINTERSECTION CORDIAL LABELING OF GRAPHS
INTERSECTION CORDIAL LABELING OF GRAPHS G Meea, K Nagaraja Departmet of Mathematics, PSR Egieerig College, Sivakasi- 66 4, Virudhuagar(Dist) Tamil Nadu, INDIA meeag9@yahoocoi Departmet of Mathematics,
More informationClustered Signatures for Modeling and Recognizing 3D Rigid Objects
World Academy of Scece, Egeerg ad Techology 4 008 Clustered Sgatures for Modelg ad Recogzg 3D Rgd Obects H. B. Darbad, M. R. Ito, ad J. Lttle Abstract Ths paper descrbes a probablstc method for three-dmesoal
More informationOdd Graceful Labeling of Some New Type of Graphs
Internatonal Journal o Mathematcs Trends and Technology IJMTT) Volume 41 Number 1- January 2017 Odd Graceul Labelng o Some New Type o Graphs Sushant Kumar Rout 1 Debdas Mshra 2 and Purna chandra Nayak
More informationTheoretical Computer Science
Theoretcal Computer Scece 40 009 949 957 Cotets lsts avalable at SceceDrect Theoretcal Computer Scece joural homepage: www.elsever.com/locate/tcs Improved approxmato bouds for edge domatg set dese graphs
More informationAPR 1965 Aggregation Methodology
Sa Joaqu Valley Ar Polluto Cotrol Dstrct APR 1965 Aggregato Methodology Approved By: Sged Date: March 3, 2016 Araud Marjollet, Drector of Permt Servces Backgroud Health rsk modelg ad the collecto of emssos
More informationPROPERTIES OF BIPOLAR FUZZY GRAPHS
Internatonal ournal of Mechancal Engneerng and Technology (IMET) Volume 9, Issue 1, December 018, pp. 57 56, rtcle ID: IMET_09_1_056 valable onlne at http://www.a aeme.com/jmet/ssues.asp?typeimet&vtype
More informationHadamard product of GCD matrices
Acta Uiv. Sapietiae, Mathematica,, (2009) 43 49 Haamar prouct of GCD matrices Atal Bege Sapietia Hugaria Uiversity of Trasylvaia Departmet of Mathematics Iformatics, Târgu Mureş, Romaia email: abege@ms.sapietia.ro
More informationTexture Feature Extraction using Slant-Hadamard Transform
World Academy of Scece, Egeerg ad Techology 7 6 Texture Feature Extracto usg Slat- Trasform M. J. Nassr, A. Vafae, ad A. Moadjem Abstract Radom ad atural textures classfcato s stll oe of the bggest challeges
More informationOn the extending of k-regular graphs and their strong defining spectrum
On the extending of k-regular graphs and their strong defining spectrum Doost Ali Mojdeh Department of Mathematics University of Mazandaran P. O. Box 47416-1467 Babolsar Iran Abstract In a given graph
More informationITEM ToolKit Technical Support Notes
ITEM ToolKt Notes Fault Tree Mathematcs Revew, Ic. 2875 Mchelle Drve Sute 300 Irve, CA 92606 Phoe: +1.240.297.4442 Fax: +1.240.297.4429 http://www.itemsoft.com Page 1 of 15 6/1/2016 Copyrght, Ic., All
More informationPoint Estimation-III: General Methods for Obtaining Estimators
Pot Estmato-III: Geeral Methods for Obtag Estmators RECAP 0.-0.6 Data: Radom Sample from a Populato of terest o Real valued measuremets: o Assumpto (Hopefully Reasoable) o Model: Specfed Probablty Dstrbuto
More informationProbabilistic properties of topologies of finite metric spaces minimal fillings.
arxv:308.656v [math.mg] Aug 03 Probablstc propertes of topologes of fte metrc spaces mmal fllgs. Vsevolod Salkov Abstract I ths work we provde a way to troduce a probablty measure o the space of mmal fllgs
More informationBlind Steganalysis for Digital Images using Support Vector Machine Method
06 Iteratoal Symposum o Electrocs ad Smart Devces (ISESD) November 9-30, 06 Bld Stegaalyss for Dgtal Images usg Support Vector Mache Method Marcelus Hery Meor School of Electrcal Egeerg ad Iformatcs Badug
More informationA Comparison of Heuristics for Scheduling Spatial Clusters to Reduce I/O Cost in Spatial Join Processing
Edth Cowa Uversty Research Ole ECU Publcatos Pre. 20 2006 A Comparso of Heurstcs for Schedulg Spatal Clusters to Reduce I/O Cost Spatal Jo Processg Jta Xao Edth Cowa Uversty 0.09/ICMLC.2006.258779 Ths
More informationOutline. Area objects and spatial autocorrelation. Types of area object
Area objects ad spatal autocorrelato Outle Itroducto Geometrc propertes of areas Spatal autocorrelato: jos cout approach Spatal autocorrelato: Mora s I Spatal autocorrelato: Geary s C Spatal autocorrelato:
More informationTransistor/Gate Sizing Optimization
Trasstor/Gate Szg Optmzato Gve: Logc etwork wth or wthout cell lbrary Fd: Optmal sze for each trasstor/gate to mmze area or power, both uder delay costrat Statc szg: based o tmg aalyss ad cosder all paths
More informationChEn 475 Statistical Analysis of Regression Lesson 1. The Need for Statistical Analysis of Regression
Statstcal-Regresso_hadout.xmcd Statstcal Aalss of Regresso ChE 475 Statstcal Aalss of Regresso Lesso. The Need for Statstcal Aalss of Regresso What do ou do wth dvdual expermetal data pots? How are the
More informationSearch and Surveillance in emergency situations A GIS-based approach to construct optimal visibility graphs
Mor et al. Costructg optmal vsblty graphs Search ad Survellace emergecy stuatos A GIS-based approach to costruct optmal vsblty graphs Mchael Mor, Irèe Ab-Zed, 2, Thah Tug Nguye, Luc Lamotage Departmet
More informationThe Adjacency Matrix and The nth Eigenvalue
Spectral Graph Theory Lecture 3 The Adjacecy Matrix ad The th Eigevalue Daiel A. Spielma September 5, 2012 3.1 About these otes These otes are ot ecessarily a accurate represetatio of what happeed i class.
More informationMesh Connectivity Compression for Progressive-to-Lossless Transmission
Mesh Coectvty Compresso for Progressve-to-Lossless Trasmsso Pegwe Hao, Yaup Paer ad Ala Pearma ISSN 1470-5559 RR-05-05 Jue 005 Departmet of Computer Scece Mesh Coectvty Compresso for Progressve-to-Lossless
More informationAn Efficient Approach to Mining Frequent Itemsets on Data Streams
A Effcet Approach to Mg Frequet Itemsets o Data Streams Sara Asar, ad Mohammad Had Sadredd Abstract The creasg mportace of data stream arsg a wde rage of advaced applcatos has led to the extesve study
More informationNon-Split Restrained Dominating Set of an Interval Graph Using an Algorithm
Internatonal Journal of Advancements n Research & Technology, Volume, Issue, July- ISS - on-splt Restraned Domnatng Set of an Interval Graph Usng an Algorthm ABSTRACT Dr.A.Sudhakaraah *, E. Gnana Deepka,
More informationTotal magic cordial labeling and square sum total magic cordial labeling in extended duplicate graph of triangular snake
2016; 2(4): 238-242 ISSN Print: 2394-7500 ISSN Online: 2394-5869 Impact Factor: 5.2 IJAR 2016; 2(4): 238-242 www.allresearchjournal.com Received: 28-02-2016 Accepted: 29-03-2016 B Selvam K Thirusangu P
More informationSuper Vertex Magic and E-Super Vertex Magic. Total Labelling
Proceedigs of the Iteratioal Coferece o Applied Mathematics ad Theoretical Computer Sciece - 03 6 Super Vertex Magic ad E-Super Vertex Magic Total Labellig C.J. Deei ad D. Atoy Xavier Abstract--- For a
More informationRegion Matching by Optimal Fuzzy Dissimilarity
Rego Matchg by Optmal Fuzzy Dssmlarty Zhaggu Zeg, Ala Fu ad Hog Ya School of Electrcal ad formato Egeerg The Uversty of Sydey Phoe: +6--935-6659 Fax: +6--935-3847 Emal: zzeg@ee.usyd.edu.au Abstract: Ths
More informationProperties of Linguistic 2-tuple Judgment Matrix with Additive Consistency
Proertes of Lgustc -tule Judgmet Matrx wth Addtve Cosstecy Xxag Zhag Jg Le 3 Bao-a Yag Glorous Su School of Busess ad Maagemet Doghua Uversty Shagha 5 PRCha Iformato Egeerg School Jaxg College Jaxg 34
More informationIntegration of Support Vector Machine and Bayesian Neural Network for Data Mining and Classification
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Computer ad Iformato Egeerg Vol:4, No:4, 2 Itegrato of Support Vector Mache ad Bayesa Neural Network for Data Mg ad Classfcato Essam Al-Daoud
More informationConstructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining
Costructve Sem-Supervsed Classfcato Algorthm ad Its Implemet Data Mg Arvd Sgh Chadel, Arua Twar, ad Naredra S. Chaudhar Departmet of Computer Egg. Shr GS Ist of Tech.& Sc. SGSITS, 3, Par Road, Idore (M.P.)
More informationBridges and cut-vertices of Intuitionistic Fuzzy Graph Structure
Internatonal Journal of Engneerng, Scence and Mathematcs (UGC Approved) Journal Homepage: http://www.jesm.co.n, Emal: jesmj@gmal.com Double-Blnd Peer Revewed Refereed Open Access Internatonal Journal -
More informationSome Interesting SAR Change Detection Studies
Some Iterestg SAR Chage Detecto Studes Lesle M. ovak Scetfc Sstems Compa, Ic. 500 West Cummgs Park, Sute 3000 Wobur, MA 080 USA E-mal lovak@ssc.co ovakl@charter.et ABSTRACT Performace results of coheret
More informationFrom Math to Efficient Hardware. James C. Hoe Department of ECE Carnegie Mellon University
FFT Compler: From Math to Effcet Hardware James C. Hoe Departmet of ECE Carege Mello Uversty jot wor wth Peter A. Mlder, Fraz Frachett, ad Marus Pueschel the SPIRAL project wth support from NSF ACR-3493,
More informationAn Improved Fuzzy C-Means Clustering Algorithm Based on Potential Field
07 d Iteratoal Coferece o Advaces Maagemet Egeerg ad Iformato Techology (AMEIT 07) ISBN: 978--60595-457-8 A Improved Fuzzy C-Meas Clusterg Algorthm Based o Potetal Feld Yua-hag HAO, Zhu-chao YU *, X GAO
More informationF Geometric Mean Graphs
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 2 (December 2015), pp. 937-952 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) F Geometrc Mean Graphs A.
More informationEvaluation of Node and Link Importance Based on Network Topology and Traffic Information DU Xun-Wei, LIU Jun, GUO Wei
Advaced Materals Research Submtted: 2014-08-29 ISSN: 1662-8985, Vols. 1049-1050, pp 1765-1770 Accepted: 2014-09-01 do:10.4028/www.scetfc.et/amr.1049-1050.1765 Ole: 2014-10-10 2014 Tras Tech Publcatos,
More informationA Type of Variation of Hamilton Path Problem with Applications
Edth Cowa Uersty Research Ole ECU Publcatos Pre. 20 2008 A Type of Varato of Hamlto Path Problem wth Applcatos Jta Xao Edth Cowa Uersty Ju Wag Wezhou Uersty, Zhejag, Cha 0.09/ICYCS.2008.470 Ths artcle
More information