Journal of Mathematical Nanoscience. Sanskruti Index of Bridge Graph and Some Nanocones

Size: px
Start display at page:

Download "Journal of Mathematical Nanoscience. Sanskruti Index of Bridge Graph and Some Nanocones"

Transcription

1 Joural of Mathematical Naoscieese 7 2) 2017) Joural of Mathematical Naosciece Available Olie at: Saskruti Idex of Bridge Graph ad Some Naocoes K Pattabirama * Departmet of Mathematics, Aamalai Uiversity, Aamalaiagar , Idia Academic Editor: Saeid Alikhai Abstract Saskruti idex is the importat topological idex used to test the chemical properties of chemical comopouds I this paper, first we obtai the formulae for calculatig the Saskruti idex of bridge graph ad carbo aocoes CNC k) I additio, Saskruti idex of the Lie graph of CNC k [] aocoes are obtaied Keywords Saskruti idex, bridge graph, carbo aocoes 1 Itroductio Graph theory has provided chemist with a variety of useful tools, such as topological idices Molecules ad molecular compouds are ofte modeled by molecular graph A molecular graph is a represetatio of the structural formula of a chemical compoud i terms of graph theory, whose vertices correspod to the atoms of the compoud ad edges correspod to chemical bods A graph G with vertex set VG) ad edge set EG) is coected, if there exists a coectio betwee ay pair of vertices i G For a graph G, the degree of a vertex v is the umber of edges icidet to v ad deoted by d G v) A graph ca be recogized by a umeric umber, a polyomial, a sequece of umbers or a matrix which represets the whole graph, ad these represetatios are aimed to be uiquely defied for that graph A topological idex is a umeric quatity associated with a graph which characterize the topology of graph ad is ivariat uder graph automorphism There are some major classes of topological idices such as distace based topological idices, degree based topological idices ad coutig related polyomials ad idices *Correspodig author address: pramak@gmailcom) DOI: /JMNS Shahid Rajaee Teacher Traiig Uiversity

2 K Pattabirama / Joural of Mathematical Naoscieese ) of graphs Amog these classes degree based topological idices are y ad particularly i chemistry I more precise way, a topological idex TopG) of a graph G, is a umber with the property that for every graph H isomorphic to G, TopG) = TopH) The cocept of topological idex came from work doe by Wieer [13] while he was workig o boilig poit of paraffi He amed this idex as path umber Later o, the path umber was reamed as Wieer idex The Wieer idex is the first ad most studied topological idex, both from theoretical poit of view ad applicatios, ad defied as the sum of distaces betwee all pairs of vertices i G, see for details [2, 7] Oe of the well-kow degree based topological idex is the atom-bod coectivityabc) idex of G, proposed by Estrada et al i [4], ad defied as ABCG) = dg u)d G v) 2 d G u)d G v) uv EG) Ispired by work o the ABC idex, Furtula et al [5] proposed the followig modified versio of the ABC idex ad called it as augmeted Zagreb idexazi) which is defied as AZIG) = dg u)d G 3 d G u)d G v) 2) uv EG) The predictio power is better tha the ABC idex i the study of heat of formatio for heptaes ad octaes [5] Motivated by the previous research o topological descriptors ad their applicatios, Hosamai [12] proposed a ew idex of a molecular graph G called Saskruti idex SG) which is defied as SG) = sg u)s G 3, s G u)s G v) 2) uv EG) where s G u) is the sum of degrees of all vertices adjacet to the vertex u, that is, s G u) = d G v), v N G u) where N G u) is the set of all eighbors of the give vertex u, that is, N G u) = {v VG) uv EG)} I [12], the chemical applicability of the S-idex is give ad the value of S-idex for lie graphs of subdiviso graphs of 2D-lattice, aotube ad aotorus of TUC 4 C 8 [p,q] are computed I this paper, we obtai the formulae for calculatig the Saskruti idex of bridge graph ad carbo aocoes CNC k) I additio, Saskruti idex of the lie graph of CNC k [] aocoes are obtaied 86

3 K Pattabirama / Joural of Mathematical Naoscieese ) Bridge graph I this sectio, we obtai the S-idex of bridge graph Set T = {t 1,t 2,,t k } VG) The the trucated Saskruti idex S T is defied as S {t 1,t 2,,t k } G) = S T G) = s G u)s G v) s uv EG) G u) s G v) 2 u,v/ T If T is empty, the S T G) = SG) Let G i, i {1,2,,} be certai graphs ad v i VG i ) The bridge graph expressed by G = GG 1, G 2,,G,v 1,v 2,,v ) which ca be regarded as the uio of the graphs G i, i {1,2,,} via coected edges v i v i1, i {1,2,, 1}, see Figure 1 Oe ca see that the umber of vertices ad edges of the bridge graph are respectively VG i ) ad EG i ) 1), Figure 1 The bridge graph G = GG 1,,G,v 1,,v ) The followig lemma is easily obtaied from the structure of bridge graph Lemma 21 Let G = GG 1, G 2,,G,v 1,v 2,,v ) be a bridge graph ad N G [u] = N G u) {u} for each u VG) The the followig is true: i) G = GG 1, G 2,,G,v 1,v 2,,v ) is coected if ad oly if G i, i {1,2,,} are coected ii) The degree of a vertex v VG) is d Gi v), v VG i ) ad v = v i d G v) = d Gi v) 1, v = v i ad i {1,} d Gi v) 2, v = v i ad i {2,, 1} iii) If u VG i ) ad v i / N Gi [u], the s G u) = s Gi u) where s G u) = su) ad s Gi u) = d Gi v) v N Gi u) 87

4 K Pattabirama / Joural of Mathematical Naoscieese ) Theorem 22 Set T = {t 1,t 2,,t k } VG) ad suppose v 1,v 2,,v / T For bridge graph G = GG 1, G 2,,G,v 1,v 2,,v ), we have S {t 1,t 2,,t k } G) = S T N G i [v i ] G i ) 1 sv)sv i1 ) sv i ) sv i1 ) 2 Proof By the defiitio of trucated S-idex, S {t 1,t 2,,t k } G) = = = uv EG) u,v/ T 1 su)sv) su) sv) 2 sv)sv i1 ) sv i ) sv i1 ) 2 uv EG i ) u,v/ T N Gi [v i ] uv EG i ) u,v/ T, u N Gi [v i ] S T N G i [v i ] G i ) s Gi u)s Gi v) s Gi u) s Gi v) 2 su)sv) su) sv) 2 uv EG i ) u,v/ T, u N Gi [v i ] uv EG i ) u,v/ T uv EG i ) u,v/ T, u N Gi [v i ] 1 sv)sv i1 ) sv i ) sv i1 ) 2 1 su)sv) su) sv) 2 su)sv) su) sv) 2 su)sv) su) sv) 2 sv)sv i1 ) sv i ) sv i1 ) 2 By settig = 2 i above Theorem, we obtai the followig corollary Corollary 23 For G = GG 1, G 2,v 1,v 2 )T = {t 1,t 2,,t k } VG),v 1,v 2 / T), we have S {t 1,t 2,,t k } G) = 2 S T N G i [v i ] G i ) 2 uv EG i ) u,v/ T, u N Gi [v i ] su)sv) su) sv) 2 sg1 v 1 ) d G2 v 2 ) 1)s G2 v 2 ) d G1 v 1 ) 1) s G1 v 1 ) s G2 v 2 ) d G1 v 1 ) d G2 v 2 ) Usig above corollary, we obtai the S-idex of some special molecular graphs 88

5 K Pattabirama / Joural of Mathematical Naoscieese ) Example 24 Cosider the aostar G 1 expressed i Figure 2 Oe ca check that 44) 79) 45) SG 1 ) = = ) Further, S N G 1 [v 1 ] G 1 ) = S N G 1 [v 2 ] G 1 ) = S N G 1 [v 3 ] G 1 ) = ad for ay 1 i, j 3 ad i = j we have S N G 1 [v i ] N G1 [v j ] G 1 ) = Figure 2 TThe graph of aostar dedrimer D for = 1,2,3 Now cosider the bridge graph G = GG 1, H 1,v 1,t 1 ) maifested i Figure 2 Observe that H i = G1 for i {1,2,, 1} ad G = GG 1, H 1,v 1,t 1 ), G 1 = GG 2, H 2,v 2,t 2 ), G i = GG i 1, H i1,v i1,t i1 ), G 2 = GG 1, H 1,v 1,t 1 ) 89

6 K Pattabirama / Joural of Mathematical Naoscieese ) Hece, by Corollary 23, we get the followig relatioships: SG ) = S N G 1 [v 1 ] G 1 ) S N H 1 [t 1 ] H 1 ) r, S N G 1 [v 1 ] G 1 ) = S N G 2 [v 2 ] G 2 ) S N H 2 [v 1 ] N H2 [t 2 ] H 2 ) r, S N G i [v i ] G i ) = S N G i 1 [v i1 ] G i 1 ) S N H i1 [v i ] N Hi1 [t i1 ] H i1 ) r, S N G 2 [v 2 ] G 2 ) = S N G 1 [v 1 ] G 1 ) S N H 1 [v 2 ] N H 1 [t 1 ] H 1 ) r, where 77) 55) 57) r = = ) 8 2 Combiig those relatioship stated above, we have Therefore, SG ) = S N G 1 [v 1 ] G 1 ) S N H 1 [t 1 ] H 1 ) 1 S N H i [v i 1 ] N Hi [t i ] H i ) 1)r i=2 SG ) = 2S N G 1 [v 1 ] G 1 ) 2)S G 1[v 1 ] N G1 [v 2 ] G 1 ) 1)r [ ] = ) [ ] 2) ) [ ] ) 8 2) ) [ 8 20 ] = )5 2) 2 2) 3 7 [ ] 1) 12) 8 Usig above, we have the followig theorems Theorem 25 Let G = GG 1, H 1,v 1,t 1 ) be the bridge graph preseted i Figure 2 The ) [ 8 20 ] SG ) = )5 2) 2 2) 3 7 [ ] 1) 12) 8 Theorem 26 Let D be the aostar dedrimer The ) [ 8 20 ] SD) = )5 2) 2 2) 3 7 [ ] 1) 12) 8 90

7 3 Carbo Naocoes K Pattabirama / Joural of Mathematical Naoscieese ) I this sectio, we compute the S-idex of famous carbo aocoes CNC k) Oe ca see that the umber of vertices of CNC k) is k 1) 2 ad the umber of edges of CNC k) is 2 k 1)3k 2) Before presetig our mai result i this sectio, we first see the followig two examples Example 31 Cosider the carbo aocoes CNC 3 1) show i Figure 3 This molecular structure has 15 edges, where three of them with su) = sv) = 5, six of them with su) = 7 ad sv) = 5, three of them with su) = 7 ad sv) = 9, ad three of them with su) = sv) = 9 From the defiitio of S-idex, we have 55) SCNC 3 1)) = 3 57) 79) ) ) = ) ) Figure 3 The carbo aocoes CNC 3 1) Figure 4 The carbo aocoes CNC 4 2) Example 32 Cosider the carbo aocoes CNC 4 2) show i Figure 4 This molecular structure has 48 edges, where four of them with su) = sv) = 5, eight of them with su) = 7 91

8 K Pattabirama / Joural of Mathematical Naoscieese ) ad sv) = 5, eight of them with su) = 7 ad sv) = 9, eight of them with su) = 7 ad sv) = 6, ad twety of them with su) = sv) = 9 The 55) 57) 79) SCNC 4 2)) = ) 76) 20 8 = 1072) Now we obtai the mai result for this sectio Theorem 33 Let 2 ad k 1 be positive itegers The SCNC k)) = 4k3k 1) 9 Proof From the Examples 2 ad 3, we obtai ) ) ) 5k 6) k 1) 42 55) 57) 79) SCNC k)) = 2 k ) k3k 1) 99) 2k 1) ) ) = k k3k 1) ) 4 Lie graph of CNC k [] aocoes I this sectio, we fid the S-idex of lie graph of CNC k [] aocoes The followig lemma is useful to fidig the degree of a vertex of a lie graph Let G be a graph, u VG) ad e = uv EG) The de) = du) dv) 2 Example 41 Cosider the lie graph of CNC 3 [1] I this graph we have 6 edges of su) = 6 ad sv) = 9, 3 edges of su) = sv) = 9, 6 edges of su) = 9 ad sv) = 14, 6 edges of su) = 14 ad sv) = 16 ad 3 edges of su) = sv) = 16 Thus SLCNC 3 [1])) = ) ) )3 Theorem 42 Let G be a lie graph of CNC 3 [] aocoes for > 1 The SLCNC 3 [])) = ) 375 [ 54) 3 6 [ ) ) ) ) )3 2128)3 ] ]

9 K Pattabirama / Joural of Mathematical Naoscieese ) Proof The graph G cosists of ) vertices ad 3 1)3 1) edges There are seve types of edges i EG) based o the degree sum of vertices lyig at the uit distace from ed vertices of each edge The edge partitio E 1 cotais 6 edges where su) = 6 ad sv) = 9, the edge partitio E 2 cotais 6 edges su) = 9 ad sv) = 10, the edge partitio E 3 cotais 6 edges where su) = 9 ad sv) = 14, the edge partitio E 4 cotais 6 9 edges where su) = 10 ad sv) = 10, the edge partitio E 5 cotais 6 6 edges where su) = 10 ad sv) = 14, the edge partitio E 6 cotais 6 edges where su) = 14 ad sv) = 16 ad the edge partitio E 7 cotais edges where su) = sv) = 16 su)sv) SG) = su) sv) 2 uv EG) 69) 910) 914) 1010) = ) ) 1416) 1616) 6 6) ) = ) [ ) )3 2128)3 ] [ 54) ) ) )3 ] Example 43 Cosider the lie graph of CNC 4 [1] I this graph we have 8 edges of su) = 6 ad sv) = 9, 3 edges of su) = sv) = 9, 8 edges of su) = 9 ad sv) = 14, 8 edges of su) = 14 ad sv) = 16 ad 4 edges of su) = sv) = 16 Thus SLCNC 4 [1])) = ) ) ) Theorem 44 Let G be a lie graph of CNC 4 [] aocoes for > 1 The SLCNC 4 [])) = ) 8 [ )3 8 [512 50) )3 128) ) ) )3 Proof The graph G cosists of ) vertices ad 4 1)3 1) edges There are seve types of edges i EG) based o the degree sum of vertices lyig at the uit distace from ed vertices of each edge The edge partitio E 1 cotais 8 edges where su) = 6 ad sv) = 9, the edge partitio E 2 cotais 8 edges su) = 9 ad sv) = 10, the edge partitio E 3 cotais 8 edges where su) = 9 ad sv) = 14, the edge partitio E 4 cotais 8 12 edges where su) = sv) = 10, the edge partitio E 5 cotais 8 8 edges where su) = 10 ad sv) = 14, the edge partitio E 6 cotais 8 edges where su) = 14 ad sv) = 16 ad the 93 ] ]

10 K Pattabirama / Joural of Mathematical Naoscieese ) edge partitio E 7 cotais edges where su) = sv) = 16 Thus su)sv) SG) = su) sv) 2 uv EG) 69) 910) 914) 1010) = ) ) 1416) 1616) 8 8) ) = ) 8 [512 50) )3 128)3 ] [ ) ) ) )3 ] Example 45 Cosider the lie graph of CNC k [1] I this graph we have 2k edges of su) = 6 ad sv) = 9, k edges of su) = sv) = 9, 2k edges of su) = 9 ad sv) = 14, 2k edges of su) = 14 ad sv) = 16 ad k edges of su) = sv) = 16 Thus [ SLCNC k [1])) = k ] 3375 Theorem 46 Let G be a lie graph of CNC k [] aocoes for > 1 The SLCNC k [])) = k ) 2k [512 50) )3 128)3 ] 3375 k [432 54) ) ) )3 ] Proof The graph G cosists of 2k ) vertices ad k 1)3 1) edges There are seve types of edges i EG) based o the degree sum of vertices lyig at the uit distace from ed vertices of each edge The edge partitio E 1 cotais 2k edges where su) = 6 ad sv) = 9, the edge partitio E 2 cotais 2k edges su) = 9 ad sv) = 10, the edge partitio E 3 cotais 2k edges where su) = 9 ad sv) = 14, the edge partitio E 4 cotais 2k 3k edges where su) = sv) = 10, the edge partitio E 5 cotais 2k 2k edges where su) = 10 ad sv) = 14, the edge partitio E 6 cotais 2k edges where su) = 14 ad sv) = 16 ad 94

11 K Pattabirama / Joural of Mathematical Naoscieese ) the edge partitio E 7 cotais 3k 2 2k edges where su) = sv) = 16 Thus su)sv) SG) = su) sv) 2 uv EG) 69) 910) 914) 1010) = 2k 2k 2k 2k 3k) ) 1416) 1616) 2k 2k) 2k 3k 2 2k) = k ) 2k [512 50) )3 128)3 ] 3375 k [432 54) ) ) )3 ] Refereces [1] M Baca, J Horvathova, M Mokrisova, A Suhayiova, O topological idices of fullereces, Appl Math Comput ) [2] A A Dobryi, R Etriger, I Gutma, Wieer idex of trees: theory ad applicatios, Acta Appl Math ) [3] E Estrada, Atom-bod coectivity ad the eergetic of brached alkaes, Chem Phys Lett ) [4] E Estrada, L Torres, L Rodriguez, I Gutma, A atom-bod coectivity idex: modellig the ethalpy of formatio of alkaes, Idia J Chem 37A 1998) [5] B Furtula, A Graovac, D Vukicević, Augmeted Zagreb idex, J Math Chem [6] M Ghorbai, M A Hosseizadeh, Computig ABC 4 idex of aostar dedrimers, Optoelectro Adv Mater Rapid Commu ) [7] I Gutma, O E Polasky, Mathematical Cocepts i Orgaic Chemistry, Spriger-Verlag, New York, 1986 [8] I Gutma, J Tosović, S Radeković, S Marković, O atom-bod coectivity idex ad its chemical applicability, Idia J Chem 51A 2012) [9] S Hayat, M Imra, Computatio of topological idices of certai etworks, Appl Math Comput ) [10] S A Hosseii, MB Ahmadi, I Gutma, Kragujevac trees with miimal atom-bod coectivity idex, MATCH Commu Math Comput Chem ) 5 20 [11] W Li, J Che, Q Che, T Gao, X Li, B Cai, Fast computer search for trees with miimal ABC idex based o tree degree sequeces, MATCH Commu Math Comput Chem ) [12] S M Hosamai, Computig Saskruti idex of certai aostructures, J Appl Math Comput 54 1) 2017) [13] H Wieer, Structural determiatio of paraffi boilig poits, J Am Chem Soc ) [14] B Zhou, R Xig, O atom bod coectivity idex, Z Naturforsch 66a 2011)

Computing Vertex PI, Omega and Sadhana Polynomials of F 12(2n+1) Fullerenes

Computing Vertex PI, Omega and Sadhana Polynomials of F 12(2n+1) Fullerenes Iraia Joural of Mathematical Chemistry, Vol. 1, No. 1, April 010, pp. 105 110 IJMC Computig Vertex PI, Omega ad Sadhaa Polyomials of F 1(+1) Fullerees MODJTABA GHORBANI Departmet of Mathematics, Faculty

More information

Computing Vertex PI, Omega and Sadhana Polynomials of F 12(2n+1) Fullerenes

Computing Vertex PI, Omega and Sadhana Polynomials of F 12(2n+1) Fullerenes Iraia Joural of Mathematical Chemistry, Vol. 1, No. 1, April 010, pp. 105 110 IJMC Computig Vertex PI, Omega ad Sadhaa Polyomials of F 1(+1) Fullerees MODJTABA GHORBANI Departmet of Mathematics, Faculty

More information

Sum-connectivity indices of trees and unicyclic graphs of fixed maximum degree

Sum-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 information

Relationship between augmented eccentric connectivity index and some other graph invariants

Relationship 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 information

New Results on Energy of Graphs of Small Order

New 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 information

Journal of Mathematical Nanoscience. Vertex weighted Laplacian graph energy and other topological indices

Journal 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 information

Strong Complementary Acyclic Domination of a Graph

Strong 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 information

CHAPTER IV: GRAPH THEORY. Section 1: Introduction to Graphs

CHAPTER IV: GRAPH THEORY. Section 1: Introduction to Graphs CHAPTER IV: GRAPH THEORY Sectio : Itroductio to Graphs Sice this class is called Number-Theoretic ad Discrete Structures, it would be a crime to oly focus o umber theory regardless how woderful those topics

More information

RELATIONS BETWEEN ORDINARY AND MULTIPLICATIVE ZAGREB INDICES

RELATIONS 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 information

Ones Assignment Method for Solving Traveling Salesman Problem

Ones Assignment Method for Solving Traveling Salesman Problem Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:

More information

A RELATIONSHIP BETWEEN BOUNDS ON THE SUM OF SQUARES OF DEGREES OF A GRAPH

A 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 information

Visualization of Gauss-Bonnet Theorem

Visualization of Gauss-Bonnet Theorem Visualizatio of Gauss-Boet Theorem Yoichi Maeda maeda@keyaki.cc.u-tokai.ac.jp Departmet of Mathematics Tokai Uiversity Japa Abstract: The sum of exteral agles of a polygo is always costat, π. There are

More information

ENERGY, DISTANCE ENERGY OF CONNECTED GRAPHS AND SKEW ENERGY OF CONNECTED DIGRAPHS WITH RESPECT TO ITS SPANNING TREES AND ITS CHORDS

ENERGY, DISTANCE ENERGY OF CONNECTED GRAPHS AND SKEW ENERGY OF CONNECTED DIGRAPHS WITH RESPECT TO ITS SPANNING TREES AND ITS CHORDS Iteratioal Joural of Combiatorial Graph Theory ad Applicatios Vol 4, No 2, (July-December 2011), pp 77-87 ENERGY, DISTANCE ENERGY OF CONNECTED GRAPHS AND SKEW ENERGY OF CONNECTED DIGRAPHS WITH RESPECT

More information

EXTREMAL PROPERTIES OF ZAGREB COINDICES AND DEGREE DISTANCE OF GRAPHS

EXTREMAL PROPERTIES OF ZAGREB COINDICES AND DEGREE DISTANCE OF GRAPHS Miskolc Mathematical Notes HU e-issn 1787-413 Vol. 11 (010), No., pp. 19 137 ETREMAL PROPERTIES OF ZAGREB COINDICES AND DEGREE DISTANCE OF GRAPHS S. HOSSEIN-ZADEH, A. HAMZEH AND A. R. ASHRAFI Received

More information

On Infinite Groups that are Isomorphic to its Proper Infinite Subgroup. Jaymar Talledo Balihon. Abstract

On Infinite Groups that are Isomorphic to its Proper Infinite Subgroup. Jaymar Talledo Balihon. Abstract O Ifiite Groups that are Isomorphic to its Proper Ifiite Subgroup Jaymar Talledo Baliho Abstract Two groups are isomorphic if there exists a isomorphism betwee them Lagrage Theorem states that the order

More information

An Efficient Algorithm for Graph Bisection of Triangularizations

An Efficient Algorithm for Graph Bisection of Triangularizations A Efficiet Algorithm for Graph Bisectio of Triagularizatios Gerold Jäger Departmet of Computer Sciece Washigto Uiversity Campus Box 1045 Oe Brookigs Drive St. Louis, Missouri 63130-4899, USA jaegerg@cse.wustl.edu

More information

A study on Interior Domination in Graphs

A 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 information

Counting the Number of Minimum Roman Dominating Functions of a Graph

Counting the Number of Minimum Roman Dominating Functions of a Graph Coutig the Number of Miimum Roma Domiatig Fuctios of a Graph SHI ZHENG ad KOH KHEE MENG, Natioal Uiversity of Sigapore We provide two algorithms coutig the umber of miimum Roma domiatig fuctios of a graph

More information

International Journal of Mathematical Archive-7(9), 2016, Available online through ISSN

International Journal of Mathematical Archive-7(9), 2016, Available online through   ISSN Iteratioal Joural of Mathematical Archive-7(9), 06, 7- Available olie through www.ijma.ifo IN 9 5046 ON ECCENTRIC CONNECTIVITY INDEX OF F D AND F D GRAPH [ [ U. MARY*,. HAMILA *Departmet of Mathematics,

More information

An Efficient Algorithm for Graph Bisection of Triangularizations

An Efficient Algorithm for Graph Bisection of Triangularizations Applied Mathematical Scieces, Vol. 1, 2007, o. 25, 1203-1215 A Efficiet Algorithm for Graph Bisectio of Triagularizatios Gerold Jäger Departmet of Computer Sciece Washigto Uiversity Campus Box 1045, Oe

More information

9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence

9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence _9.qxd // : AM Page Chapter 9 Sequeces, Series, ad Probability 9. Sequeces ad Series What you should lear Use sequece otatio to write the terms of sequeces. Use factorial otatio. Use summatio otatio to

More information

The Counterchanged Crossed Cube Interconnection Network and Its Topology Properties

The Counterchanged Crossed Cube Interconnection Network and Its Topology Properties WSEAS TRANSACTIONS o COMMUNICATIONS Wag Xiyag The Couterchaged Crossed Cube Itercoectio Network ad Its Topology Properties WANG XINYANG School of Computer Sciece ad Egieerig South Chia Uiversity of Techology

More information

On Characteristic Polynomial of Directed Divisor Graphs

On 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 information

A Note on Chromatic Transversal Weak Domination in Graphs

A 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 information

1 Graph Sparsfication

1 Graph Sparsfication CME 305: Discrete Mathematics ad Algorithms 1 Graph Sparsficatio I this sectio we discuss the approximatio of a graph G(V, E) by a sparse graph H(V, F ) o the same vertex set. I particular, we cosider

More information

Combination Labelings Of Graphs

Combination Labelings Of Graphs Applied Mathematics E-Notes, (0), - c ISSN 0-0 Available free at mirror sites of http://wwwmaththuedutw/ame/ Combiatio Labeligs Of Graphs Pak Chig Li y Received February 0 Abstract Suppose G = (V; E) is

More information

Compactness of Fuzzy Sets

Compactness of Fuzzy Sets Compactess of uzzy Sets Amai E. Kadhm Departmet of Egieerig Programs, Uiversity College of Madeat Al-Elem, Baghdad, Iraq. Abstract The objective of this paper is to study the compactess of fuzzy sets i

More information

Some cycle and path related strongly -graphs

Some cycle and path related strongly -graphs Some cycle ad path related strogly -graphs I. I. Jadav, G. V. Ghodasara Research Scholar, R. K. Uiversity, Rajkot, Idia. H. & H. B. Kotak Istitute of Sciece,Rajkot, Idia. jadaviram@gmail.com gaurag ejoy@yahoo.co.i

More information

Lecture 2: Spectra of Graphs

Lecture 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 information

INTERSECTION CORDIAL LABELING OF GRAPHS

INTERSECTION 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 information

Mean cordiality of some snake graphs

Mean cordiality of some snake graphs Palestie Joural of Mathematics Vol. 4() (015), 49 445 Palestie Polytechic Uiversity-PPU 015 Mea cordiality of some sake graphs R. Poraj ad S. Sathish Narayaa Commuicated by Ayma Badawi MSC 010 Classificatios:

More information

Accuracy Improvement in Camera Calibration

Accuracy Improvement in Camera Calibration Accuracy Improvemet i Camera Calibratio FaJie L Qi Zag ad Reihard Klette CITR, Computer Sciece Departmet The Uiversity of Aucklad Tamaki Campus, Aucklad, New Zealad fli006, qza001@ec.aucklad.ac.z r.klette@aucklad.ac.z

More information

Some non-existence results on Leech trees

Some non-existence results on Leech trees Some o-existece results o Leech trees László A.Székely Hua Wag Yog Zhag Uiversity of South Carolia This paper is dedicated to the memory of Domiique de Cae, who itroduced LAS to Leech trees.. Abstract

More information

Super Vertex Magic and E-Super Vertex Magic. Total Labelling

Super 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 information

The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas

The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas The ige-cover Ratio of a Graph: Asymptotes, Domiatio ad Areas Paul August Witer ad Carol Lye Jessop Mathematics, UKZN, Durba, outh Africa-email: witerp@ukzacza Abstract The separate study of the two cocepts

More information

On (K t e)-saturated Graphs

On (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 information

5.3 Recursive definitions and structural induction

5.3 Recursive definitions and structural induction /8/05 5.3 Recursive defiitios ad structural iductio CSE03 Discrete Computatioal Structures Lecture 6 A recursively defied picture Recursive defiitios e sequece of powers of is give by a = for =0,,, Ca

More information

The Adjacency Matrix and The nth Eigenvalue

The 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 information

Protected points in ordered trees

Protected points in ordered trees Applied Mathematics Letters 008 56 50 www.elsevier.com/locate/aml Protected poits i ordered trees Gi-Sag Cheo a, Louis W. Shapiro b, a Departmet of Mathematics, Sugkyukwa Uiversity, Suwo 440-746, Republic

More information

VERTEX-DEGREE-BASED TOPOLOGICAL INDICES OVER TREES WITH TWO BRANCHING VERTICES

VERTEX-DEGREE-BASED TOPOLOGICAL INDICES OVER TREES WITH TWO BRANCHING VERTICES Kragujevac Journal of Mathematics Volume 43(3) (019), Pages 399 411. VERTEX-DEGREE-BASED TOPOLOGICAL INDICES OVER TREES WITH TWO BRANCHING VERTICES R. CRUZ 1, C. A. MARÍN 1, AND J. RADA 1 Abstract. Given

More information

Improved Random Graph Isomorphism

Improved Random Graph Isomorphism Improved Radom Graph Isomorphism Tomek Czajka Gopal Paduraga Abstract Caoical labelig of a graph cosists of assigig a uique label to each vertex such that the labels are ivariat uder isomorphism. Such

More information

Prime Cordial Labeling on Graphs

Prime Cordial Labeling on Graphs World Academy of Sciece, Egieerig ad Techology Iteratioal Joural of Mathematical ad Computatioal Scieces Vol:7, No:5, 013 Prime Cordial Labelig o Graphs S. Babitha ad J. Baskar Babujee, Iteratioal Sciece

More information

A New Morphological 3D Shape Decomposition: Grayscale Interframe Interpolation Method

A New Morphological 3D Shape Decomposition: Grayscale Interframe Interpolation Method A ew Morphological 3D Shape Decompositio: Grayscale Iterframe Iterpolatio Method D.. Vizireau Politehica Uiversity Bucharest, Romaia ae@comm.pub.ro R. M. Udrea Politehica Uiversity Bucharest, Romaia mihea@comm.pub.ro

More information

Lecture 1: Introduction and Strassen s Algorithm

Lecture 1: Introduction and Strassen s Algorithm 5-750: Graduate Algorithms Jauary 7, 08 Lecture : Itroductio ad Strasse s Algorithm Lecturer: Gary Miller Scribe: Robert Parker Itroductio Machie models I this class, we will primarily use the Radom Access

More information

MINIMUM COVERING SEIDEL ENERGY OF A GRAPH

MINIMUM 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 information

n n B. How many subsets of C are there of cardinality n. We are selecting elements for such a

n n B. How many subsets of C are there of cardinality n. We are selecting elements for such a 4. [10] Usig a combiatorial argumet, prove that for 1: = 0 = Let A ad B be disjoit sets of cardiality each ad C = A B. How may subsets of C are there of cardiality. We are selectig elemets for such a subset

More information

On Geometric Arithmetic Index of Graphs

On Geometric Arithmetic Index of Graphs MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 64 2010) 619-630 ISSN 0340-6253 On Geometric Arithmetic Index of Graphs Kinkar Ch. Das Department of Mathematics,

More information

A Comparative Study of Positive and Negative Factorials

A Comparative Study of Positive and Negative Factorials A Comparative Study of Positive ad Negative Factorials A. M. Ibrahim, A. E. Ezugwu, M. Isa Departmet of Mathematics, Ahmadu Bello Uiversity, Zaria Abstract. This paper preset a comparative study of the

More information

BASED ON ITERATIVE ERROR-CORRECTION

BASED ON ITERATIVE ERROR-CORRECTION A COHPARISO OF CRYPTAALYTIC PRICIPLES BASED O ITERATIVE ERROR-CORRECTIO Miodrag J. MihaljeviC ad Jova Dj. GoliC Istitute of Applied Mathematics ad Electroics. Belgrade School of Electrical Egieerig. Uiversity

More information

The isoperimetric problem on the hypercube

The isoperimetric problem on the hypercube The isoperimetric problem o the hypercube Prepared by: Steve Butler November 2, 2005 1 The isoperimetric problem We will cosider the -dimesioal hypercube Q Recall that the hypercube Q is a graph whose

More information

Perhaps the method will give that for every e > U f() > p - 3/+e There is o o-trivial upper boud for f() ad ot eve f() < Z - e. seems to be kow, where

Perhaps the method will give that for every e > U f() > p - 3/+e There is o o-trivial upper boud for f() ad ot eve f() < Z - e. seems to be kow, where ON MAXIMUM CHORDAL SUBGRAPH * Paul Erdos Mathematical Istitute of the Hugaria Academy of Scieces ad Reu Laskar Clemso Uiversity 1. Let G() deote a udirected graph, with vertices ad V(G) deote the vertex

More information

Theory of Fuzzy Soft Matrix and its Multi Criteria in Decision Making Based on Three Basic t-norm Operators

Theory of Fuzzy Soft Matrix and its Multi Criteria in Decision Making Based on Three Basic t-norm Operators Theory of Fuzzy Soft Matrix ad its Multi Criteria i Decisio Makig Based o Three Basic t-norm Operators Md. Jalilul Islam Modal 1, Dr. Tapa Kumar Roy 2 Research Scholar, Dept. of Mathematics, BESUS, Howrah-711103,

More information

BOOLEAN MATHEMATICS: GENERAL THEORY

BOOLEAN MATHEMATICS: GENERAL THEORY CHAPTER 3 BOOLEAN MATHEMATICS: GENERAL THEORY 3.1 ISOMORPHIC PROPERTIES The ame Boolea Arithmetic was chose because it was discovered that literal Boolea Algebra could have a isomorphic umerical aspect.

More information

EVEN VERTEX EQUITABLE EVEN LABELING FOR CYCLE RELATED GRAPHS

EVEN VERTEX EQUITABLE EVEN LABELING FOR CYCLE RELATED GRAPHS Kragujevac Joural of Matheatics Volue 43(3) (019), Pages 47 441. EVEN VERTEX EQUITABLE EVEN LABELING FOR CYCLE RELATED GRAPHS A. LOURDUSAMY 1 AND F. PATRICK 1 Abstract. Let G be a graph with p vertices

More information

arxiv: v2 [cs.ds] 24 Mar 2018

arxiv: v2 [cs.ds] 24 Mar 2018 Similar Elemets ad Metric Labelig o Complete Graphs arxiv:1803.08037v [cs.ds] 4 Mar 018 Pedro F. Felzeszwalb Brow Uiversity Providece, RI, USA pff@brow.edu March 8, 018 We cosider a problem that ivolves

More information

THE COMPETITION NUMBERS OF JOHNSON GRAPHS

THE COMPETITION NUMBERS OF JOHNSON GRAPHS Discussioes Mathematicae Graph Theory 30 (2010 ) 449 459 THE COMPETITION NUMBERS OF JOHNSON GRAPHS Suh-Ryug Kim, Boram Park Departmet of Mathematics Educatio Seoul Natioal Uiversity, Seoul 151 742, Korea

More information

3D Model Retrieval Method Based on Sample Prediction

3D Model Retrieval Method Based on Sample Prediction 20 Iteratioal Coferece o Computer Commuicatio ad Maagemet Proc.of CSIT vol.5 (20) (20) IACSIT Press, Sigapore 3D Model Retrieval Method Based o Sample Predictio Qigche Zhag, Ya Tag* School of Computer

More information

Module 8-7: Pascal s Triangle and the Binomial Theorem

Module 8-7: Pascal s Triangle and the Binomial Theorem Module 8-7: Pascal s Triagle ad the Biomial Theorem Gregory V. Bard April 5, 017 A Note about Notatio Just to recall, all of the followig mea the same thig: ( 7 7C 4 C4 7 7C4 5 4 ad they are (all proouced

More information

Some New Results on Prime Graphs

Some New Results on Prime Graphs Ope Joural of Discrete Mathematics, 202, 2, 99-04 http://dxdoiorg/0426/ojdm202209 Published Olie July 202 (http://wwwscirporg/joural/ojdm) Some New Results o Prime Graphs Samir Vaidya, Udaya M Prajapati

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology It J Pure App Sci Techo 6( (0 pp7-79 Iteratioa Joura of Pure ad Appied Scieces ad Techoogy ISS 9-607 Avaiabe oie at wwwijopaasati Research Paper Reatioship Amog the Compact Subspaces of Rea Lie ad their

More information

Name of the Student: Unit I (Logic and Proofs) 1) Truth Table: Conjunction Disjunction Conditional Biconditional

Name of the Student: Unit I (Logic and Proofs) 1) Truth Table: Conjunction Disjunction Conditional Biconditional SUBJECT NAME : Discrete Mathematics SUBJECT CODE : MA 2265 MATERIAL NAME : Formula Material MATERIAL CODE : JM08ADM009 (Sca the above QR code for the direct dowload of this material) Name of the Studet:

More information

CS 683: Advanced Design and Analysis of Algorithms

CS 683: Advanced Design and Analysis of Algorithms CS 683: Advaced Desig ad Aalysis of Algorithms Lecture 6, February 1, 2008 Lecturer: Joh Hopcroft Scribes: Shaomei Wu, Etha Feldma February 7, 2008 1 Threshold for k CNF Satisfiability I the previous lecture,

More information

On Geometric-Arithmetic Indices of (Molecular) Trees, Unicyclic Graphs and Bicyclic Graphs

On Geometric-Arithmetic Indices of (Molecular) Trees, Unicyclic Graphs and Bicyclic Graphs MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 66 (20) 68-697 ISSN 0340-623 On Geometric-Arithmetic Indices of (Molecular) Trees, Unicyclic Graphs and

More information

Octahedral Graph Scaling

Octahedral Graph Scaling Octahedral Graph Scalig Peter Russell Jauary 1, 2015 Abstract There is presetly o strog iterpretatio for the otio of -vertex graph scalig. This paper presets a ew defiitio for the term i the cotext of

More information

Exact Minimum Lower Bound Algorithm for Traveling Salesman Problem

Exact Minimum Lower Bound Algorithm for Traveling Salesman Problem Exact Miimum Lower Boud Algorithm for Travelig Salesma Problem Mohamed Eleiche GeoTiba Systems mohamed.eleiche@gmail.com Abstract The miimum-travel-cost algorithm is a dyamic programmig algorithm to compute

More information

1.2 Binomial Coefficients and Subsets

1.2 Binomial Coefficients and Subsets 1.2. BINOMIAL COEFFICIENTS AND SUBSETS 13 1.2 Biomial Coefficiets ad Subsets 1.2-1 The loop below is part of a program to determie the umber of triagles formed by poits i the plae. for i =1 to for j =

More information

Lecture 6. Lecturer: Ronitt Rubinfeld Scribes: Chen Ziv, Eliav Buchnik, Ophir Arie, Jonathan Gradstein

Lecture 6. Lecturer: Ronitt Rubinfeld Scribes: Chen Ziv, Eliav Buchnik, Ophir Arie, Jonathan Gradstein 068.670 Subliear Time Algorithms November, 0 Lecture 6 Lecturer: Roitt Rubifeld Scribes: Che Ziv, Eliav Buchik, Ophir Arie, Joatha Gradstei Lesso overview. Usig the oracle reductio framework for approximatig

More information

4-Prime cordiality of some cycle related graphs

4-Prime cordiality of some cycle related graphs Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 193-9466 Vol. 1, Issue 1 (Jue 017), pp. 30 40 Applicatios ad Applied Mathematics: A Iteratioal Joural (AAM) 4-Prime cordiality of some cycle related

More information

Notes on Trees with Minimal Atom Bond Connectivity Index

Notes on Trees with Minimal Atom Bond Connectivity Index MATCH Communications in Mathematical and in Computer Chemistry MATCH Commun. Math. Comput. Chem. 67 (2012) 467-482 ISSN 0340-6253 Notes on Trees with Minimal Atom Bond Connectivity Index Ivan Gutman, Boris

More information

arxiv: v1 [math.co] 15 Jun 2011

arxiv: v1 [math.co] 15 Jun 2011 O the extremal properties of the average eccetricity arxiv:1106.987v1 [math.co] 15 Ju 011 Aleksadar Ilić Faculty of Scieces ad Mathematics, Višegradska 33, 18 000 Niš Uiversity of Niš, Serbia e-mail: aleksadari@gmail.com

More information

LU Decomposition Method

LU Decomposition Method SOLUTION OF SIMULTANEOUS LINEAR EQUATIONS LU Decompositio Method Jamie Traha, Autar Kaw, Kevi Marti Uiversity of South Florida Uited States of America kaw@eg.usf.edu http://umericalmethods.eg.usf.edu Itroductio

More information

Graphs ORD SFO LAX DFW

Graphs ORD SFO LAX DFW Graphs SFO 337 1843 802 ORD LAX 1233 DFW Graphs A graph is a pair (V, E), where V is a set of odes, called vertices E is a collectio of pairs of vertices, called edges Vertices ad edges are positios ad

More information

Average Connectivity and Average Edge-connectivity in Graphs

Average Connectivity and Average Edge-connectivity in Graphs Average Coectivity ad Average Edge-coectivity i Graphs Jaehoo Kim, Suil O July 1, 01 Abstract Coectivity ad edge-coectivity of a graph measure the difficulty of breakig the graph apart, but they are very

More information

Thompson s Group F (p + 1) is not Minimally Almost Convex

Thompson s Group F (p + 1) is not Minimally Almost Convex Thompso s Group F (p + ) is ot Miimally Almost Covex Claire Wladis Thompso s Group F (p + ). A Descriptio of F (p + ) Thompso s group F (p + ) ca be defied as the group of piecewiseliear orietatio-preservig

More information

Rainbow Vertex Coloring for Line, Middle, Central, Total Graph of Comb Graph

Rainbow Vertex Coloring for Line, Middle, Central, Total Graph of Comb Graph Idia Joural of Sciece ad Techology, Vol 9(S, DOI: 0.7485/ijst/206/v9iS/97463, December 206 ISSN (Prit : 0974-6846 ISSN (Olie : 0974-5645 Raibow Vertex Colorig for Lie, Middle, Cetral, Total Graph of Comb

More information

Random Graphs and Complex Networks T

Random Graphs and Complex Networks T Radom Graphs ad Complex Networks T-79.7003 Charalampos E. Tsourakakis Aalto Uiversity Lecture 3 7 September 013 Aoucemet Homework 1 is out, due i two weeks from ow. Exercises: Probabilistic iequalities

More information

On Spectral Theory Of K-n- Arithmetic Mean Idempotent Matrices On Posets

On 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 information

MAXIMUM MATCHINGS IN COMPLETE MULTIPARTITE GRAPHS

MAXIMUM MATCHINGS IN COMPLETE MULTIPARTITE GRAPHS Fura Uiversity Electroic Joural of Udergraduate Matheatics Volue 00, 1996 6-16 MAXIMUM MATCHINGS IN COMPLETE MULTIPARTITE GRAPHS DAVID SITTON Abstract. How ay edges ca there be i a axiu atchig i a coplete

More information

MINIMUM CROSSINGS IN JOIN OF GRAPHS WITH PATHS AND CYCLES

MINIMUM CROSSINGS IN JOIN OF GRAPHS WITH PATHS AND CYCLES 3 Acta Electrotechica et Iformatica, Vol. 1, No. 3, 01, 3 37, DOI: 10.478/v10198-01-008-0 MINIMUM CROSSINGS IN JOIN OF GRAPHS WITH PATHS AND CYCLES Mariá KLEŠČ, Matúš VALO Departmet of Mathematics ad Theoretical

More information

Load balanced Parallel Prime Number Generator with Sieve of Eratosthenes on Cluster Computers *

Load balanced Parallel Prime Number Generator with Sieve of Eratosthenes on Cluster Computers * Load balaced Parallel Prime umber Geerator with Sieve of Eratosthees o luster omputers * Soowook Hwag*, Kyusik hug**, ad Dogseug Kim* *Departmet of Electrical Egieerig Korea Uiversity Seoul, -, Rep. of

More information

ANN WHICH COVERS MLP AND RBF

ANN WHICH COVERS MLP AND RBF ANN WHICH COVERS MLP AND RBF Josef Boští, Jaromír Kual Faculty of Nuclear Scieces ad Physical Egieerig, CTU i Prague Departmet of Software Egieerig Abstract Two basic types of artificial eural etwors Multi

More information

SD vs. SD + One of the most important uses of sample statistics is to estimate the corresponding population parameters.

SD vs. SD + One of the most important uses of sample statistics is to estimate the corresponding population parameters. SD vs. SD + Oe of the most importat uses of sample statistics is to estimate the correspodig populatio parameters. The mea of a represetative sample is a good estimate of the mea of the populatio that

More information

Spanning Maximal Planar Subgraphs of Random Graphs

Spanning Maximal Planar Subgraphs of Random Graphs Spaig Maximal Plaar Subgraphs of Radom Graphs 6. Bollobiis* Departmet of Mathematics, Louisiaa State Uiversity, Bato Rouge, LA 70803 A. M. Frieze? Departmet of Mathematics, Caregie-Mello Uiversity, Pittsburgh,

More information

c-dominating Sets for Families of Graphs

c-dominating Sets for Families of Graphs c-domiatig Sets for Families of Graphs Kelsie Syder Mathematics Uiversity of Mary Washigto April 6, 011 1 Abstract The topic of domiatio i graphs has a rich history, begiig with chess ethusiasts i the

More information

Pattern Recognition Systems Lab 1 Least Mean Squares

Pattern Recognition Systems Lab 1 Least Mean Squares Patter Recogitio Systems Lab 1 Least Mea Squares 1. Objectives This laboratory work itroduces the OpeCV-based framework used throughout the course. I this assigmet a lie is fitted to a set of poits usig

More information

The Closest Line to a Data Set in the Plane. David Gurney Southeastern Louisiana University Hammond, Louisiana

The Closest Line to a Data Set in the Plane. David Gurney Southeastern Louisiana University Hammond, Louisiana The Closest Lie to a Data Set i the Plae David Gurey Southeaster Louisiaa Uiversity Hammod, Louisiaa ABSTRACT This paper looks at three differet measures of distace betwee a lie ad a data set i the plae:

More information

Planar graphs. Definition. A graph is planar if it can be drawn on the plane in such a way that no two edges cross each other.

Planar graphs. Definition. A graph is planar if it can be drawn on the plane in such a way that no two edges cross each other. Plaar graphs Defiitio. A graph is plaar if it ca be draw o the plae i such a way that o two edges cross each other. Example: Face 1 Face 2 Exercise: Which of the followig graphs are plaar? K, P, C, K,m,

More information

Force Network Analysis using Complementary Energy

Force Network Analysis using Complementary Energy orce Network Aalysis usig Complemetary Eergy Adrew BORGART Assistat Professor Delft Uiversity of Techology Delft, The Netherlads A.Borgart@tudelft.l Yaick LIEM Studet Delft Uiversity of Techology Delft,

More information

Linear Time-Invariant Systems

Linear Time-Invariant Systems 9/9/00 LIEAR TIE-IVARIAT SYSTES Uit, d Part Liear Time-Ivariat Sstems A importat class of discrete-time sstem cosists of those that are Liear Priciple of superpositio Time-ivariat dela of the iput sequece

More information

Novel Encryption Schemes Based on Catalan Numbers

Novel Encryption Schemes Based on Catalan Numbers D. Sravaa Kumar, H. Sueetha, A. hadrasekhar / Iteratioal Joural of Egieerig Research ad Applicatios (IJERA) ISSN: 48-96 www.iera.com Novel Ecryptio Schemes Based o atala Numbers 1 D. Sravaa Kumar H. Sueetha

More information

condition w i B i S maximum u i

condition w i B i S maximum u i ecture 10 Dyamic Programmig 10.1 Kapsack Problem November 1, 2004 ecturer: Kamal Jai Notes: Tobias Holgers We are give a set of items U = {a 1, a 2,..., a }. Each item has a weight w i Z + ad a utility

More information

Subtrees of a random tree

Subtrees of a random tree Subtrees of a radom tree Bogumi l Kamiński Pawe l Pra lat November 21, 2018 Abstract Let T be a radom tree take uiformly at radom from the family of labelled trees o vertices. I this ote, we provide bouds

More information

Fast Fourier Transform (FFT) Algorithms

Fast Fourier Transform (FFT) Algorithms Fast Fourier Trasform FFT Algorithms Relatio to the z-trasform elsewhere, ozero, z x z X x [ ] 2 ~ elsewhere,, ~ e j x X x x π j e z z X X π 2 ~ The DFS X represets evely spaced samples of the z- trasform

More information

ON A PROBLEM OF C. E. SHANNON IN GRAPH THEORY

ON A PROBLEM OF C. E. SHANNON IN GRAPH THEORY ON A PROBLEM OF C. E. SHANNON IN GRAPH THEORY m. rosefeld1 1. Itroductio. We cosider i this paper oly fiite odirected graphs without multiple edges ad we assume that o each vertex of the graph there is

More information

Counting Regions in the Plane and More 1

Counting Regions in the Plane and More 1 Coutig Regios i the Plae ad More 1 by Zvezdelia Stakova Berkeley Math Circle Itermediate I Group September 016 1. Overarchig Problem Problem 1 Regios i a Circle. The vertices of a polygos are arraged o

More information

Sorting in Linear Time. Data Structures and Algorithms Andrei Bulatov

Sorting in Linear Time. Data Structures and Algorithms Andrei Bulatov Sortig i Liear Time Data Structures ad Algorithms Adrei Bulatov Algorithms Sortig i Liear Time 7-2 Compariso Sorts The oly test that all the algorithms we have cosidered so far is compariso The oly iformatio

More information

The metric dimension of Cayley digraphs

The metric dimension of Cayley digraphs Discrete Mathematics 306 (2006 31 41 www.elsevier.com/locate/disc The metric dimesio of Cayley digraphs Melodie Fehr, Shoda Gosseli 1, Ortrud R. Oellerma 2 Departmet of Mathematics ad Statistics, The Uiversity

More information

Minimum Spanning Trees

Minimum Spanning Trees Presetatio for use with the textbook, lgorithm esig ad pplicatios, by M. T. Goodrich ad R. Tamassia, Wiley, 0 Miimum Spaig Trees 0 Goodrich ad Tamassia Miimum Spaig Trees pplicatio: oectig a Network Suppose

More information

( n+1 2 ) , position=(7+1)/2 =4,(median is observation #4) Median=10lb

( n+1 2 ) , position=(7+1)/2 =4,(median is observation #4) Median=10lb Chapter 3 Descriptive Measures Measures of Ceter (Cetral Tedecy) These measures will tell us where is the ceter of our data or where most typical value of a data set lies Mode the value that occurs most

More information

Alpha Individual Solutions MAΘ National Convention 2013

Alpha Individual Solutions MAΘ National Convention 2013 Alpha Idividual Solutios MAΘ Natioal Covetio 0 Aswers:. D. A. C 4. D 5. C 6. B 7. A 8. C 9. D 0. B. B. A. D 4. C 5. A 6. C 7. B 8. A 9. A 0. C. E. B. D 4. C 5. A 6. D 7. B 8. C 9. D 0. B TB. 570 TB. 5

More information