Symmetric Class 0 subgraphs of complete graphs
|
|
- Roland Horton
- 5 years ago
- Views:
Transcription
1 DIMACS Techical Report 0-0 November 0 Symmetric Class 0 subgraphs of complete graphs Vi de Silva Departmet of Mathematics Pomoa College Claremot, CA, USA Chaig Verbec, Jr. Becer Friedma Istitute Booth School of Busiess Uiversity of Chicago Chicago, IL, USA November 0 Eugee Fiorii DIMACS Rutgers Uiversity Piscataway, NJ, USA Abstract I graph pebblig, a coected graph is called Class 0 if it has a pebblig umber equal to its umber of vertices. This paper addresses the questio of whe it is possible to edge-partitio a complete graph ito complemetary Class 0 subgraphs. We defie the otio of -Class 0 graphs: a graph G is -Class 0 if it cotais edge-disjoit subgraphs, where each subgraph is Class 0. We ext preset a family of -Class 0 graphs for =, showig that for 9, K is -Class 0. We fially provide a probabilistic argumet to prove that N, N such that K ca be edge-partitioed ito cyclically symmetric subgraphs of diameter ad coectivity 3: that is K is -Class 0.
2 Itroductio I the traditioal pebblig framewor for a graph G, we defie a pebblig distributio P : V(G) N which places a umber of pebbles o each vertex of the graph[]. A legal pebblig move cosists of taig two pebbles from oe vertex ad removig them from the graph, while addig oe pebble to a adjacet vertex. May problems i graph pebblig relate to the pebblig umber π(g) of the graph (the miimum umber of pebbles required such that ay pebblig distributio placig that may pebbles o the graph will allow for ay target vertex to be reached through a series of pebblig moves). I this paper we will study the partitioig of complete graphs ito complimetary cyclically symmetric Class 0 subgraphs. We defie the otio of -Class 0 graphs: a graph G is -Class 0 if it cotais edge-disjoit subgraphs, where each subgraph is Class 0. To provide cotext, oe ca cosider a multi-colored relative of the classic graph pebblig problem. The game i questio is a geeralizatio of graph pebblig to a versio with players, each represetig oe of colors which are assiged to both pebbles ad edges (see [] for a similar game). Whe ca the edges of a graph be colored with colors, such that each implies a Class 0 subgraph? We show that for a give atural, there exists a such that the complete graph o vertices ca be edge-partitioed ito circularly symmetric Class 0 subgraphs, ad hece is -Class 0. We ll begi by itroducig defiitios relevat to -Class 0 graphs, as well as a ow sufficiet coditio for a graph to be Class 0: diameter ad 3-coectivity (D3C). We preset a set of costructive operatios o D3C graphs, ad fid a family of -Class 0 graphs. We the itroduce a costructio for cyclically symmetric subgraphs of complete graphs. We fially preset a probabilistic argumet to prove our mai result. Defiitios ad Framewor Recall the followig importat defiitios from stadard graph pebblig [3]: Defiitio. A pebblig move cosists of the removal of two pebbles from a sigle vertex ad addig oe to a adjacet vertex. Defiitio. The pebblig umber for a graph G, π(g), is the miimum umber such that ay distributio of π(g) pebbles o G will allow for ay target vertex to be reached by a series of pebblig moves. It is clear that π(g) V (G). Defiitio. A graph G is Class 0 if π(g) = V (G). We itroduce the followig pertiet defiitio cocerig Class 0 subgraphs of a Class 0 graph. Defiitio. A graph G o vertices is cosidered -Class 0 if it cotais edge-disjoit Class 0 subgraphs spaig vertices.
3 A graph which is -Class 0 ca hece be partitioed ito subgraphs, leavig room for a -player graph pebblig game with each player movig o a Class 0 subgraph of the iitial graph. It is clear that beig -Class 0 is a mootoe property i graph edges; that is, addig edges to a graph which is already -Class 0 will leave it -Class 0. Note also that these subgraphs do ot eed to be a precise decompositio; uassiged edges wo t affect -Class 0 by mootoicity. Two properties of graphs which are relevat i the discussio of Class 0 graphs are diameter ad coectivity. Defiitio. Let G be a coected graph. The the diameter of G, diam(g), is the greatest distace betwee ay pair of vertices. Defiitio. A graph G graph is said to be -coected if there does ot exist a set of vertices whose removal discoects the graph. By covetio, we require G to either have + or greater vertices, or be the complete graph o + vertices. For a give graph, the maximum such that the graph is -coected is writte as κ(g), the graph s vertex coectivity. Ituititively, oe ca see that graphs of smaller diameter are more liely to be Class 0, ad that low coectivity prevet a graph from beig Class 0. There has bee much wor doe characterizig Class 0 graphs, but oe result which is used multiple times i our paper is give here. Theorem (Clare, et. al.). If diam(g) =, ad κ(g) 3, the G is of Class 0 [4]. It will be coveiet to defie this subset of Class 0 graphs, as results i this paper wor directly with diameter ad coectivity as a sufficiet coditio for Class 0. Defiitio. We call a graph D3C if it has diameter ad is 3-coected. From the previous theorem, we see that the D3C coditio is stroger tha that of Class 0. I particular, this coditio implies that almost all graphs are Class 0, sice almost all graphs are D3C [4]. While D3C is a sufficiet coditio for beig Class 0, it is ot ecessary; a subsequet theorem [5] states that there exists a fuctio (d), bouded i d (d) d+3, such that if G is a graph of diameter d, ad κ(g) d (d), the G is of Class 0. Below we preset a example of a Class 0 graph with high coectivity but diameter greater tha. Example. Cosider the icosahedro, a graph with 5-regular vertices, alteratively defied as havig 0 equilateral triagle faces. Oe ca show that the icosahedro has diameter 3 ad is 5-coected, but is Class 0. Note that the coectivity does ot lie withi the bouds of the fuctio (d) guarateed by the theorem metioed above [5]. 3 Operatios o D3C Graphs We ow preset a pair of operatios o graphs which preserve D3C. 3
4 Defiitio (Strog Product). Give graphs G ad H, we ll defie G H as a graph with vertex set equal to the Cartesia Product of V (G) ad V (H), ad a edge relatio such that (u i, v i )(u j, v j ) E(G H) if ay oe of the followig holds: (i) u i u j E(G) ad v i = v j (ii) u i = u j ad v i v j E(H) (iii) u i u j E(G) ad v i v j E(H) We call this the Strog Product of the two graphs. Defiitio (Vertex Splittig). Let G be a graph o vertices, ad v V (G). We split the vertex v to form graph G v, duplicatig the vertex by addig v 0, ad coectig v 0 by a edge to all adjacecies of v. Note that G v is ow a graph o + vertices. I particular, we fid that both strog products ad vertex splittig preserve D3C across ay umber of subgraphs. Theorem. Let G ad H be graphs which ca be edge-partitioed ito D3C graphs. The G H ca be edge-partitioed ito D3C graphs, ad hece is -Class 0. Theorem. Let G be a graph which ca be edge-partitioed ito D3C graphs. The for ay v V (G), G v ca be edge-partitioed ito D3C graphs, ad hece is -Class 0. Sice we ca show that K 9 is -Class 0 by example (see Figure ), a cosequece of Theorem is our first family of -Class 0 graphs. Theorem 3. For 9, complete graphs of the form K ca be partitioed ito two D3C subgraphs, ad i particular are -Class 0. 4 Cyclic Costructios While the previous sectio provides a family of -Class 0 graphs ad two costructive operatios o D3C graphs, the ext will itroduce a cocrete costructio for this family whe is odd. This cyclically symmetric costructio will lay the foudatio for the existece result i the fial sectio. Defiitio (Cyclic Costructio). Let N, S = {,..., }. Let A = {a, a,...} S, ad defie C (A) = C (a, a,...) as the graph o vertices v, v,..., v, where v i v j E(C (A)) if ad oly if j i = ±m mod for some m A. Remar. Note that C (A) is symmetric uder cyclic permutatios of v,..., v, ad is a subgraph of K. Note also that it suffices to cosider S with cardiality, as paths to the vertices of the opposite half will follow by symmetry. Remar. Partitioig the edges of the graph ito cyclically symmetric subgraphs is equivalet to partitioig the set S = {,,..., } ito subsets A,..., A such that the elemets of a give subset will represet the edge legths uiquely attributed to that subgraph accordig to our cyclic costructio. Moreover, it is clear that K = C (S) = C (A ) C (A ). 4
5 G = C 9 (, ) G c = C 9 (3, 4) K 9 Figure : -Class 0 costructio for = 9 Example. We ow focus o the particular subgraph costructio that will be relevat i the ext proof. Let r {, 3,...}, ad cosider G = C 4r+ (,..., r) ad G c = C 4r+ (r +,..., r). We more clearly illustrate this costructio whe r =, = 9 i Figure. I Figure, S = {,, 3, 4}, where A = {, } ad A = {3, 4} defie C 9 (, ) ad C 9 (3, 4). Note also that K 9 = C 9 (, ) C 9 (3, 4). C (A) i geeral appears to be highly coected. The followig lemma gives a example of whe 3-coectivity is guarateed. Lemma 4. Let N, A S = {,..., }, ad cosider C (A). If A cotais a elemet s such that gcd(s, ) =, ad at least oe other elemet, the C (A) is 3-coected. Proof. Let s, t S such that s ad are coprime, ad cosider C(s, t). Startig with a particular vertex v 0, we relabel the vertices v 0, v, v,..., v as v 0, v s, v s,..., v ( )s, to show that C (s, t) C (, s t). From a arbitrary -vertex cut, we are left with at most two coected compoets from the circular path of edge-legth aloe (see Figure ). Oe of the resultig arcs must have less tha or equal to the umber of vertices i the other, ad we label the vertices circularly such that we removed v 0, v for. Sice s t ad the arc cotaiig our vertex is smaller, we have + s t <. This implies that a edge coects v to a vertex (ot v 0 ) i the opposite arc, from which we coclude that the two arcs are coected, ad the graph itself is 3-coected. We surmise that the actual coectivity coditio is stroger, but this lemma suffices. By restrictig ourself to a prime umber of vertices i a complete graph, ay subpartitio with two or more edge legths will be 3-coected. Theorem 5. Complete graphs of the form K 4r+ for r =, 3,... ca be edge-partitioed ito two cyclically symmetric D3C subgraphs C 4r+ (,..., r) ad C 4r+ (r +,..., r), ad hece are -Class 0. 5
6 K = C (S) C () C () \ {v, v 8 } C (, 3) \ {v, v 8 } Figure : Illustratio of proof method of Theorem 5 where =, s =, t = 3. It is clear that as log as s t, the two compoets must be coected by a elemet of the subgraph geerated by t. Proof. Let r {, 3, }, ad let H = K 4r+. We ow show that usig the cyclic costructio above, G = C 4r+ (,,..., r) ad its complemet i H, G c = C 4r+ (r +,..., r), are Class 0 by showig that they are D3C. Claim: G, G c are 3-coected. We ote that A is relatively prime to 4r +, ad r A is as well. Sice both A, A cotai multiple elemets, by Lemma 4 the two subgraphs are each 3-coected. Claim: diam(g) = diam(g c ) =. Let v, w V (G) such that vw / E(G). Sice both v ad w are coected to r vertices, but there are oly 4r remaiig distict vertices i G, the v ad w must have a commo eighbor, implyig that there is a two-path betwee them. Sice the same logic follows for G c, diam(g) = diam(g c ) =. We have thus show that whe = 9, 3,..., K ca be edge-partitioed ito two cyclically symmetric D3C graphs, ad hece is Class 0. Through a similar method, we ca exted a similar costructio to graphs of the form K 4r+3, for r =, 3,..., i which the umber of possible eighbors for a give vertex is odd but ot divisible by 4. Theorem 6. Complete graphs of the form K 4r+3 for r =, 3,... ca be edge-partitioed ito two cyclically symmetric D3C subgraphs C 4r+3 (,..., r + ) ad C 4r+ (r + 3,..., r + ), ad hece are -Class 0. Both of these cyclic costructios are for complete graphs with odd umbers of vertices. A ope questio we have is whe it is possible to create cyclically symmetric partitios for K 0, K,...? I Figure 4, we ca use the cyclic costructio for K 9 to demostrate the effect of vertex splittig i creatig a partitio of K 0, showig that it ideed ca be partitioed ito two D3C subgraphs. However it is possible to show that K 0 is ot symmetric -Class 0, ad we as for what eve-vertex complete graphs it is possible. Aother questio is to fid families of costructios for partitioig complete graphs ito > subgraphs which are D3C; we tacle this problem through a differet approach i the ext sectio. 6
7 G G c K Figure 3: -Class 0 costructio for K Figure 4: Splittig v 9 to form -Class 0 K 0 from K 9 5 Existece of -Class 0 graphs for all We will ow prove the existece of a -Class 0 decompositio for each N. I particular, we ivoe the probabilistic method to show that there exists a N such that K ca be edge-partitioed ito cyclically symmetric Class 0 subgraphs. We first show that for each N, there is some N such that K ca be edgepartitioed ito disjoit cyclically symmetric subgraphs, each of which has diameter. To do so, we will prove that for each >, there is a such that each subgraph i a radom decompositio of K ito symmetric subgraphs has diameter. We ca abstract this problem to oe of basic additive umber theory, i which the additio or subtractio of ay two elemets of a set A S represets a two-path to a vertex correspodig to the resultig elemet of S, ad the size of the subsequet sum ad differece set relates to the umber of elemets oe ca reach via a two-path. To clarify this arithmetic, we defie the dihedral sumset as follows. Defiitio. Let N, S = {,..., }, ad A S. The we defie the dihedral sumset 7
8 Partitioig complete graphs o vertices ito =8 symmetric subgraphs Partitioig complete graphs o vertices ito =0 symmetric subgraphs Approx. Probability that first subgraph has diameter Approx. Probability that first subgraph has diameter Number of Vertices () Number of Vertices () Method: We let N be a prime umber, ad fix some N to be the umber of partitios of the complete graph K. Next, we cosider a radom permutatio of,..., ad tae (i order) elemets out at a time, each of which correspods to a radom selectio of a appropriately sized partitio of K such that there will be a total of partitios. We the attempt a simulatio, i which we tae radom selectios of appropriately sized subsets of S for various K, ad evaluate the size of their dihedral sumset. We chose prime graph sizes i order to deal with the 3-coected coditio; the explaatio of this lies i Lemma 4. I this figure we preset the simulated probability that a give radom symmetric subgraph of a complete graph with a prime umber of vertices (x-axis) will be successfully of diameter, i.e. that the dihedral sumset geerated by the correspodig A S is sufficietly large. Figure 5: Simulated probability that a radomly selected subgraph of a complete graph o a prime umber p of vertices will have diameter of A to be the set A A = {x S : x = a + b or x = b a or x = (a + b), for a, b A, b a} Our defiitio of dihedral arithmetic exhausts the ways that oe ca use a pair of edge legths to reach vertices aroud the graph. This is i compariso to the typical sumset, which uder modulo is defied as A+A = {x S : x = a+b mod, for a, b A} [6]. Propositio 7. C (A) has diameter if ad oly if A A = S =. I fact, C (A) has diameter less tha or equal to if ad oly if A A A = S. }{{} times This is ituitive; each additioal dihedral sumset operatio correspods to legth of a path betwee two elemets. We also are iterested i whe a x S ca be reached via two-path usig elemets of a set A. Defiitio. For a give x S, we cosider pairs of elemets a, b S, a b such that either a + b = x, b a = x, or (a + b) = x. We call the evet that both are icluded i a particular subset A a pair evet (a, b) for x i S. We ca get some ituitio o where this probabilistic argumet comes from looig at Figure 5. I simulatio, the larger the size of the complete graph (ad hece the larger the size of a radom subgraph, for fixed ), the more liely the subgraph will be of diameter. The proof begis below. 8
9 Evet class Miimum umber of disjoit evets { (, x ),..., ( x, x )} x {( x, x ) (, x, x ) } { +,... max x, x } { ( 3 (, x + ), (, x + ),..., x, )} ( ) x Figure 6: Distict idepedet pair evets for x i S. Theorem 8. Let N, S = {,..., }. x S, there are at least f() = 8 + pair evets i S, {(a, b ),..., (a f(), b f() )}, such that a,..., a f(), b,..., b f() are all distict elemets of S. Proof. Fix v 0 K as 0, ad cosider some x S as a target, correspodig to v x. Figure 6 presets the umber of distict idepedet pair evets for x S. We deote the classes of evet pairs by the order of their rows i Figure 6 as,, ad 3. There exists oe more possibility: that x itself is a elemet of A S. Groupig this sigle elemet evet with class, we defie f (, x) = x +, f (, x) = max { x, x }, ad f 3 (, x) = ( x). We ote that f 3 is wealy decreasig i x ad f is wealy icreasig i x, ad hece the itersectio of the two fuctios will yield a lower boud for the umber of idepedet pair evets for x. We defie a fuctio f(, x) which selects the greatest umber of idepedet pairs depedig o x, as below: { f (, x) if x f 0 (, x) = 4 f 3 (, x) if x < 4 This will boud the smallest umber of idepedet pair evets. The miimum of this fuctio o S is achieved whe x + = ( x), which occurs whe x =. 4 The miimum for this fuctio will be equivalet to +, ad thus there exist at least 8 f() = + distict pair evets i S for each x S. 8 Defiitio (Idepedet sortig process). We utilize the followig process to sort elemets of S ito distict partitios: we radomly assig each elemet of S to a partitio of A i with probability that a particular partitio will ed up cotaiig a particular elemet. Hece, from the perspective of the partitio itself each elemet will be placed idepedetly with probability. Theorem 9. For N ad N, let A,..., A be defied accordig to the idepedet sortig process. The lim P (diam(c (A i )) = for all i {,..., }) =. I particular, the probability that at least oe of A,..., A is ot of diameter is bouded above by [ ( ) ] 8 + 9
10 Proof. We approach this usig a probabilistic argumet. Cosider the probability of beig able to reach some x S, give A i S. Sice we are assumig idepedet sortig of elemets of S ito partitios with probability, the probability that a sigle fixed pair evet fails will be bouded above by (. ) Sice we have at least f() = + idepedet evets, we ow that 8 P (all the evets fail for x) [ ( ) ] 8 + By this fact ad otig that there are exactly elemets i S, ad subsequetly [ P (at least oe x S is iaccessible i A i ) ( ) ] 8 + ( at least oe x S will be iaccessible P i some A,..., A ) [ ( ) ] 8 +. Hece, lim P (diam(c (A i )) = for all i {,..., }) = I particular, we have just show that for each N, there is some N such that K ca be edge-partitioed ito disjoit cyclically symmetric subgraphs, each of which has diameter. We ca ow coclude with the followig theorem. Theorem 0. For each N, there exists some N such that K ca be edge-partitioed ito cyclically symmetric D3C subgraphs. That is, there exists some large eough such that K is Class 0. Proof. Theorem 9 gives a probabilistic boud o the diameter coditio. To boud the 3-coectivity coditio, cosider the case of prime,, S = {,..., }, ad A,..., A defied accordig to the radom sortig process. It follows from Lemma 4 that restrictig ourselves to prime, for a partitio of S ito A,..., A accordig to our idepedet sortig process, as log as for each i N, A i has more tha oe elemet, the K is partitioable ito 3-coected subgraphs. Note that accordig to our sortig process, ( ) P ( A i ) = + Moreover, by the same logic as i the previous theorem, ( ( ) P ( A i for at least oe i) = + 0 ) ( )
11 Combiig the result from Theorem 9, ( P A i for at least oe i OR at least oe x S will be iaccessible i at least oe of the subsets ) ( ) + ( There exists a prime 0 large eough such that ( ) + ( ) [ + ) [ + ( ) ] 8 + ( ) ] 8 + ad hece there exists by probabilistic argumet a partitio of K 0 D3C subgraphs. ito symmetric 6 Future steps I Figure 7, for selected we ote the smallest -Class 0 complete graph guarateed by Theorem 0, alog with the smallest we have foud by ispectio. Number of partitios Best by asymptotic boud Best ow ? Figure 7: For fixed umber of partitios, existece result implied by theorem It is evidet that the existece result is ot by ay meas a tight boud. Amog possible future steps, we hope to: (i) Recocile the gap betwee smallest observed -Class 0 graphs ad the oes guarateed by probabilistic argumet. A first step would be to more clealy address the 3-coectivity result. (ii) Shift focus from complete graphs to large radom graphs, ad as the same questios. (iii) Ivestigate how strog products ad vertex splittig affect geeral Class 0 graphs, ad specifically assess the cojecture that vertex splittig preserves Class 0 o graphs with two vertices or more. (iv) Begi to aalyze strategies ad characteristics of the multicolor pebblig game.
12 Refereces [] F. R. Chug, Pebblig i hypercubes, SIAM Joural o Discrete Mathematics (989) [] G. Goraly ad R. Hassi, Multi-color pebble motio o graphs, Algorithmica (008). [3] G. Hurlbert, A survey of graph pebblig, Cogr. Numer 39 (999) [4] R. H. Clare, Tom ad G. Hurlbert, Pebblig i diameter two graphs ad products of paths, J. Graph Th. 5 (997) 9 8. [5] G. H. H. K. Czygriow, Adrej ad T. Trotter, A ote o graph pebblig., Graphs ad Combiatorics 8 (00) 9 5. [6] T. C. Tao ad V. H. Vu, Additive Combiatorics. Cambridge Uiversity Press, 006.
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 information1 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 informationCombination 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 informationCHAPTER 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 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 informationThe 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 informationn 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 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 informationAverage 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 informationA 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 informationOn 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 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 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 informationSome 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 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 informationRandom 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 informationGraphs. Minimum Spanning Trees. Slides by Rose Hoberman (CMU)
Graphs Miimum Spaig Trees Slides by Rose Hoberma (CMU) Problem: Layig Telephoe Wire Cetral office 2 Wirig: Naïve Approach Cetral office Expesive! 3 Wirig: Better Approach Cetral office Miimize the total
More informationCS 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 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 informationImproved 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 informationName 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 information1.2 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 informationSome 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 informationConvergence results for conditional expectations
Beroulli 11(4), 2005, 737 745 Covergece results for coditioal expectatios IRENE CRIMALDI 1 ad LUCA PRATELLI 2 1 Departmet of Mathematics, Uiversity of Bologa, Piazza di Porta Sa Doato 5, 40126 Bologa,
More information3. b. Present a combinatorial argument that for all positive integers n : : 2 n
. b. Preset a combiatorial argumet that for all positive itegers : : Cosider two distict sets A ad B each of size. Sice they are distict, the cardiality of A B is. The umber of ways of choosig a pair of
More informationPerhaps 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 informationAn 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 informationOnes 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 informationMAXIMUM 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 informationAlpha 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 informationVisualization 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 informationc-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 informationCounting 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 informationCounting 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 information6.854J / J Advanced Algorithms Fall 2008
MIT OpeCourseWare http://ocw.mit.edu 6.854J / 18.415J Advaced Algorithms Fall 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.415/6.854 Advaced Algorithms
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 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 informationMatrix representation of a solution of a combinatorial problem of the group theory
Matrix represetatio of a solutio of a combiatorial problem of the group theory Krasimir Yordzhev, Lilyaa Totia Faculty of Mathematics ad Natural Scieces South-West Uiversity 66 Iva Mihailov Str, 2700 Blagoevgrad,
More informationOctahedral 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 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 informationLecture 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 informationMinimum 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 informationXiaozhou (Steve) Li, Atri Rudra, Ram Swaminathan. HP Laboratories HPL Keyword(s): graph coloring; hardness of approximation
Flexible Colorig Xiaozhou (Steve) Li, Atri Rudra, Ram Swamiatha HP Laboratories HPL-2010-177 Keyword(s): graph colorig; hardess of approximatio Abstract: Motivated b y reliability cosideratios i data deduplicatio
More informationLecture 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 informationMinimum Spanning Trees. Application: Connecting a Network
Miimum Spaig Tree // : Presetatio for use with the textbook, lgorithm esig ad pplicatios, by M. T. oodrich ad R. Tamassia, Wiley, Miimum Spaig Trees oodrich ad Tamassia Miimum Spaig Trees pplicatio: oectig
More informationLecture 5. Counting Sort / Radix Sort
Lecture 5. Coutig Sort / Radix Sort T. H. Corme, C. E. Leiserso ad R. L. Rivest Itroductio to Algorithms, 3rd Editio, MIT Press, 2009 Sugkyukwa Uiversity Hyuseug Choo choo@skku.edu Copyright 2000-2018
More informationAn 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 information15-859E: Advanced Algorithms CMU, Spring 2015 Lecture #2: Randomized MST and MST Verification January 14, 2015
15-859E: Advaced Algorithms CMU, Sprig 2015 Lecture #2: Radomized MST ad MST Verificatio Jauary 14, 2015 Lecturer: Aupam Gupta Scribe: Yu Zhao 1 Prelimiaries I this lecture we are talkig about two cotets:
More informationPattern 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 informationcondition 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 informationLecturers: Sanjam Garg and Prasad Raghavendra Feb 21, Midterm 1 Solutions
U.C. Berkeley CS170 : Algorithms Midterm 1 Solutios Lecturers: Sajam Garg ad Prasad Raghavedra Feb 1, 017 Midterm 1 Solutios 1. (4 poits) For the directed graph below, fid all the strogly coected compoets
More informationMatrix Partitions of Split Graphs
Matrix Partitios of Split Graphs Tomás Feder, Pavol Hell, Ore Shklarsky Abstract arxiv:1306.1967v2 [cs.dm] 20 Ju 2013 Matrix partitio problems geeralize a umber of atural graph partitio problems, ad have
More informationMean 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 informationModule 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. Written in factored form it is easy to see that the roots are 2, 2, i,
CMPS A Itroductio to Programmig Programmig Assigmet 4 I this assigmet you will write a java program that determies the real roots of a polyomial that lie withi a specified rage. Recall that the roots (or
More informationOn Alliance Partitions and Bisection Width for Planar Graphs
Joural of Graph Algorithms ad Applicatios http://jgaa.ifo/ vol. 17, o. 6, pp. 599 614 (013) DOI: 10.7155/jgaa.00307 O Alliace Partitios ad Bisectio Width for Plaar Graphs Marti Olse 1 Morte Revsbæk 1 AU
More informationThe 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 informationBig-O Analysis. Asymptotics
Big-O Aalysis 1 Defiitio: Suppose that f() ad g() are oegative fuctios of. The we say that f() is O(g()) provided that there are costats C > 0 ad N > 0 such that for all > N, f() Cg(). Big-O expresses
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks and Queues Monday, February 12 / Tuesday, February 13
CIS Data Structures ad Algorithms with Java Sprig 08 Stacks ad Queues Moday, February / Tuesday, February Learig Goals Durig this lab, you will: Review stacks ad queues. Lear amortized ruig time aalysis
More informationCompactness 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 informationThe size Ramsey number of a directed path
The size Ramsey umber of a directed path Ido Be-Eliezer Michael Krivelevich Bey Sudakov May 25, 2010 Abstract Give a graph H, the size Ramsey umber r e (H, q) is the miimal umber m for which there is a
More information2 X = 2 X. The number of all permutations of a set X with n elements is. n! = n (n 1) (n 2) nn e n
1 Discrete Mathematics revisited. Facts to remember Give set X, the umber of subsets of X is give by X = X. The umber of all permutatios of a set X with elemets is! = ( 1) ( )... 1 e π. The umber ( ) k
More informationOn Nonblocking Folded-Clos Networks in Computer Communication Environments
O Noblockig Folded-Clos Networks i Computer Commuicatio Eviromets Xi Yua Departmet of Computer Sciece, Florida State Uiversity, Tallahassee, FL 3306 xyua@cs.fsu.edu Abstract Folded-Clos etworks, also referred
More informationSpanning 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 information4-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 informationCharacterizing graphs of maximum principal ratio
Characterizig graphs of maximum pricipal ratio Michael Tait ad Josh Tobi November 9, 05 Abstract The pricipal ratio of a coected graph, deoted γg, is the ratio of the maximum ad miimum etries of its first
More informationLower Bounds for Sorting
Liear Sortig Topics Covered: Lower Bouds for Sortig Coutig Sort Radix Sort Bucket Sort Lower Bouds for Sortig Compariso vs. o-compariso sortig Decisio tree model Worst case lower boud Compariso Sortig
More informationA 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 informationSorting 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 informationprerequisites: 6.046, 6.041/2, ability to do proofs Randomized algorithms: make random choices during run. Main benefits:
Itro Admiistrivia. Sigup sheet. prerequisites: 6.046, 6.041/2, ability to do proofs homework weekly (first ext week) collaboratio idepedet homeworks gradig requiremet term project books. questio: scribig?
More informationCIS 121 Data Structures and Algorithms with Java Fall Big-Oh Notation Tuesday, September 5 (Make-up Friday, September 8)
CIS 11 Data Structures ad Algorithms with Java Fall 017 Big-Oh Notatio Tuesday, September 5 (Make-up Friday, September 8) Learig Goals Review Big-Oh ad lear big/small omega/theta otatios Practice solvig
More informationProtected 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 informationPlanar 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 informationCSC 220: Computer Organization Unit 11 Basic Computer Organization and Design
College of Computer ad Iformatio Scieces Departmet of Computer Sciece CSC 220: Computer Orgaizatio Uit 11 Basic Computer Orgaizatio ad Desig 1 For the rest of the semester, we ll focus o computer architecture:
More informationOn Ryser s conjecture for t-intersecting and degree-bounded hypergraphs arxiv: v2 [math.co] 9 Dec 2017
O Ryser s cojecture for t-itersectig ad degree-bouded hypergraphs arxiv:1705.1004v [math.co] 9 Dec 017 Zoltá Király Departmet of Computer Sciece ad Egerváry Research Group (MTA-ELTE) Eötvös Uiversity Pázmáy
More informationThroughput-Delay Scaling in Wireless Networks with Constant-Size Packets
Throughput-Delay Scalig i Wireless Networks with Costat-Size Packets Abbas El Gamal, James Mamme, Balaji Prabhakar, Devavrat Shah Departmets of EE ad CS Staford Uiversity, CA 94305 Email: {abbas, jmamme,
More informationBig-O Analysis. Asymptotics
Big-O Aalysis 1 Defiitio: Suppose that f() ad g() are oegative fuctios of. The we say that f() is O(g()) provided that there are costats C > 0 ad N > 0 such that for all > N, f() Cg(). Big-O expresses
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks, Queues, and Heaps Monday, February 18 / Tuesday, February 19
CIS Data Structures ad Algorithms with Java Sprig 09 Stacks, Queues, ad Heaps Moday, February 8 / Tuesday, February 9 Stacks ad Queues Recall the stack ad queue ADTs (abstract data types from lecture.
More informationIMP: Superposer Integrated Morphometrics Package Superposition Tool
IMP: Superposer Itegrated Morphometrics Package Superpositio Tool Programmig by: David Lieber ( 03) Caisius College 200 Mai St. Buffalo, NY 4208 Cocept by: H. David Sheets, Dept. of Physics, Caisius College
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 informationRecursive Procedures. How can you model the relationship between consecutive terms of a sequence?
6. Recursive Procedures I Sectio 6.1, you used fuctio otatio to write a explicit formula to determie the value of ay term i a Sometimes it is easier to calculate oe term i a sequece usig the previous terms.
More informationMathematical Stat I: solutions of homework 1
Mathematical Stat I: solutios of homework Name: Studet Id N:. Suppose we tur over cards simultaeously from two well shuffled decks of ordiary playig cards. We say we obtai a exact match o a particular
More informationTHE 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 informationUSING TOPOLOGICAL METHODS TO FORCE MAXIMAL COMPLETE BIPARTITE SUBGRAPHS OF KNESER GRAPHS
USING TOPOLOGICAL METHODS TO FORCE MAXIMAL COMPLETE BIPARTITE SUBGRAPHS OF KNESER GRAPHS GWEN SPENCER AND FRANCIS EDWARD SU 1. Itroductio Sata likes to ru a lea ad efficiet toy-makig operatio. He also
More informationMajor CSL Write your name and entry no on every sheet of the answer script. Time 2 Hrs Max Marks 70
NOTE:. Attempt all seve questios. Major CSL 02 2. Write your ame ad etry o o every sheet of the aswer script. Time 2 Hrs Max Marks 70 Q No Q Q 2 Q 3 Q 4 Q 5 Q 6 Q 7 Total MM 6 2 4 0 8 4 6 70 Q. Write a
More informationImage Segmentation EEE 508
Image Segmetatio Objective: to determie (etract) object boudaries. It is a process of partitioig a image ito distict regios by groupig together eighborig piels based o some predefied similarity criterio.
More informationUNIT 1 RECURRENCE RELATIONS
UNIT RECURRENCE RELATIONS Structure Page No.. Itroductio 7. Objectives 7. Three Recurret Problems 8.3 More Recurreces.4 Defiitios 4.5 Divide ad Coquer 7.6 Summary 9.7 Solutios/Aswers. INTRODUCTION I the
More informationComputational Geometry
Computatioal Geometry Chapter 4 Liear programmig Duality Smallest eclosig disk O the Ageda Liear Programmig Slides courtesy of Craig Gotsma 4. 4. Liear Programmig - Example Defie: (amout amout cosumed
More informationThe 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 informationThe Platonic solids The five regular polyhedra
The Platoic solids The five regular polyhedra Ole Witt-Hase jauary 7 www.olewitthase.dk Cotets. Polygos.... Topologically cosideratios.... Euler s polyhedro theorem.... Regular ets o a sphere.... The dihedral
More informationMonochromatic Structures in Edge-coloured Graphs and Hypergraphs - A survey
Moochromatic Structures i Edge-coloured Graphs ad Hypergraphs - A survey Shiya Fujita 1, Hery Liu 2, ad Colto Magat 3 1 Iteratioal College of Arts ad Scieces Yokohama City Uiversity 22-2, Seto, Kaazawa-ku
More informationSome 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 informationAlgorithms Chapter 3 Growth of Functions
Algorithms Chapter 3 Growth of Fuctios Istructor: Chig Chi Li 林清池助理教授 chigchi.li@gmail.com Departmet of Computer Sciece ad Egieerig Natioal Taiwa Ocea Uiversity Outlie Asymptotic otatio Stadard otatios
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 informationChapter 3 Classification of FFT Processor Algorithms
Chapter Classificatio of FFT Processor Algorithms The computatioal complexity of the Discrete Fourier trasform (DFT) is very high. It requires () 2 complex multiplicatios ad () complex additios [5]. As
More informationAdministrative UNSUPERVISED LEARNING. Unsupervised learning. Supervised learning 11/25/13. Final project. No office hours today
Admiistrative Fial project No office hours today UNSUPERVISED LEARNING David Kauchak CS 451 Fall 2013 Supervised learig Usupervised learig label label 1 label 3 model/ predictor label 4 label 5 Supervised
More informationCS473-Algorithms I. Lecture 2. Asymptotic Notation. CS 473 Lecture 2 1
CS473-Algorithms I Lecture Asymptotic Notatio CS 473 Lecture 1 O-otatio (upper bouds) f() = O(g()) if positive costats c, 0 such that e.g., = O( 3 ) 0 f() cg(), 0 c 3 c c = 1 & 0 = or c = & 0 = 1 Asymptotic
More informationComputers and Scientific Thinking
Computers ad Scietific Thikig David Reed, Creighto Uiversity Chapter 15 JavaScript Strigs 1 Strigs as Objects so far, your iteractive Web pages have maipulated strigs i simple ways use text box to iput
More informationTheory 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 informationINSCRIBED CIRCLE OF GENERAL SEMI-REGULAR POLYGON AND SOME OF ITS FEATURES
INTERNATIONAL JOURNAL OF GEOMETRY Vol. 2 (2013), No. 1, 5-22 INSCRIBED CIRCLE OF GENERAL SEMI-REGULAR POLYGON AND SOME OF ITS FEATURES NENAD U. STOJANOVIĆ Abstract. If above each side of a regular polygo
More information