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
|
|
- Evan Evans
- 5 years ago
- Views:
Transcription
1 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 set, E(G) deote the edge set. Let e(g) deote the umber of edges of G. It wí11 be assumed that G() has o loops or multiple edges. A graph G() is chordal (triagulated, rigid circuit) if every cycle of legth > 3 has a chord : amely a edge joiig two ocosecutive vertices o the cycle. The class of chordal graph iclude trees, k-trees, complete graphs ad iterval graphs. Chordal graphs have applicatio i facility locatio [], schedulig problems [8], ad i the solutio of sparse systems of liear equatio 110]. Such graphs are also kow to be perfect. Certai problems that are kow to be NP-hard for geeral graphs ca be solved i polyomial time for chordal graphs [6]. As a result, chordal graphs have bee studied by may, e.g. [1], (5]. If a graph is ot chordal, the followig questios are quite appropriate to ask : 1) What is the miimal set of ew edges to be added to the graph to make it chordal? ) What is the miimal set of edges to be deleted from the graph such that the resultig graph is a maximum chordal subgraph? Rose, Tarja ad Lueker have aswered 1) algorithmically [9]. I aswer to ) recetly Dearig, Shier, ad Warer [3] have developed a polyomial algorithm to geerate a maximal chordal subgraph. It may be poited out that their algorithm does ot geerate a maximum chordal subgraph. I aswer to 1) Erdos [4] showed that for some positive e > 0 f() > z - -c t This paper is i fial form ad will ot appear elsewhere. CONGRESSUS NUMERANTIUM, VOL. 39 (1983), pp
2 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 f() is the smallest iteger so that for every graph with vertices oe ca add <_ f() ew edges so that the resultig graph would be chordal. This ote determies asymptotically the miimum umber of edges to be deleted from the graph such that the resultig graph is a maximum chordal subgraph.. Deote by f() the smallest iteger such that every graph G() with vertices ca be made chordal be deletig <- f() edges of G(). Theorem 1. f() <- - ( 1+o(l»V 31 ~, where o(1) ' o as 1 Proof : Let T(,t) be the Tura graph [111, i.e. a complete t-partite graph with vertices with approximately vertices i each color t class. Let v l, y,.., v t deote the color classes. The umber of edges of T(,t) e(t,(,t)) CZ) - t Z (1-1) (1) Let G 1 be a spaig chordal subgraph of T(,t) havig maximum umber of edges. Clearly G 1 caot cotai ay cycle whose vertices are i t o differet color classes. Thus, the iduced subgraph of ay two color classes of G 1 must be a tree. Hece, e(g 1 ) ( t)( - 1) (-') 368
3 Let H be a spaig subgraph of T(,t) descríbrd as 1)elow : Cosider xí e l' í,. joi each k t : {x 1' x '.. ' x t ), xx to all vertices of V., i 4 j, j=1,,.., Clearly H is chordal beig a split graph 17). Also e(h) - ( Z)( - 1). Thus by () H is a spaig chordal subgraph of T(,t) of maximum size. The umber of edges to be deleted from T(,t) to obtai H is (1-t) - ()( t 1) t _ t++ t t Now take t =. The (3) becomes - ( 1+o(1))V ~~` where o(1) - 0 as ~ -. Thus, f(), - ( l+o(1)i 3/ Theorem. / f() < - (1 - e) 3 for every e > 0 if > 0 (e). Proof : We ca assume that G() has at least - (1 - e)d_^ 3/ edges. Suppose G() has () - e l edges ad that the largest chordal subgraph of G() has e edges. It suffices to prove e 3/ (1 - e) (4) Let rj > 0 be small, much smaller tha e. he costruct a subgraph G(m) cosistig of m vertices each of which has degree > (1-q). The co structío is as follows : delete from G() a vertex x l (if ay) of degree 5 (1-) ad cotiue this process as log as possible. Suppose after k such steps we obtai G(m) = G(x l`+1, x K+,.., x ) each vertex of which has degree > (1-). Claim k c C (5) t. 369
4 s., here C E depeds o E ad ad ot o. To prove the claim observe that if k = [C J] e(g()) < ( m) + k(l (-k) + k(1 - f) (6) + k - rlk 3/ ( - if CE is sufficietly large. Thus by (4) we have othig to prove, Cosider G(m). Assume that t is the largest positive iteger such that G(m) cotais a K t. The by Tura's theorem G(m) has at most M (1 - t) edges (7) Let Kt = (y l, y ' " ' yt). Now deg G(m) y i > (1-), for each i, i=1,,.., t. Adjoi all the edges joiig to each y to vertices outside of i K t. This produces a chordal subgraph with at least t((l-) - (t-1)) edges t(1-) - (8) Now if t = [4v], the (8) becomes 411 3/ (l-) - 16 which is 3/ / Thus, we get a chordal subgraph k,hose umber of edges > (9) This proves (4). Thus t < 4ti '1Q1 370
5 Now from (7) ad (8) ` el + e > mt t(1-) t > t t(1-) 16 (-k) t + t(1-) - 16 t t + t + t(1-q) 16 3/ C e, t + t(1-) - 16 (1-E),/- 3/ sice to + t is miimum if t = ad other terms ca be absorbed ito e 3/ Thus combiig theorems 1 ad we ca state Theorem 3. f() = - (1 + 0(1)) 3/. Perhaps the followig problem is of some iterest ad deserves some study. Let f( ;t) be the smallest iteger for which every G( ;f( ;t)) cotais a chordal subgraph of t edges. At the momet we oly kow that f(,) _ [4] + 1 (11) We do ot give the details of the proof of (11) but oly idicate some of the ecessary steps. We hope to retur to this problem i the future. Observe that the complete bipartite graph of white ad +1 black vertices immediately shot: that f(,)? 4. To prove the upper boud i (11) we oly remark that this immediately follows if our G(,[, ]+1) is assumed to be coected. For the by Tura's theorem our graph cotais a triagle ad by a simple argumet this triagle ca be exteded to a chordal graph of edges. If the graph is ot coected somewhat more 37 1
6 complicated methods are eeded, which as we stated we hope to discuss at aother occasio. Just oe more remark. It is well kow that every z graph of G( ;[ 4 ]+1) cotais a edge (x,,x ) ad o further vertices x i joied to both x l ad x. This implies i fact that f(,(l + t)) _ [4 ] + 1 for sufficietly small E > 0. Ackowledgemet The secod author thakfully ackowledges the partial support from the Natioal Sciece Foudatio Grat #ISP (EPSCoR) to do this research. 37
7 Refereces 1. P. Buema, "A characterizatio of rigid circuit graphs." Discrete "fathematícs, 9 (1974) R. Chadrasekara ad A. Tamir, "Polymoially bouded algorithms for locatig p-ceters o a tree." Discussio paper No. 358, Ceter for Mathematical Studies i Ecoomics ad Maagemet Sciece, -Northwester Uiversity, (1978). 3. P. M. Dearig, D. R. Shier, D. D. Warer, "Maximal Chordal Subgraphs." Clemso Uiversity Techical) Report ;'404, December P. Erdos, "Some ew applicatios of probability methods to combiatorial aalysis ad graph theory." Proc. 5th S. E. Cof. Combiatorics, Graph Theory, ad Computig, D. R. Fulkerso ad 0. A. Gross, "Icidece matrices ad iterval graphs." Pacific J. Math, 15 (1965) F. Gavril, "Algorithms for miimum collorig, maximum clique, miimum coverig by cliques, ad maximum idepedet set of chordal graph," SIAM J. Comput., 1 (197) M. Golumbic, "Algorithmic Graph Theory ad Perfect Graphs." Academic Press New York, (1980). 8 C. Papedimitrio ad M. Yaakakis, "Schedulig iterval-ordered tasks." SIAM J. Comput., 8 (1979) D. Rose, R. Tarja ad G. Lueker, "Algorithmic aspects of vertex elimiatio o graphs." SIAM J. Comput., 5 (1976) D. Rose, "A graph-theoretic study of the umerical solutio of sparse positive defiite systems of liear equatios." (R. Read, ed.), Graph Theory ad Computig, Academic Press, New York, (197) P. Tura, "O a extremal problem i graph theory." (I Hugaria), Mat. Fiz. Lapok, 48 (1941)
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 informationON 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 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 informationProject 2.5 Improved Euler Implementation
Project 2.5 Improved Euler Implemetatio Figure 2.5.10 i the text lists TI-85 ad BASIC programs implemetig the improved Euler method to approximate the solutio of the iitial value problem dy dx = x+ y,
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 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 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 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 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 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 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 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 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 information9.1. 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 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 informationFuzzy Minimal Solution of Dual Fully Fuzzy Matrix Equations
Iteratioal Coferece o Applied Mathematics, Simulatio ad Modellig (AMSM 2016) Fuzzy Miimal Solutio of Dual Fully Fuzzy Matrix Equatios Dequa Shag1 ad Xiaobi Guo2,* 1 Sciece Courses eachig Departmet, Gasu
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 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 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 informationSyddansk Universitet. The total irregularity of a graph. Abdo, H.; Brandt, S.; Dimitrov, D.
Syddask Uiversitet The total irregularity of a graph Abdo, H.; Bradt, S.; Dimitrov, D. Published i: Discrete Mathematics & Theoretical Computer Sciece Publicatio date: 014 Documet versio Publisher's PDF,
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 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 informationThompson 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 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 information3D 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 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 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 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 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 informationComputer Science Foundation Exam. August 12, Computer Science. Section 1A. No Calculators! KEY. Solutions and Grading Criteria.
Computer Sciece Foudatio Exam August, 005 Computer Sciece Sectio A No Calculators! Name: SSN: KEY Solutios ad Gradig Criteria Score: 50 I this sectio of the exam, there are four (4) problems. You must
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 informationLecture Notes on Integer Linear Programming
Lecture Notes o Iteger Liear Programmig Roel va de Broek October 15, 2018 These otes supplemet the material o (iteger) liear programmig covered by the lectures i the course Algorithms for Decisio Support.
More informationON THE DEFINITION OF A CLOSE-TO-CONVEX FUNCTION
I terat. J. Mh. & Math. Sci. Vol. (1978) 125-132 125 ON THE DEFINITION OF A CLOSE-TO-CONVEX FUNCTION A. W. GOODMAN ad E. B. SAFF* Mathematics Dept, Uiversity of South Florida Tampa, Florida 33620 Dedicated
More informationMINIMUM 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 informationAnalysis of Algorithms
Aalysis of Algorithms Ruig Time of a algorithm Ruig Time Upper Bouds Lower Bouds Examples Mathematical facts Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite
More informationExamples and Applications of Binary Search
Toy Gog ITEE Uiersity of Queeslad I the secod lecture last week we studied the biary search algorithm that soles the problem of determiig if a particular alue appears i a sorted list of iteger or ot. We
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 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 informationPseudocode ( 1.1) Analysis of Algorithms. Primitive Operations. Pseudocode Details. Running Time ( 1.1) Estimating performance
Aalysis of Algorithms Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite amout of time. Pseudocode ( 1.1) High-level descriptio of a algorithm More structured
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 informationOutline and Reading. Analysis of Algorithms. Running Time. Experimental Studies. Limitations of Experiments. Theoretical Analysis
Outlie ad Readig Aalysis of Algorithms Iput Algorithm Output Ruig time ( 3.) Pseudo-code ( 3.2) Coutig primitive operatios ( 3.3-3.) Asymptotic otatio ( 3.6) Asymptotic aalysis ( 3.7) Case study Aalysis
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 informationUniversity of Waterloo Department of Electrical and Computer Engineering ECE 250 Algorithms and Data Structures
Uiversity of Waterloo Departmet of Electrical ad Computer Egieerig ECE 250 Algorithms ad Data Structures Midterm Examiatio ( pages) Istructor: Douglas Harder February 7, 2004 7:30-9:00 Name (last, first)
More informationBOOLEAN 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 informationCubic Polynomial Curves with a Shape Parameter
roceedigs of the th WSEAS Iteratioal Coferece o Robotics Cotrol ad Maufacturig Techology Hagzhou Chia April -8 00 (pp5-70) Cubic olyomial Curves with a Shape arameter MO GUOLIANG ZHAO YANAN Iformatio ad
More informationBASED 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 information4-PRIME CORDIAL LABELING OF SOME DEGREE SPLITTING GRAPHS
Iteratioal Joural of Maagemet, IT & Egieerig Vol. 8 Issue 7, July 018, ISSN: 49-0558 Impact Factor: 7.119 Joural Homepage: Double-Blid Peer Reviewed Refereed Ope Access Iteratioal Joural - Icluded i the
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 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 informationAsymptotics of Pattern Avoidance in the Klazar Set Partition and Permutation-Tuple Settings Permutation Patterns 2017 Abstract
Asymptotics of Patter Avoiace i the Klazar Set Partitio a Permutatio-Tuple Settigs Permutatio Patters 2017 Abstract Bejami Guby Departmet of Mathematics Harvar Uiversity Cambrige, Massachusetts, U.S.A.
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 informationRelationship between augmented eccentric connectivity index and some other graph invariants
Iteratioal Joural of Advaced Mathematical Scieces, () (03) 6-3 Sciece Publishig Corporatio wwwsciecepubcocom/idexphp/ijams Relatioship betwee augmeted eccetric coectivity idex ad some other graph ivariats
More informationA NOTE ON COARSE GRAINED PARALLEL INTEGER SORTING
Chater 26 A NOTE ON COARSE GRAINED PARALLEL INTEGER SORTING A. Cha ad F. Dehe School of Comuter Sciece Carleto Uiversity Ottawa, Caada K1S 5B6 æ {acha,dehe}@scs.carleto.ca Abstract Keywords: We observe
More informationBezier curves. Figure 2 shows cubic Bezier curves for various control points. In a Bezier curve, only
Edited: Yeh-Liag Hsu (998--; recommeded: Yeh-Liag Hsu (--9; last updated: Yeh-Liag Hsu (9--7. Note: This is the course material for ME55 Geometric modelig ad computer graphics, Yua Ze Uiversity. art of
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 informationPrime 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 informationGraphs 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 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 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 18. Optimization in n dimensions
Lecture 8 Optimizatio i dimesios Itroductio We ow cosider the problem of miimizig a sigle scalar fuctio of variables, f x, where x=[ x, x,, x ]T. The D case ca be visualized as fidig the lowest poit of
More informationData Structures and Algorithms. Analysis of Algorithms
Data Structures ad Algorithms Aalysis of Algorithms Outlie Ruig time Pseudo-code Big-oh otatio Big-theta otatio Big-omega otatio Asymptotic algorithm aalysis Aalysis of Algorithms Iput Algorithm Output
More informationAlgorithms for Disk Covering Problems with the Most Points
Algorithms for Disk Coverig Problems with the Most Poits Bi Xiao Departmet of Computig Hog Kog Polytechic Uiversity Hug Hom, Kowloo, Hog Kog csbxiao@comp.polyu.edu.hk Qigfeg Zhuge, Yi He, Zili Shao, Edwi
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 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 informationHash Tables. Presentation for use with the textbook Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015.
Presetatio for use with the textbook Algorithm Desig ad Applicatios, by M. T. Goodrich ad R. Tamassia, Wiley, 2015 Hash Tables xkcd. http://xkcd.com/221/. Radom Number. Used with permissio uder Creative
More informationSolving Fuzzy Assignment Problem Using Fourier Elimination Method
Global Joural of Pure ad Applied Mathematics. ISSN 0973-768 Volume 3, Number 2 (207), pp. 453-462 Research Idia Publicatios http://www.ripublicatio.com Solvig Fuzzy Assigmet Problem Usig Fourier Elimiatio
More informationNumerical Methods Lecture 6 - Curve Fitting Techniques
Numerical Methods Lecture 6 - Curve Fittig Techiques Topics motivatio iterpolatio liear regressio higher order polyomial form expoetial form Curve fittig - motivatio For root fidig, we used a give fuctio
More informationLecture 28: Data Link Layer
Automatic Repeat Request (ARQ) 2. Go ack N ARQ Although the Stop ad Wait ARQ is very simple, you ca easily show that it has very the low efficiecy. The low efficiecy comes from the fact that the trasmittig
More informationCSE 2320 Notes 8: Sorting. (Last updated 10/3/18 7:16 PM) Idea: Take an unsorted (sub)array and partition into two subarrays such that.
CSE Notes 8: Sortig (Last updated //8 7:6 PM) CLRS 7.-7., 9., 8.-8. 8.A. QUICKSORT Cocepts Idea: Take a usorted (sub)array ad partitio ito two subarrays such that p q r x y z x y y z Pivot Customarily,
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 informationChapter 9. Pointers and Dynamic Arrays. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 9 Poiters ad Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 9.1 Poiters 9.2 Dyamic Arrays Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Slide 9-3
More informationHomework 1 Solutions MA 522 Fall 2017
Homework 1 Solutios MA 5 Fall 017 1. Cosider the searchig problem: Iput A sequece of umbers A = [a 1,..., a ] ad a value v. Output A idex i such that v = A[i] or the special value NIL if v does ot appear
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 information