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Finding Large Hidden Clique in Random Graph Noga lon Michael Krivelevich and Benny Sudakov Department of Mathematics Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University Tel Aviv

Finding Large Hidden Clique in Random Graph Noga lon Michael Krivelevich and Benny Sudakov Department of Mathematics Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University Tel Aviv

  • jane-oiler
  • 10 Slides

tauacil krivelev mathtauacil sudakov mathtauacil R...

JOURNAL OF COMBINATORIAL THEORY Series B Note Spectral Bounds for the Clique and Independence Numbers of Graphs HERBERT S

JOURNAL OF COMBINATORIAL THEORY Series B Note Spectral Bounds for the Clique and Independence Numbers of Graphs HERBERT S

  • tatyana-admore
  • 5 Slides

WLLF Department of Mathematics University of Penn...

CLIQUE DOMINATION AND CLIQUE PACKING PROBLEMS ON DUALL

CLIQUE DOMINATION AND CLIQUE PACKING PROBLEMS ON DUALL

  • liane-varnes
  • 19 Slides

CHEPOI AND FEODOR F DRAGAN SIAM J D ISCRETE ATH 1...

Optimal Deterministic Routing and Sorting on the Conge

Optimal Deterministic Routing and Sorting on the Conge

  • danika-pritchard
  • 9 Slides

mitedu ABSTRACT Consider a clique of nodes where i...

The densest subgraph problem on clique graphs M

The densest subgraph problem on clique graphs M

  • danika-pritchard
  • 15 Slides

Liazi I Milis F Pascual and V Zissimopoulos Dep...

NARC;CLIQUE(=)5.10all

NARC;CLIQUE(=)5.10all

  • luanne-stotts
  • 4 Slides

496 incomparable DESCRIPTIONLINKSGRAPH OriginInspi...

Introduction to Algorithms

Introduction to Algorithms

  • olivia-moreira
  • 19 Slides

. NP-Complete. CSE 680. Prof. Roger Crawfis. Pol...

Eugene Lim

Eugene Lim

  • kittie-lecroy
  • 55 Slides

Clique Percolation Method. (CPM). What is CPM?. A...

Community Detection and Graph-based Clustering

Community Detection and Graph-based Clustering

  • lois-ondreau
  • 47 Slides

Adapted from Chapter 3. Of. Lei Tang and . Huan. ...

Community Detection and Evaluation

Community Detection and Evaluation

  • test
  • 46 Slides

Chapter 3. 1. Chapter 3, . Community Detection an...

Computational Challenges with

Computational Challenges with

  • danika-pritchard
  • 125 Slides

Cliques, Quasi-Cliques and Clique Partitions in G...

Movie theatre service on brightness and volume range leadin

Movie theatre service on brightness and volume range leadin

  • pamella-moone
  • 23 Slides

to maximum . clique graph. By,. Usha Kavirayani....

Introduction

Introduction

  • faustina-dinatale
  • 48 Slides

to . Graph . Cluster Analysis. Outline. Introduct...

Rooted Routing Using Structural Decompositions

Rooted Routing Using Structural Decompositions

  • cheryl-pisano
  • 67 Slides

Jiao Tong University . Shanghai, China . June 17,...

Undergraduate Research

Undergraduate Research

  • ellena-manuel
  • 40 Slides

Nicholas Celms. Undergraduate . BioMath. Program...

Cliques

Cliques

  • liane-varnes
  • 17 Slides

The truth about…. Look at this cartoon . Frien...

Denser than the Densest Subgraph:

Denser than the Densest Subgraph:

  • tatiana-dople
  • 37 Slides

Extracting Optimal Quasi-Cliques with Quality . G...

Matroid

Matroid

  • faustina-dinatale
  • 42 Slides

Secretary for Regular and Decomposable Matroids....

NP-Completeness

NP-Completeness

  • myesha-ticknor
  • 44 Slides

Dr. Yingwu Zhu. Chapter 34. 2. NP-Completeness. P...

Inthelanguageofunionofgraphs,Theorem1.2is:Theorem1.3.LetBandRbetwointe

Inthelanguageofunionofgraphs,Theorem1.2is:Theorem1.3.LetBandRbetwointe

  • olivia-moreira
  • 100 Slides

Lemma3.1.LetB;RbeC4-freegraphswithvertexsetV,letCb...

Lower Bounds on the Communication of Distributed Graph Algo

Lower Bounds on the Communication of Distributed Graph Algo

  • ellena-manuel
  • 40 Slides

Progress and Obstacles. Rotem Oshman. ADGA 2013. ...

Kernel Bounds for Structural Parameterizations of

Kernel Bounds for Structural Parameterizations of

  • tatyana-admore
  • 26 Slides

Pathwidth. Bart M. P. Jansen. Joint work with . H...

Vocabulary

Vocabulary

  • tatyana-admore
  • 26 Slides

Unit . 13. Level D. 1. . Ad infinitum. . (adv.) ...

CS 253:

CS 253:

  • tawny-fly
  • 27 Slides

Algorithms. Chapter 34. NP-Completeness. 2. Optim...

NP-Complete problems

NP-Complete problems

  • cheryl-pisano
  • 72 Slides

Admin. Last assignment out today (yay!). Review t...

The K clique Densest Subgraph Problem

The K clique Densest Subgraph Problem

  • cheryl-pisano
  • 100 Slides

10 ].However,frequentlythedensestsubgraphprob-lemf...

When intuition is wrong

When intuition is wrong

  • tatiana-dople
  • 73 Slides

Heuristics for clique and maximum clique. Patrick...

What were the key features of the Warlord Period?

What were the key features of the Warlord Period?

  • yoshiko-marsland
  • 22 Slides

L/O – To identify the causes, events and signif...

Name:Age::Clique:::Asset:::

Name:Age::Clique:::Asset:::

  • mitsue-stanley
  • 100 Slides

Intelligence OOOOOWitsResolveOOOOOOOOOOStrengthDex...

P, NP, NP-Complete Problems

P, NP, NP-Complete Problems

  • phoebe-click
  • 21 Slides

Polynomial Problems (P Family). The set of proble...

Cohesive

Cohesive

  • alida-meadow
  • 11 Slides

Subgroups. Chapter 7. Feb 20, 2009. Definition of...

Winner-takes-all: Competing Viruses or Ideas on fair-play N

Winner-takes-all: Competing Viruses or Ideas on fair-play N

  • natalia-silvester
  • 52 Slides

B. Aditya Prakash. , Alex . Beutel. , . Roni. R...

Αλγοριθμική Θεωρία

Αλγοριθμική Θεωρία

  • celsa-spraggs
  • 86 Slides

. Γραφημάτων . Διάλεξη . 3. Τ...

Instantly Decodable Network Codes for Real-Time Application

Instantly Decodable Network Codes for Real-Time Application

  • lindy-dunigan
  • 25 Slides

Anh. . Le, . Arash. . Tehrani. , . Alex . Dimak...

NP-Complete Reductions

NP-Complete Reductions

  • stefany-barnette
  • 63 Slides

CS302, Spring 2013. David Kauchak. Admin. Last as...

ScalableLargeNear-CliqueDetectioninLarge-ScaleNetworksviaSamplingMicha

ScalableLargeNear-CliqueDetectioninLarge-ScaleNetworksviaSamplingMicha

  • pamella-moone
  • 100 Slides

41 ].Inthispaperwefocusonafamilyofpoly-timesolvabl...

Algorithms and Data Structures for Fast Computations on Net

Algorithms and Data Structures for Fast Computations on Net

  • trish-goza
  • 22 Slides

Michael T. Goodrich. Dept. of Computer . Science....

1 Selecting leader in a clique in

1 Selecting leader in a clique in

  • luanne-stotts
  • 146 Slides

O (n log n). By Pierre A.Humblet. Presented by: A...

Preliminaries–Computational Problem

Preliminaries–Computational Problem

  • olivia-moreira
  • 6 Slides

Given a set of real numbers, output a sequence, ....

Bayesianism

Bayesianism

  • min-jolicoeur
  • 24 Slides

, Convexity, and the quest towards Optimal Algori...

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