Graph theory
Hidden Markov Model and some applications in handwriting recognition.
How Do “Real” Networks Look? Networked Life MKSE 112 Prof. Michael Kearns.
Locality Sensitive Distributed Computing David Peleg Weizmann Institute.
Disaster Mitigation and Management
Groups, Graphs & Isospectrality Rami Band Ori Parzanchevski Gilad Ben-Shach Uzy Smilansky.
GRAPHS CHAPTER 1. Contents 1.Families of simple graphs 2.Metric space. 3.Valence, Grith and Cages 4.Isomorhpism, Matrices and Graph Invariants 5.Connectivity.
9.2 Graph Terminology and Special Types Graphs Basic Terminology Definition 1: Two vertices u and v in an undirected graph G are called adjacent (or neighbors)
UBI529 3. Distributed Graph Algorithms. 2 Distributed Algorithms Models Interprocess Communication method: accessing shared memory, point- to-point or.
Lecture 10: Graphs Graph Terminology Special Types of Graphs Representing Graphs Graph Isomorphism.
Graphs Simple graph G=(V,E) V = V(G) ={1,2,3,4} – vertices E = E(G) = {a,b,c,d,e} – edges Edge a has end- vertices 1 and 2. Vertices 1 and 2 are adjacent:
Graphs
