PPT-Graph Traversal Lecture 18

Graph Traversal Lecture 18 CS 2110 Spring 2019 JavaHyperText Topics Graphs topic 8 DFS BFS 2 Graph Representations 3 0 1 2 3 4 0 F F F F F 1 F F T T F 2 F F F F T 3 F F T F T 4 F F F F F. Jefferson . Amstutz (SURVICE). Johannes . Guenther (Intel). Ingo . Wald (Intel). Christiaan. . Gribble (SURVICE). The Multi-Hit Problem. Objective: find more than one (possibly all) hit point along the ray . Lindsay Mullen. (Abstract) Algebra and Number Theory. Combinatorics. (Discrete Mathematics). Graph Theory. Graph Coloring. What is Graph Theory?. Branch . of . mathematics . concerned with networks of points connected by . GDC 2009. David Hunt, BUNGIE. Bungie Autodesk Masterclass. Contents. Introduction: . Animation at Bungie. The Problem of Maya Scene Traversal. Solution:. Semantic Traversal. Building a Metadata Node Network. Lichun. Li. , Jun Wang, Yu . Meng. {li.lichun1, wang.jun17,meng.yu}@. zte.com.cn. draft-li-ppsp-nat-traversal-00. Terminology. STUN/TURN/proxy/relay peer. special PPSP peers providing NAT traversal services. Shou-pon. Lin. Advisor: Nicholas F. . Maxemchuk. Department. . of. . Electrical. . Engineering,. . Columbia. . University,. . New. . York,. . NY. . 10027. . Problem: . Markov decision process or Markov chain with exceedingly large state space. *Depth-First-Search(DFS). *Breadth-first-search(BFS). Cody Forrest. Depth & breadth. Depth Breadth. . . | |. A. E. F. G. H. A. G. F. E. I. H. B. B. C. C. D. D. B. B. C. C. What is a graph? . In simple words, . A graph is a set of vertices and edges which connect them.. A node (or vertex) is a discrete position in the graph. . An edge (or connection) is a link between two vertices. Topics to be discussed….. Trees Data Structures. Trees. Binary Search Trees. Tree traversal. Types of Binary Trees. Threaded binary trees. Applications . Trees Data Structures. Tree. Nodes. Each node can have 0 or more . Interpolation Search . Insertion Sort . quick review. DFS, BFS. Topological Sort. MA/CSSE 473 Day 12. Questions?. Interpolation Search. Insertion sort analysis. Depth-first Search. Breadth-first Search. A New Data Structure. Data Structures and Algorithms. ACA Summer School 2017. Why Graphs?. For example, given a network of cities and roads connecting them, what is the shortest path between two given cities?. Grant . Daniel . Kopta. Ian . Mallett. . . Cem. . Yuksel. . Erik Brunvand. University of Utah. Dual Streaming for Hardware-Accelerated Ray Tracing. HPG ’17 7.29.17. DRAM. Previous Work. Tree Definitions and ADT (. §7.1. ). Tree Traversal Algorithms for General Trees (preorder and postorder) (. §7.2. ). BinaryTrees (. §7.3. ). Data structures for trees (. §7.1.4 and §7.3.4. ). Traversals of Binary Trees (preorder, inorder, postorder) (. Steven Lindell . . Scott Weinstein. 4/4/2017. AMS Special Session. 1. Query theory. Definition. : A . relational. . structure. . S. = 〈. D. ; . R. ₁, …〉 is . a domain . D. with relations . Adjacency List. Adjacency-Matrix. Pointers/memory for each node (actually a form of adjacency list). Adjacency List. List of pointers for each vertex. Undirected Adjacency List. Adjacency List. The sum of the lengths of the adjacency lists is 2|E| in an undirected graph, and |E| in a directed graph..