PPT-TRAVERSAL 2 Preorder Traversal

Preorder Traversal Start at root map Traverse the left subtree Traverse the right subtree 1 Khan 2 Jones 3 Williams 4 Lee 5 Roberts Khan 1 Jones 5 Williams 3 Lee 4 Roberts Inorder. 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 . Whitted. Ray Tracing. Ryan . Overbeck. . Columbia University. Ravi . Ramamoorthi. . Columbia University. William. R. Mark. University of Texas at Austin Intel Corporation. Current Real-time Ray Tracing. CS212 & CS-240. D.J. . Foreman. What is a Tree. A tree is a finite set of one or more nodes such that:. There is a specially designated node called the . root. The remaining nodes are partitioned into n>. 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. Min Chen. School of Computer Science and Engineering . Seoul National University. Data Structure: Chapter 6. Content. Definition of Trees. Representing Rooted Tree. Tree Traversal. Preorder Traversal. Jim Fawcett. CSE776 – Design Patterns. Fall 2014. . Intent. Provide a way to access elements of an aggregate object without exposing its underlying representation. Traverse many different data structures in a uniform way. Christiaan Gribble. Alexis Naveros. Ethan Kerzner. ACM SIGGRAPH Symposium on Interactive. 3D Graphics & Games. 15 March 2014. Raise awareness of . JCGT. paper. Overview. Algorithm. Performance. Dominik Klein, Matthias Hartmann, and . Michael Menth. Overview. Problem: Communication through NAT. Solution: NAT traversal mechanism. Idea. Flow charts. Summary & discussion. . . . Problem: Communication through NAT. 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) (. We will look at traversals of graphs. Breadth-first or depth-first traversals. Must avoid cycles. Depth-first traversals can be recursive or iterative. Problems that can be solved using traversals. Strategies. 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 . . -. Chinese Proverb. . CS 321 - Data Structures. 2. What is a . Tree?. In computer science, a tree is an . abstract . data type. representing a . hierarchical structure. A tree consists of nodes with a parent-child relation. . -. Chinese Proverb. . CLRS, Section 10.4. CS 321 - Data Structures. 2. What is a . Tree?. In computer science, a tree is . a . implementation-dependent data structure . representing . a . hierarchical .