PPT-Graph Isomorphism Algorithms and networks
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Graph Isomorphism 2 Today Graph isomorphism definition Complexity isomorphism completeness The refinement heuristic Isomorphism for trees Rooted trees Unrooted trees
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Graph Isomorphism Algorithms and networks: Transcript
Graph Isomorphism 2 Today Graph isomorphism definition Complexity isomorphism completeness The refinement heuristic Isomorphism for trees Rooted trees Unrooted trees Graph Isomorphism 3 Graph Isomorphism. 1. Graph Algorithms. Many problems are naturally represented as graphs. Networks, Maps, Possible paths, Resource Flow, etc.. Ch. 3 focuses on algorithms to find connectivity in graphs. Ch. 4 focuses on algorithms to find paths within graphs. Lasserre. Gaps,. and Asymmetry of Random Graphs. Ryan O’Donnell (CMU). John Wright (CMU). Chenggang. Wu (. Tsinghua. ). Yuan Zhou (CMU). Hardness of . Robust Graph Isomorphism. ,. . Lasserre. Gaps,. Using the Ullman Algorithm for Graphical Matching. Iddo. . Aviram. OCR- a Brief Review. Optical character recognition. , usually abbreviated to . OCR. , is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. George Caragea, and Uzi Vishkin. University of Maryland. 1. Speaker. James Edwards. It has proven to be quite . difficult. to obtain significant performance improvements using current parallel computing platforms.. Arijit Khan, . Yinghui. Wu, Xifeng Yan. Department of Computer Science. University of California, Santa Barbara. {. arijitkhan. , . yinghui. , . xyan. }@. cs.ucsb.edu. Graph Data. 2. Graphs are everywhere.. Type: Tutorial Paper. Authors: . Arun. . Kejriwal. (Machine Zone Inc.), Sanjeev Kulkarni, . Karthik. . Ramasamy. (Twitter . I. nc.). Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . Section . 10.3. Representing Graphs: . Adjacency Lists. Definition. : An . adjacency list . can be used to represent a graph with no multiple edges by specifying the vertices that are adjacent to each vertex of the graph.. Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats Lecture 17: Shortest Paths. Catie Baker. Spring . 2015. Announcements. Homework . 4 due next Wednesday, May . 13th. Spring 2015. 2. CSE373: Data Structures & Algorithms. Graph Traversals. For an arbitrary graph and a starting node . Lecture . 17: More . Dijkstra. ’s. and. Minimum Spanning Trees. Aaron Bauer. Winter 2014. Dijkstra’s. Algorithm: Idea. Winter 2014. 2. CSE373: Data Structures & Algorithms. Initially, start node has cost 0 and all other nodes have cost . ). Prof. . Ralucca Gera, . Applied Mathematics Dept.. Naval Postgraduate School. Monterey, California. rgera@nps.edu. Excellence Through Knowledge. Learning Outcomes. I. dentify . network models and explain their structures. Announcements. Talk on technical interviews . today!. Gugenheim. 220 at 1:10 PM.. Para Exercise feedback soon.. P2 Feedback (hopefully) Saturday.. Announcements. Please fill out course evaluations..
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