PPT-Design and Analysis of Algorithms

BFS DFS and topological sort Haidong Xue Summer 2012 at GSU What are BFS and DFS Two ambiguous terms search traversal Visit each of vertices once Eg tree walks of a binary search tree. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . Keyang. He. Discrete Mathematics. Basic Concepts. Algorithm . – . a . specific set of instructions for carrying out a procedure or solving a problem, usually with the requirement that the procedure terminate at some point. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . into . the Mathematics Classroom. Chris . paragreen. Bernie . mcgrath. I.T. subjects at KHS. No stand-alone subjects until . Yr. 10. Teaching of ICT “integrated into the curriculum”. Design technologies covered in the Arts. Antonio . Gomes. 31 August 2017. Outline. Disruptive. . Innovation. Competition. and . Regulation. Challenges. to . C. ompetition. Agencies. Big. Data. Algorithms. . and. . collusion. Competition. 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.. appeared in the 1950s and 1960s. used to find approximations in search problems. use principles of natural selection to find an optimized solution. part of evolutionary algorithms. What is it?. subset of evolutionary computation. Andrea Lui, MD, Fernando Verdugo, MD, Patricio Julio, MD, Carlos Piedra, MD, . Marianella. . . Seguel. , MD; Mauricio Moreno, MD, . Rodulfo. . Oyarzún. , MD, Instituto Nacional del Tórax. . Santiago of Chile . 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 1. Decrease-and-Conquer. Reduce . original problem . instance to . smaller . instance . of the same problem. Solve smaller . instance. Extend solution . of smaller . instance . to obtain solution to original instance. 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 . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 2 . Mutual Exclusion using atomic registers: Basic Topics. Version: . June 2014. Chapter 2. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 7 . Multiple resources. The dinning philosophers problem . Version: . June 2014. Chapter 7. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. Readings: [SG] Ch. 3. Chapter Outline:. Attributes of Algorithms. Measuring Efficiency of Algorithms. Simple Analysis of Algorithms. Polynomial vs Exponential Time Algorithms. Efficiency of Algorithms .