PPT-Everyday Algorithms

David Davenport Computer Eng Dept Bilkent University Ankara Turkey email davidbilkentedutr a lightning introduction to algorithms IMPORTANT Students This presentation is designed to be used in class as part of a guided discovery sequence It is not selfexplanatory Please use it only for revision purposes after having taken the class Simply flicking through the slides will teach you nothing You must be actively thinking doing and questioning to learn. for Linear Algebra and Beyond. Jim . Demmel. EECS & Math Departments. UC Berkeley. 2. Why avoid communication? (1/3). Algorithms have two costs (measured in time or energy):. Arithmetic (FLOPS). Communication: moving data between . Rahul. . Santhanam. University of Edinburgh. Plan of the Talk. Preliminaries and Motivation. Informational Bottlenecks: Proof Complexity and Related Models. Computational Bottlenecks: OPP and Compression. Some of the fastest known algorithms for certain tasks rely on chance. Stochastic/Randomized Algorithms. Two common variations. Monte Carlo. Las Vegas. We have already encountered some of both in this class. 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. Chapter 4. Local search algorithms. Hill-climbing search. Simulated annealing search. Local beam search. Genetic algorithms. Outline. In many optimization problems, the . path. to the goal is irrelevant; the goal state itself is the . The Motivation For Discipleship . Everyday Discipleship. “If anyone desires to come after Me, let him deny himself, and take up his cross daily, and follow me” (. Lk. . 9:23).. A disciple is not above his teacher, nor a servant above his master. It is enough for a disciple that he be like his teacher, and a servant like his master…” (Mt. 10:24, 25a).. Disciples Making Disciples. Everyday Discipleship. “If anyone desires to come after Me, let him deny himself, and take up his cross daily, and follow me” (. Lk. . 9:23).. A disciple is not above his teacher, nor a servant above his master. It is enough for a disciple that he be like his teacher, and a servant like his master…” (Mt. 10:24, 25a).. Lars . Arge. Spring . 2012. February . 27, 2012. Lars Arge. I/O-algorithms. 2. Random Access Machine Model. Standard theoretical model of computation:. Infinite memory. Uniform access cost. R . A. M. 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. Did You Know?. 40% of adults hated math in school. 84% of middle schoolers would rather do “anything” other than math homework. Everyday Mathematics in the Classroom. Developed by the University of Chicago School Mathematics Project. Raman Veerappan. EPS 109 Final Project. Introduction. Goals. To examine various maze solving algorithms using MATLAB determine which algorithms are most effective for which mazes. Two main algorithms examined. . Environment. In Way of life and value. Transition. . . (associated . with circumstances. ). . Arch 570. Instructor: Arun Sen. Office: BYENG . 530. Tel: 480-965-6153. E-mail: asen@asu.edu. Office Hours: . MW 3:30-4:30 or by appointment. TA: . TBA. Office. : TBA. Tel: . TBA. E-mail: . TBA. Office Hours. : . Shika Kalevor MBE BSN RN . Teaching Fellow at Harvard Medical School Center for Bioethics. July 28, 2022. You may be filmed or photographed.. Please be aware that we are recording this presentation to be used in Seattle Children’s marketing materials, publications, website and/or social media channels. By participating in this event, you give Seattle Children’s permission to capture and publish photographic and video images of yourself. .