Plan School of Computing and Information Systems COMP90038 Algorithms and Complexity Tutorial Week 5 20–24 August 2018 Questions 23–26 are related to brute-force problem solving. There may not be time to cover more than two. The rest of the questions mostly relate to graphs and search. The exercises 23. Consider the subset-sum problem: Given a […]
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OptimizationTheoryandPractice Author(s) Imprint ISBN Permalink Pages Forst, Wilhelm; Hoffmann, Dieter Springer New York, 2010 9780387789774, 9780387789767 https://books.scholarsportal.info/en/read?id=/ ebooks/ebooks2/ springer/2011-02-17/2/9780387789774 1 to 34 Downloaded from Scholars Portal Books on 2018-08-30 Téléchargé de Scholars Portal Books sur 2018-08-30 1 Introduction 1.1 Examples of Optimization Problems Overdetermined Systems of Linear Equations Nonlinear Least Squares Problems Chebyshev Approximation Facility
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Plan School of Computing and Information Systems COMP90038 Algorithms and Complexity Tutorial Week 9 17–21 September 2018 Questions 56–59 are carried over, in case you missed some of those last week. If you missed other questions, you may have time to make up for that this week. The exercises 56. Make a max-heap out of
COMP90038 Algorithms and Complexity Lecture 2: Review of Basic Concepts (with thanks to Harald Søndergaard) Toby Murray toby.murray@unimelb.edu.au DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License Approaching a problem Can we cover this board with 31 • tiles of the following form?
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COMP90038 Algorithms and Complexity Lecture 3: Growth Rate and Algorithm Efficiency (with thanks to Harald Søndergaard) Toby Murray toby.murray@unimelb.edu.au DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License Update Compulsory Quizzes (first one closes Tuesday Week 3) Tutorials start this week Background knowledge
CISC 6525 Fall 2018 Artificial Intelligence Topics Covered 1. Computer Vision a. Virtual machine, use of OpenCv and use of ROS b. Image formation, image storage and image manipulation by computer c. Low level image operations: blurring, smoothing, sharpening, kernel operations d. Image segmentation, Cues for 3D structure, Stereovision, Optical flow e. Object Recognition 2.
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OPERATIONAL DECISION MAKING SYSTEMS Workgroup ISCE/BI Jean-Charles HUET Jean-charles.huet@efrei.fr What is simulated annealing? • It’s an algorithm for finding a good solution to an optimization problem 2 What’s an optimization problem? • It’s the problem of finding the best solution from all feasible solutions. (Wikipedia) 3 Canonical Example: Traveling Salesman 4 Canonical Example: Traveling Salesman
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COMP90038 Algorithms and Complexity Lecture 1: Introduction (with thanks to Harald Søndergaard) Toby Murray toby.murray@unimelb.edu.au DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License What we will learn about Data structures: e.g. stacks, queues, trees, priority queues, graphs Algorithms for various problems: e.g.
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COMP90038 Algorithms and Complexity Lecture 13: Priority Queues, Heaps and Heapsort (with thanks to Harald Søndergaard) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Where to find me? • My office is at the Peter Hall building (Room G.83) Where to find me? • My office is at the Peter Hall building (Room G.83) Where to
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COMP3331/9331 Computer Networks and Applications COMP 3331/COMP 9331 LIC: Nadeem Ahmed nadeem.ahmed@unsw.edu.au Course Outline & Logistics Course Outline 1 COMP3331/9331 Today’s Agenda • Course (non-technical) details • Logistics: How we will roll • What is this course about? • Introduction to Computer Networks (Chapter 1) Course Outline 2 COMP3331/9331 WebCMS Portal • • Everything is
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