About COMP9318 (2018 s1) Wei Wang @ CSE, UNSW February 24, 2018 Wei Wang @ CSE, UNSW About COMP9318 (2018 s1) Introduction Lecturer-in-charge: Prof. Wei Wang School of Computer Science and Engineering Office: K17 507 E-mail: weiw@cse Ext: 9385 7162 http: // www. cse. unsw. edu. au/ ~ weiw Research Interests: Knowledge graph / natural […]
C++ – Templates and Abstract Data Types C++ – Templates and Abstract Data Types December 15, 2017 C++ – Templates and Abstract Data Types Abstract Data Types A data type represents a set of values (think of int, char, etc) and defines a collection of operations (e.g + – *). An abstract data type (ADT)
1a For a worst case input of size N, Algorithm X has Θ(N) time complexity. i) Give a full explanation of the statement above. ii) What can you deduce about the time complexity of Algorithm X for any input? iii) Using the formal definition of Big Theta, show whether 7N + 5 = Θ(2N) is
cse3431-lecture2.key Vectors n-tuple: v 2 0 b · c = 0 b · c < 0 Perpendicular vectors Definition Vectors b and c are perpendicular iff b·c = 0 Also called normal or orthogonal It is easy to see that the standard unit vectors form an orthogonal basis: i·j = 0, j·k = 0, i·k
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1 INTRODUCTION A modem computer consists of one or more processors, some main memory, disks, printers, a keyboard, a mouse, a display, network interfaces, and various other input/output devices. All in all, a complex system. If every application pro grammer had to understand how all these things work in detail, no code would ever get
EECS 3401 3.0 Intro to AI and LP Dept. of Electrical Eng. & Computer Sci. Fall 2018 York University Assignment 1 Total marks: 75. Out: September 26 Due: October 15 at 23:59 Note: Your report for this assignment should be the result of your own individual work. Take care to avoid plagiarism (“copying”). You may
Numerical Optimisation Constraint optimisation: Interior point methods Numerical Optimisation Constraint optimisation: Interior point methods Marta M. Betcke m.betcke@ucl.ac.uk, Kiko Rullan f.rullan@cs.ucl.ac.uk Department of Computer Science, Centre for Medical Image Computing, Centre for Inverse Problems University College London Lecture 15 M.M. Betcke Numerical Optimisation Convex constraint optimisation problem Convex constraint optimization problem min x∈D⊂Rn f (x)
PowerPoint Presentation Lecture 1 Bjørn Sand Jensen bjorn.jensen@glasgow.ac.uk (Slides adopted from SE(M) 2016 by Dr Julie Williamson and slides from the OOSE book repository) Today’s Plan 10:05-10:55: What is software engineering? Housekeeping (and how to pass this class) Break 11:05-11:55: Software development process Requirements (mostly review) Long
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1. Involves keyboard control to allow the user to move the player in a 3D virtual environment; 2. The player must be limited in its movement so that it does not move outside the bounds of the level; 3. Different kinds of gems must spawn randomly in the level; 4. Collision detection between the player
Week 2 – Relational Data Model FIT2094 Database MONASH INFORMATION TECHNOLOGY 2 Overview ▪ Relational Model ▪ Relational Algebra 3 The Relational Model ▪ Introduced by CODD in 1970 – the fundamental basis for relational DBMS’s ▪ Basic structure is the mathematical concept of a RELATION mapped to the ‘concept’ of a table (tabular representation
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