CSL356 Aug 4,5,7 TUTORIAL SHEET 1 1. Given two positive numbers a and b, use Euclid’s algorithm to find integers s, t such that s · a + t · b = GCD(a, b). Prove the correctness of your algorithm by induction. Solution: We use induction. We we call GCD(a,b), and assuming a b, two […]
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INFO1105 2016 Semester 2, Assignment 2 October 10, 2016 Submission details • Due: Monday 24th of October 2016 at 9pm • Submit your report via Blackboard (turnitin). The report must be in pdf format, and cannot be handwritten. Note that your submission is not complete until you see the “Congratulations – your submission is complete!”
Lecture 2 Sequence Alignment Burr Settles IBS Summer Research Program 2008 bsettles@cs.wisc.edu www.cs.wisc.edu/~bsettles/ibs08/ Sequence Alignment: Task Definition • given: – a pair of sequences (DNA or protein) – a method for scoring a candidate alignment • do: – determine the correspondences between substrings in the sequences such that the similarity score is maximized Why Do
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Compilers and computer architecture: Just-in-time compilation Martin Berger December 2015 Recall the function of compilers Welcome to the cutting edge Welcome to the cutting edge Compilers are used to translate from programming languages humans can understand to machine code executable by computers. Compilers come in two forms: Conventionalahead-of-timecompilerswheretranslationis done once, long before program execution.
CSC373H Lecture 11 Dan Zingaro November 28, 2016 Traveling-Salesman Problem (TSP) Wehaveacomplete,undirectedgraphG=(V,E),witha nonnegative integer cost c(u, v) for each edge (u, v) The traveling-salesman problem (TSP) is to find a minimum-cost “tour” in the graph that starts at some vertex v, hits every other vertex exactly once, and then returns to v
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Program Analysis Term 1, 2015 Problem Sheet 5 1. Consider a long country road with houses scattered very sparsely along it. We can picture the road as a long line segment, with an eastern endpoint and a west- ern endpoint. The residents of all these houses are mobile phone users, so you want to place
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Assignment 2 – matelook Aims This assignment aims to give you: · experience in constructing a CGI script and Perl/Python programming generally, · practice in producing a complete CGI-based web site, · and an introduction to the issues involved in programming for the web. Note: the material in the lecture notes will not be sufficient by
CMP 3108, IMAGE PROCESSING LECTURE 7 MORPHOLOGY IMAGE PROCESSING Dr Xujiong Ye Lincoln School of Computer Science Mathematical Morphology • Basic morphological operators take as input: • Original (binary) image • Structuring element (SE) • Basic concepts: • Erosion and dilation • Opening and closing Quiz • Which morphology operator do you consider to apply?
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CSC373H Lecture 10 Dan Zingaro November 21, 2016 Knapsack Approximation Recall from last time that we want a fast approximation algorithm for the 0-1 knapsack problem Assume that each item i has wi ≤ W Our simple technique of taking highest to lowest vi /wi could be infinitely bad as an approximation
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Removing the minimum element from a heap Let min(H) denote the minimum element of a heap H. Find minimum value: Findmin(H). Easy! Return the value of the root. Remove minimum value: Removemin(H): Trickier. Remove the top element. Two heaps result: H1, H2. Problem: How do you combine them into a single heap? Suppose min(H1) <
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