Question 2 [15 marks] A tech company has just invented an AI algorithm for tracking engagement during Zoom sessions. This is hypothetical of course, though it is not too far fetched to have such feature in the near future. In this question, we are interested in student and instructor engagement during CS lectures. Engagement is […]
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Augmenting Data Structures CSC263 Week 5 Lecture 1 Augmented data structure = existing data structure modified to store additional information and/or perform additional operations 1. Choose data structure to augment 2. Determine the additional information 3. Check that additional information can be maintained during each original operation 4. Implement new operations Example: Ordered Sets {144,
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Question 5 [15 marks] You have been hired by a prominent company that builds graphics software to implement the ADT PixelSet. This is the description your client provides you: PixelSet is a set S of red, green, and blue pixels that are represented by triples (x, y, c). x and y are positive integers denoting
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Slide 1 Data Structures and Abstractions Binary Search Trees Lecture 29 * Introduction to ADS Sorted Data Stores As pointed out in the earlier lecture, trees are used for problem solving, game playing, virtual reality and data storage, amongst other things. When used for data storage they are always built so that the data is
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Tree Traversal • Many different algorithms for manipulating trees exist, but these algorithms have in common that they systematically visit all the nodes in the tree. • There are essentially two methods for visiting all nodes in a tree: • Depth-first traversal, • Breadth-first traversal. 373 © Dr Markus Lumpe, 2021 Depth-first Traversal • Pre-order
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avl.dvi Computer Science 263/B63 University of Toronto Design and Analysis of Data Structures NOTES ON AVL TREES by Vassos Hadzilacos Binary search trees work well in the average case, but they still have the drawback of linear worst case time complexity for all three operations (Search, Insert and Delete). Definition: A binary tree of height
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UNIVERSITY OF TASMANIA EXAMINATIONS FOR DEGREES AND DIPLOMAS June 2020 KIT205 Data Structures and Algorithms PRACTICE EXAM Examiners: Robert Ollington Time Allowed: TWO (2) hours Reading Time: FIFTEEN (15) minutes Instructions: There is a total of 120 marks available, and there are TWO
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AVL Trees CSC263 Week 4 Announcements • Test 1: June 19, 11:30am – 2pm EST • AVL handout • PS1 Tips • Check FAQ post before asking • Defining Random Variables • Q2 Tip Insert 4, 5, and 6 into the following tree the height of a tree rooted at v is the number of
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avl.dvi Computer Science 263/B63 University of Toronto Design and Analysis of Data Structures NOTES ON AVL TREES by Vassos Hadzilacos Binary search trees work well in the average case, but they still have the drawback of linear worst case time complexity for all three operations (Search, Insert and Delete). Definition: A binary tree of height
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Augmenting Data Structures CSC263 Week 5 Lecture 1 Augmented data structure = existing data structure modified to store additional information and/or perform additional operations 1. Choose data structure to augment 2. Determine the additional information 3. Check that additional information can be maintained during each original operation 4. Implement new operations Example: Ordered Sets {144,
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