Tutorial 1. Rotations (c) does improve overall balance: COMP20007 Design of Algorithms Week 10 Workshop Solutions (a) doesn’t improve overall balance: XL → LYAX AV VY (b) doesn’t improve overall balance: XL → LX UU U L → X U LX Balance factor listed below each node. Calculated by subtracting the height of the node’s […]
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COMP2100/COMP6442 Data Structures Part II – Lecture 3] Kin Chau [ Sid Chi 1 Recap from Previous Lecture • Binary search tree • At most two children for each node • Left child node is smaller than its parent node • Right child node is greater than its parent node • Can support dynamic set
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COMP2100/COMP6442 Data Structures Part III Sid Chi [Lecture 4] – Kin Chau 1 Recap from Previous Lecture • Balanced search tree • Belong to binary search tree • But with a height of O(log(n)) guaranteed for n items • Height h = maximum number of edges from the root to a leaf • Examples •
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COMP20007 Design of Algorithms B-trees Daniel Beck Lecture 15 Semester 1, 2021 1 Primary vs. Secondary Memories • Primary memory (RAM) 2 Primary vs. Secondary Memories • Primary memory (RAM) • Key comparisons are the most significant operation. • The paradigm we’ve seen so far. 2 Primary vs. Secondary Memories • Primary memory (RAM) •
ICT209 Data Structures and Abstractions EXAM 1 1. (a) (b) Write the truth table for a logical ‘and’: &&. 4. (a) [5 + 5 = 10] Explain the difference between pointer and reference parameters. Include diagrams of the stack in your explanation. char is one of the C++ standard types, list six (6) others. (c)
CSC 226 Algorithms & Data Structures II Nishant Mehta Lecture 1 http://xkcd.com/1667 The biggest difference between time and space is that you can’t reuse time. —Merrick Furst • An Algorithm is a sequence of unambiguous instructions for solving a problem for obtaining the desired output for any legitimate input in a finite amount of time.
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Hashing Nishant Mehta Lectures 16 and 17 Warm-up puzzle We have a deck of n distinct cards (where n is large) and repeatedly sample a card uniformly at random, with replacement. On average, how many cards do we need to draw before we see some card twice (that is, before we Jhave repeated a card)?
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Hashing Nishant Mehta Lecture 16 Warm-up puzzle We have a deck of n distinct cards (where n is large) and repeatedly sample a card uniformly at random, with replacement. On average, how many cards do we need to draw before we see some card twice (that is, before we Jhave repeated a card)? (a) !(n2)
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Hashing Nishant Mehta Lectures 16 and 17 Warm-up puzzle We have a deck of n distinct cards (where n is large) and repeatedly sample a card uniformly at random, with replacement. On average, how many cards do we need to draw before we see some card twice (that is, before we Jhave repeated a card)?
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\documentclass[12pt]{article} \usepackage[letterpaper, margin=0.5in]{geometry} \geometry{letterpaper} \usepackage[parfill]{parskip} \usepackage{framed} \usepackage{graphicx} \usepackage{amsmath} \usepackage{amssymb} \usepackage{qtree} \usepackage{makecell} \usepackage{lmodern} \renewcommand*\familydefault{\sfdefault} \usepackage{tikz} \usetikzlibrary{matrix} \usepackage{mathtools} \DeclarePairedDelimiter\ceil{\lceil}{\rceil} \DeclarePairedDelimiter\floor{\lfloor}{\rfloor} \DeclarePairedDelimiter\abs{\lvert}{\rvert}% \DeclarePairedDelimiter\norm{\lVert}{\rVert}% % \abs & \norm resizes brackets, starred version doesn’t \makeatletter \let\oldabs\abs \def\abs{\@ifstar{\oldabs}{\oldabs*}} % \let\oldnorm\norm \def\norm{\@ifstar{\oldnorm}{\oldnorm*}} \makeatother \newcommand\graytag[1]{\text{\textsl{\color{gray}{#1}}}} \newcommand\tab[1][0.5cm]{\hspace*{#1}} \newcommand\imp{\rightarrow} \newcommand\thfr{\tab \therefore \tab} \newcommand\sameas{\tab \equiv \tab} \title{CSC263 – Week 3, Lecture 1} \author{Cristyn Howard} \date{Monday, January
CS计算机代考程序代写 data structure AVL \documentclass[12pt]{article} Read More »