EECS 281 Midterm Review Administrative ● Midterm is Wednesday (3/10). There are 3 starting times: ○ 9:00am – 11:20am (140min) ○ 3:00pm – 5:20pm (140min) ○ 9:00pm – 11:20pm (140min) ● Open notes / Internet, but DO NOT POST ANYTHING DURING THE EXAM ● No lab Mar 1-12 due to the midterm. General Exam Review […]
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02_Containers_and_Permutations Lecture 2 Stacks and Queues EECS 281: Data Structures & Algorithms Data Structures and Abstract Data Types Data Structures & Algorithms 3 Data Structures and ADTs • Need a way to store and organize data in order to facilitate access and modifications • An abstract data type (ADT) combines data with valid operations and
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23_Dynamic_Programming.pdf Lecture 23 Dynamic Programming / Memoization EECS 281: Data Structures & Algorithms Data Structures & Algorithms Dynamic Programming 3 Dynamic Programming • A primary advantage of a typical recursive algorithm is to divide the domain into independent sub-problems • Some recursive problems do not divide into independent sub-problems • Use Dynamic Programming (DP) –
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11_Quicksort Lecture 11 Quicksort EECS 281: Data Structures & Algorithms Quicksort Basics Data Structures & Algorithms Two Problems with Simple Sorts • They might compare every pair of elements – Learn only one piece of information/comparison – Contrast with binary search: learns n/2 pieces of information with first comparison • They often move elements one
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The University of Michigan Electrical Engineering & Computer Science EECS 281: Data Structures and Algorithms Winter 2018 MIDTERM EXAM Multiple Choice Portion KEY 2 – ANSWERS Wednesday February 21, 2018 6:30PM – 8:00PM (90 minutes) INSTRUCTIONS: • Select only ONE answer per question. • The exam is closed book and notes except for one 8.5”x11”
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Lecture 3 – Linked Lists Lecture 24 Knapsack Solved All Ways Shortest Path Algorithms EECS 281: Data Structures & Algorithms http://xkcd.com/287 Many http://xkcd.com/287/ Data Structures & Algorithms The Knapsack Problem 3 Knapsack Problem Defined • A thief robbing a safe finds it filled with N items – Items have various sizes (or weights) – Items
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20_MST.pdf EECS 281: Data Structures & Algorithms Lecture 20 Minimum Spanning Trees Data Structures & Algorithms Minimum Spanning Trees 3 The Minimum Spanning Tree Problem Given: edge-weighted, undirected graph G = (V, E) Find: subgraph T = (V, E’), E’ Í E such that § All vertices are pair-wise connected § The sum of all
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The University of Michigan Electrical Engineering & Computer Science EECS 281: Data Structures and Algorithms Winter 2015 MIDTERM EXAM, PRACTICE Wednesday February 25, 2015 7:10PM – 8:40PM (90 minutes) Name: Uniqname: Student ID: Discussion section: (circle one) MON 10:30 MON 3:00 MON 5:00 TUE 5:00 WED 9:30 WED 3:00 WED 4:30 THU 5:00 FRI 10:30
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25_Computational_Geometry.pdf Lecture 25 Computational Geometry EECS 281: Data Structures & Algorithms Data Structures & Algorithms Computational Geometry Overview Raster (Bitmap) Graphics Images on screen are represented by pixel arrays Same idea works for storing images in files • RGB: 3 colors per pixel, 1 byte per color • An 1920×1080 image would require ~6.22MB •
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21_Algorithm_Families.pdf Lecture 21 Algorithm Families EECS 281: Data Structures & Algorithms Outline • Brute-Force • Greedy • Divide and Conquer • Dynamic Programming • Backtracking • Branch and Bound 2 Data Structures & Algorithms Brute-Force & Greedy Algorithms Brute-Force Algorithms Definition: Solves a problem in the most simple, direct, or obvious way • Not distinguished
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