/* * linearize.cpp * Univeristy of Michigan, Ann Arbor * EECS 281 W18E1 Q27. * SUBMIT ONLY THIS FILE TO GRADESCOPE. */ // Common #includes for convience. // No need to use them. // Remove any of them if you want. #include #include #include #include #include #include #include #include #include #include #include #include #include #include […]
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EECS281 Data Structures and Algorithms Sorting Questions for Midterm Review 1) The following are multiple choice questions. Only one answer is correct. Circle the correct answer. Each problem is worth 2 pts. For the best implementation of bubble sort discussed in class, an approximation of the number of comparisons and exchanges to sort an array
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06_Arrays_and_Containers Data Structures & Algorithms Arrays & Container Classes Data Structures & Algorithms Arrays in C & C++ Understanding and Using • You need to understand • How C arrays work, including multidimensional arrays • How C pointers work, including function pointers • How C strings work, including relevant library functions They are great for
19_Graph_Introduction.pdf Lecture 19 Graphs and Graph Algorithms EECS 281: Data Structures & Algorithms 1 Data Structures & Algorithms Defining Graphs Formal Definition: Graph • Definition: A graph G = (V, E) is a set of vertices V = {v1, v2, …} together with a set of edges E = {e1, e2, …} that connect pairs
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EECS 281 Data Structures and Algorithms EECS 281 Data Structures and Algorithms Mr. Marcus Darden Dr. Michał Dereziński Dr. Héctor Garcia-Ramirez Dr. David Paoletti Fall 2021 mailto: Other Staff Teaching Assistants • Clare Speer (GSI) • Haizhong Zheng (GSI) • Murali Mohan (GSI) • Omar Al-Ejel (GSI) • Wenfei Tang (GSI) • Aaron Weldy •
/* * find_subarray.cpp * Univeristy of Michigan, Ann Arbor * EECS 281 F18E1 Q26. * SUBMIT ONLY THIS FILE TO GRADESCOPE. */ // Common #includes for convience. // No need to use them. // Remove any of them if you want. #include #include #include #include #include #include #include #include #include #include #include #include #include #include
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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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