Mergesort - Samenvattingen, Aantekeningen en Examens
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COSC 2430 Computer Science (Data Structures) Exam #1
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COSC 2430 Computer Science (Data Structures) Exam #1 
 
Big-O: Quicksort - correct answer Time Complexity: 
******************** 
Best: Ω(n * log(n)) 
Avg: Θ(n * log(n)) 
Worst: O(n^2) 
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Space Complexity: 
******************** 
Worst: O(log(n)) 
******************** 
 
Big-O: Mergesort - correct answer Time Complexity: 
******************** 
Best: Ω(n * log(n)) 
Avg: Θ(n * log(n)) 
Worst: O(n * log(n))
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Cisc 220 final exam questions & answers 2024/2025
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Cisc 220 final exam questions & answers 2024/2025 
 
 
does calling by reference change the value? - ANSWERSyes 
 
does calling by value change the value? - ANSWERSno 
 
examples of by reference (2) - ANSWERSpointer to an array, pointer to an array of structs 
 
examples of by value (2) - ANSWERSpointer to a struct, pointer to an array in a struct 
 
list all of the sorting algorithms we have covered (9) - ANSWERSbubblesort, bucketsort, heapsort, insertionsort, mergesort, quicksort, radixsort, s...
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WGU C949 - Data Structures And Algorithms exam with 100% correct answers 2024
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WGU C949 - Data Structures And 
Algorithms exam with 100% correct answers 
2024 
Greedy Algorithm - answeran algorithm that follows problem solving heuristic of making 
optimal choices at each stage. Hopefully finds the global optimum. An example would be 
Kruskal's algorithm. 
Divide and Conquer - answerworks by recursively breaking down a problem into two or 
more sub problems until the problems become simple enough to be solved directly. An example 
would be mergesort. 
Recursive Algorithms ...
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WGU C949 - Data Structures And Algorithms exam with 100% correct answers 2024
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WGU C949 - Data Structures And 
Algorithms exam with 100% correct answers 
2024 
Greedy Algorithm - answeran algorithm that follows problem solving heuristic of making 
optimal choices at each stage. Hopefully finds the global optimum. An example would be 
Kruskal's algorithm. 
Divide and Conquer - answerworks by recursively breaking down a problem into two or 
more sub problems until the problems become simple enough to be solved directly. An example 
would be mergesort. 
Recursive Algorithms ...
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CS 6515 Final Review Questions and Correct Answers the Latest Update
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D&C Steps 
 1. Figure out your Black Box if needed. 
 ○ Sorted = Binary Search (usually) 
 ○ Unsorted = Merge sort (usually) 
 ○ Polynomials, convolution, multiplication = FFT(usually) 
 2. State the Modification if needed. You may use the blackbox as is. 
 ○ Which part of the black box you are changing. 
 ○ What are your inputs and outputs to the black box. 
 3. State the steps of your algorithm. 
 ○ NO PSEUDOCODE - use words 
 ○ Must include base case(s) if needed. 
 ○ Always r...
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CMPUT204: Introduction to Algorithms Final Exam
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CMPUT204: Introduction to Algorithms 
Final Exam 
Instructions. 
• This exam has 5 problems, each is worth 25pts. 
• You may answer all 5 problems, but your grade will be composed of the best 4 answers. 
• Closed books. 
• You may use a scientific calculator. 
• Collaborations of any kind are strictly forbidden. 
• Note: All logarithms are in base 2 unless specified otherwise. 
• You can use the fact that H(n) = Pn 
i=1 
1 
i = ln n + O(1) without proving it. 
1 
Problem 1. (25 pts...
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Data Structures and Algorithms Qs & As
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Data Structures and Algorithms 
 
A linked-list implementation of a stack guarantees constant time performance but requires more space than an array implementation. - Answer- TRUE 
Both implementations of pop and push guarantee constant time performance. Linked lists require additional memory (space) for storing a reference to the next node. 
 
An algorithm that uses 12n2 + 4n log n operations is a ∼n2 algorithm. - Answer- FALSE 
It is a ∼ 12n2 algorithm. 
 
Big-Oh notation is more precise t...
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Algoritmen Informatica - Samenvatting
- Samenvatting • 7 pagina's • 2023
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Samenvatting van verschillende soorten algoritmen die je moet kennen bij informatica: sorteeralgoritmen, standaardalgoritmen en zoekalgoritmen. Ook mergesort, quicksort en bubblesort worden uitgelegd met voorbeelden. Kortste pad algoritmen, het rugzakprobleem, het chinese postcodeprobleem, routeplanning en onoplosbare problemen worden uitgelegd.
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The University of Michigan Electrical Engineering & Computer Science EECS 281: Data Structures and Algorithms Winter 2021 Lab 10: Algorithm Families and Dynamic Programming
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The University of Michigan Electrical Engineering & Computer Science EECS 281: Data Structures and Algorithms Winter 2021 Lab 10: Algorithm Families and Dynamic Programming 1 Logistics 1. What dat e is the final exam? A. April 21, 2021 B. April 23, 2021 C. April 26, 2021 D. April 29, 2021 2. What date is the lab 10 autograder due? A. April 14, 2021 B. April 20, 2021 C. April 21, 2021 D. April 23, 2021 © 2021 Regents of the University of Michigan Page 2 of 10 EECS 281 Lab 10: Algorithm Families ...
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COMPLETE HANDWRITEEN DSA NOTES
- College aantekeningen • 75 pagina's • 2024
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Data Structures and Algorithms (DSA) are essential for efficient problem-solving in computer science. Data structures like arrays, linked lists, stacks, queues, trees, and graphs organize and store data for efficient access and modification. Algorithms are step-by-step procedures for calculations, data processing, and automated reasoning. Key algorithms include sorting (e.g., quicksort, mergesort), searching (e.g., binary search), and graph algorithms (e.g., Dijkstra's shortest path). Understan...
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