COURSE DESCRIPTION
This course presents fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their performance. Topics to be covered include graph algorithms, greedy algorithms, divide-and-conquer algorithms, dynamic programming, network flow algorithms, computational intractability, approximation algorithms, randomized algorithms, and quantum algorithms.
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CMSC451 Project 2 Sorting Algorithms Analytics
CMSC451 Project 1 Benchmarking Sorting Algorithms
![[SOLVED] CMSC451 PROJECT 1 BENCHMARKING SORTING ALGORITHMS](https://grademerit.com/wp-content/uploads/edd/2023/12/Screenshot-2023-12-07-at-04.09.17.png)
[SOLVED] CMSC451 PROJECT 1 BENCHMARKING SORTING ALGORITHMS: The first project involves benchmarking the behavior of Java implementations of one of the following sorting algorithms, bubble sort, selection sort, insertion sort,…
![[SOLVED] CMSC451 PROJECT 2 SORTING ALGORITHMS ANALYTICS](https://grademerit.com/wp-content/uploads/edd/2023/12/Screenshot-2023-12-07-at-03.53.19.png)
[SOLVED] CMSC451 PROJECT 2 SORTING ALGORITHMS ANALYTICS: Project 2 involves an analysis of the results that you obtained in first project. You are to submit a paper, written with Microsoft…