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    Oakland University
   
 
  Oct 23, 2017
 
 
    
2015-2017 Graduate Catalog [ARCHIVED CATALOG]

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APM 567 - Algorithms and Complexity

(4 credits)

A general introduction to algorithm design and analysis, including study of the following algorithmic techniques: divide-andconquer, greedy methods, backtracking, preconditioning and precomputation, probabilistic and approximation algorithms. Topics covered also include: the fast Fourier transform, lower bound theory, reduction and NP-completeness.

Prerequisite(s): Required background: a course in discrete mathematics and knowledge of data structures.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.



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