Algorithms' Analysis


Complexity of algorithms: O notation, analysis of time and space consumption in memory. Problem complexity: polynomial reduction, classes of decision problems (P, NP, NP-difficult, etc.). Algorithmic techniques: greedy algorithms, division and conquest dynamic programming. Problem analysis: search and ordering, graph problems, computational geometry problems.



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•    Dasgupta, S., Papadimitriou, C. H., & Vazirani, U. V. (2008). Algorithms. McGraw-Hill.
•    Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms (3rd ed.). MIT press Cambridge.


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•    Skiena, S. S. (2008). The Algorithm Design Manual. Springer.
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