Data structures and algorithms, and the mathematical techniques necessary to design and analyze them. Basic data structures: lists, associative structures, trees. Mathematical techniques for designing algorithms and analyzing worst-case and expected-case algorithm efficiency. Advanced data structures: balanced trees, tries, heaps, priority queues, graphs. Searching, sorting. Algorithm design techniques: dynamic programming, greedy algorithms, divide-and-conquer, backtracking. Example graph, string, geometric, and numeric algorithms.
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Introduction To Algorithms (4c)
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2000 |
Data Struct & Algorithms (4c)
Data Structures & Algs
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Data Str & Algorithms (4c)
Data Struct & Algorithms
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1999 |
Data Struct & Algorithms (4c)
Data Structures & Algs
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1998 |