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Review for Final Neil Tang 04/27/2010. Course Survey. Please complete the course survey at: http://www.cs.montana.edu/survey/. Time Complexity Analysis. Asymptotic notations (O, , ): definition, properties Important functions: polynomial, logN, 2 N 4 Rules - PowerPoint PPT Presentation
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CS223 Advanced Data Structures and Algorithms 1
Review for Final Review for Final
Neil TangNeil Tang04/27/201004/27/2010
CS223 Advanced Data Structures and Algorithms 2
Course SurveyCourse Survey
Please complete the course survey at:
http://www.cs.montana.edu/survey/
CS223 Advanced Data Structures and Algorithms 3
Time Complexity AnalysisTime Complexity Analysis
Asymptotic notations (O, , ): definition, properties
Important functions: polynomial, logN, 2N
4 Rules
Recursion and the master method
CS223 Advanced Data Structures and Algorithms 4
GraphsGraphs
Basic concepts
Adjacency matrix and list
Topological sort
BFS, DFS and their applications (strong connected components)
Shortest path: Dijkstra’s algorithm, the Bellman-Ford algorithm, implementation.
CS223 Advanced Data Structures and Algorithms 5
GraphsGraphs
Minimum spanning tree: Prim’s algorithm, Kruskal’s algorithm, implementation.
Maximum flow: The Ford-Furkerson algorithm, implementation.
Time complexities
CS223 Advanced Data Structures and Algorithms 6
Algorithm Design TechniquesAlgorithm Design Techniques
Dynamic programming: Recursive equation evaluation, all-pairs shortest path, ordering matrix multiplications.
Divide and conquer: Quick/merge sort, integer/matrix multiplication.
Greedy algorithm: Examples, bin packing algorithms.
Time complexity analysis