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Leçon n.1:
Introductions and Definitions
Go to the lesson's materials
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Resources on Algorithms and data structures
(A.Y. nessuno)
Leçon n.2:
Complexity Analysis
Leçon n.3:
Analysis of recursive programs: recurrences I
Leçon n.4:
Analysis of recursive programs: recurrences II
Leçon n.5:
Sorting
Leçon n.6:
Heapsort and Quicksort
Leçon n.7:
Sorting - linear time algorithms
Leçon n.8:
Dynamic sets and dictionaries
Leçon n.9:
Binary Search Trees
Leçon n.10:
Hash Tables I
Leçon n.11:
Hash Tables II
Leçon n.12:
Algorithmic paradigms: Dynamic programming I
Leçon n.13:
Dynamic programming II
Leçon n.14:
The greedy paradigm
Leçon n.15:
Search-based paradigms: backtracking
Leçon n.16:
Graphs I
Leçon n.17:
Graphs II
Leçon n.18:
Graphs visits
Leçon n.19:
Application of Depth-First-Search
Leçon n.20:
Minimum Spanning Trees I
Leçon n.21:
Minimum Spanning Trees II
Leçon n.22:
Shortest paths I
Leçon n.23:
Shortest paths II
Leçon n.24:
All-pairs shortest paths
Leçon n.25:
Intractable problems and NP completeness