Spring 2020 - CMPT 405 D100
Design and Analysis of Computing Algorithms (3)
Class Number: 6749
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby
Exam Times + Location:
Apr 20, 2020
8:30 AM – 11:30 AM
TAKE HOME-EXAM, Burnaby
1 778 782-6705
Models of computation, methods of algorithm design; complexity of algorithms; algorithms on graphs, NP-completeness, approximation algorithms, selected topics.
This is an advanced course on algorithms. We will review basic paradigms of algorithm design (greedy, divide-and-conquer, dynamic programming, linear programming, etc.), and then explore some of the more advanced topics (e.g., randomized algorithms, approximation algorithms, streaming algorithms, etc.)
- Greedy Algorithms
- Divide and Conquer
- Dynamic Programming
- Network Flow
- NP and Computational Intractability
- Approximation Algorithms
- Randomized Algorithms
- Linear Programming
- Algorithms for special cases of NP-hard problems
To be announced during the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
MATERIALS + SUPPLIES:
- Introduction to Algorithms, 3rd Edition, T. Cormen, C. Leiserson, R. Rivest, C. Stein, McGraw Hill, 2003, 9780262033848
- Computers and Intractability: A Guide To The Theory Of NP-Completeness, M. R. Garey, D. S. Johnson, W. H. Freeman, 1979, 9780716710455
- Algorithm Design
- J. Kleinberg, E. Tardos
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