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COMP 554 Approximation Algorithms (4 credits)

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Note: This is the 2017–2018 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Computer Science (Faculty of Science)

Overview

Computer Science (Sci) : The theory and application of approximation algorithms. Topics include: randomized algorithms, network optimization, linear programming and semi definite programming techniques, the game theoretic method, the primal-dual method, and metric embeddings.

Terms: This course is not scheduled for the 2017-2018 academic year.

Instructors: There are no professors associated with this course for the 2017-2018 academic year.

  • Prerequisites: COMP 362 or MATH 350 or permission of instructor. Strong background in algorithms and/or mathematics.

  • Restriction: Not open to students who have taken COMP 692

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