Algorithms with provable guarantees on the quality of their solutions are a powerful way of dealing with intractable problems. This course covers fundamental techniques for designing approximation algorithms. Possible topics include: semi-definite and linear programming, inapproximability and the PCP theorem, randomized rounding, metrics and cuts, primal-dual methods, and online algorithms.
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2022 | ||||
2021 |
Approximation Algorithms (4c)
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2019 | ||||
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2017 |
Approximation Algorithms (4c)
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2015 | ||||
2014 | ||||
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2011 | ||||
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2007 |