Metric Embeddings and Algorithmic Applications (CS369), Winte...
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- math
- , graph
- , algorithms
- , course
- , matrix
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Sample topics: low-distortion embeddings of finite metrics into L_1, L_p,
and distributions of trees; dimensionality reduction;
volume-respecting embeddings; applications to graph partitioning,
online algorithms, network design, and nearest neighbor search.
Prerequisites: CS261 or comparable mathematical maturity.
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