The University of Texas at Austin 3 credits Computer Science
Explore the design and analysis of algorithms for continuous spaces, focusing on optimization, numerical linear algebra, sampling, and applications to machine learning. Computer Science 389C and 395T (Topic: Continuous Algorithms) may not both be counted. The equivalent of three lecture hours a week for one semester. Pre/Corequisites: Graduate standing and a strong background in algorithms, real analysis, probability, and linear algebra.
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