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MATH 564 - Convex and Nonlinear Optimization

Description
Convex sets and functions; operations preserving convexity; linear, quadratic, and conic optimization; duality theory; unconstrained smooth optimization; interior point methods. Required preparation must include advanced multivariate calculus, and a programming language. Recommended preparation: Knowledge in linear optimization and numerical linear algebra. Class Notes: Online delivery with at least one opportunity each week for students to interact synchronously with the instructor at the original time identified above. The Instructor will define the synchronous interaction.
Credits
3
Attributes
Cooperative: Open to UI degree-seeking students. Virtual class. Check course site for requirements. VC Originating in Pullman
Recent Professors
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Recent Semesters
Fall 2021, Fall 2017
Offered
MWF
Avg. Class Size
2
Avg. Sections
1