CPSC 406

Computational Optimization

Course Description

Formulation and analysis of algorithms for continuous and discrete optimization problems; linear, nonlinear, network, dynamic, and integer optimization; large-scale problems; software packages and their implementation; duality theory and sensitivity.

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Great course with Prof. Friedlander. Although you should only take it if you are into Numerical Computation stuff.
/u/vaastav05, May 23 2019

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