Introduction to Optimization
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Description
Advanced undergraduate text in linear, convex, and non-linear optimization. Includes chapters on linear algebra, convex sets and functions, and multivariate analysis that support the major theorems and techniques. Simplex algorithm, Kuhn-Tucker Conditions. Many application problems and corridors to general application types.
