Introduction to Optimization: Second Edition

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.