Description: We hope that this book will be useful as the primary or alternate textbook for
several types of courses. Since 1995 we have been using drafts of this book for
graduate courses on linear, nonlinear, and convex optimization (with engineering
applications) at Stanford and UCLA. We are able to cover most of the material,
though not in detail, in a one quarter graduate course. Aone semester course allows
for a more leisurely pace, more applications, more detailed treatment of theory,
and perhaps a short student project. A two quarter sequence allows an expanded
treatment ofthe more basic topics such as linear andquadratic programming(which
are very useful for the applications oriented student), or a more substantial student
project.
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