This book, a result of the authors' teaching and research experience in
various universities and institutes over the past ten years, can be used
as a textbook for an optimization course for graduates and senior
undergraduates. It systematically describes optimization theory and
several powerful methods, including recent results. For most methods,
the authors discuss an idea's motivation, study the derivation,
establish the global and local convergence, describe algorithmic steps,
and discuss the numerical performance. The book deals with both theory
and algorithms of optimization concurrently. It also contains an
extensive bibliography. Finally, apart from its use for teaching,
Optimization Theory and Methods will be very useful as a research
reference.