Optimization is a field important in its own right but is also integral
to numerous applied sciences, including operations research, management
science, economics, finance and all branches of mathematics-oriented
engineering. Constrained optimization models are one of the most widely
used mathematical models in operations research and management science.
This book gives a modern and well-balanced presentation of the subject,
focusing on theory but also including algorithims and examples from
various real-world applications. The text is easy to read and accessible
to anyone with a knowledge of multi-dimensional calculus, linear algebra
and basic numerical methods. Detailed examples and counter-examples are
provided--as are exercises, solutions and helpful hints, and
Matlab/Maple supplements.
The intended readership is advanced undergraduates, graduates, and
professionals in any of the applied fields.