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This volume provides a comprehensive introduction to the theory of
(deterministic) optimization. It covers both continuous and
discrete optimization. This allows readers to study problems under
different points-of-view, which supports a better understanding of
the entire field. Many exercises are included to increase the
reader's understanding.
Optimization Theory is becoming a more and more important
mathematical as well as interdisciplinary area, especially in the
interplay between mathematics and many other sciences like computer
science, physics, engineering, operations research, etc.
This volume gives a comprehensive introduction into the theory of
(deterministic) optimization on an advanced undergraduate and
graduate level. One main feature is the treatment of both
continuous and discrete optimization at the same place. This allows
to study the problems under different points of view, supporting a
better understanding of the entire field.
Audience: The book can be adapted well as an introductory textbook
into optimization theory on a basis of a two semester course;
however, each of its parts can also be taught separately. Many
exercises are included to increase the reader's understanding.
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