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The Basics of Practical Optimization (Paperback, 2nd Revised edition)
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The Basics of Practical Optimization (Paperback, 2nd Revised edition)
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Optimization is presented in most multivariable calculus courses as
an application of the gradient, and while this treatment makes
sense for a calculus course, there is much more to the theory of
optimization. Optimization problems are generated constantly, and
the theory of optimization has grown and developed in response to
the challenges presented by these problems. This textbook aims to
show readers how optimization is done in practice and help them to
develop an appreciation for the richness of the theory behind the
practice. Exercises, problems (including modeling and computational
problems), and implementations are incorporated throughout the text
to help students learn by doing. Python notes are inserted
strategically to help readers complete computational problems and
implementations. The Basics of Practical Optimization, Second
Edition is intended for undergraduates who have completed
multivariable calculus, as well as anyone interested in
optimization. The book is appropriate for a course that complements
or replaces a standard linear programming course.
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