This is a practical introduction to optimization, covering the main optimization techniques currently in use--e.g., mathematical programming, network, and classical methods--at an advanced undergraduate level. Using arguments which are intuitive rather than highly technical, the author focuses on familiar real-life problems, proceeding by induction to the underlying theory. New formulations and models in integer programming are covered, and algorithms are simply explained with illustrative numerical examples. [It] includes numerous exercises suitable for mathematics, engineering, and business courses; the straightforward style of the text makes it useful for researchers in transport planning as well as operations research and planning personnel.
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