Original PDF Ebook – Linear and Convex Optimization1st EditionA Mathematical Approach – 9781119664048
Discover the practical impacts of current methods of optimization with this approachable, one-stop resource_x000D_Linear and Convex Optimization: A Mathematical Approach delivers a concise and unified treatment of optimization with a focus on developing insights in problem structure, modeling, and algorithms. Convex optimization problems are covered in detail because of their many applications and the fast algorithms that have been developed to solve them. _x000D_
Experienced researcher and undergraduate teacher Mike Veatch presents the main algorithms used in linear, integer, and convex optimization in a mathematical style with an emphasis on what makes a class of problems practically solvable and developing insight into algorithms geometrically. Principles of algorithm design and the speed of algorithms are discussed in detail, requiring no background in algorithms._x000D_
The book offers a breadth of recent applications to demonstrate the many areas in which optimization is successfully and frequently used, while the process of formulating optimization problems is addressed throughout. _x000D_
Linear and Convex Optimization contains a wide variety of features, including:_x000D_
Coverage of current methods in optimization in a style and level that remains appealing and accessible for mathematically trained undergraduates_x000D_
Enhanced insights into a few algorithms, instead of presenting many algorithms in cursory fashion_x000D_
An emphasis on the formulation of large, data-driven optimization problems_x000D_
Inclusion of linear, integer, and convex optimization, covering many practically solvable problems using algorithms that share many of the same concepts_x000D_
Presentation of a broad range of applications to fields like online marketing, disaster response, humanitarian development, public sector planning, health delivery, manufacturing, and supply chain management_x000D_
Ideal for upper level undergraduate mathematics majors with an interest in practical applications of mathematics, this book will also appeal to business, economics, computer science, and operations research majors with at least two years of mathematics training.
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