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Convex Optimization & Euclidean Distance Geometry

By Jon Dattorro
eBook (PDF), 712 Pages
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Convex Optimization & Euclidean Distance Geometry
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Convex Analysis is the calculus of inequalities while Convex Optimization is its application. Analysis is inherently the domain of the mathematician while Optimization belongs to the engineer. In layman’s terms, the mathematical science of Optimization is the study of how to make a good choice when confronted with conflicting requirements. The qualifier Convex means: when an optimal solution is found, then it is guaranteed to be a best solution; there is no better choice. As any Convex Optimization problem has geometric interpretation, this book is about Convex Optimization, convex geometry (with particular attention to distance geometry), and nonconvex, combinatorial, and geometrical problems that can be relaxed or transformed into convex problems. A virtual flood of new applications follows by epiphany that many problems, presumed nonconvex, can be so transformed. black & white paperback
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Product Details

Copyright
Version 2013.04.16 (Standard Copyright License)
Edition
Version 2013.04.16
Publisher
Meboo USA
Published
April 21, 2013
Language
English
Pages
712
File Format
PDF
File Size
24 MB

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PDF
Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes
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