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Springer Mathematical Theory of Optimization: 56 - Book

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Description

Explore the fundamental principles of optimization with this academic text from Springer. As a central element in all sciences, optimization helps explain how nature functions, from the path of light to the folded state of proteins. This volume, part of the Nonconvex Optimization and Its Applications series, addresses the complexities found in real-world mathematical challenges. This book covers essential topics including combinatorial optimization and the management of computationally hard problems. It provides insights into practical applications such as floorplanning in VLSI designs and Steiner trees in communication networks. Because exact optimal solutions for these problems are often not real-time computable, the text discusses the methods used to compute approximate solutions effectively. Whether you are studying the mathematical structures of nature or tackling complex engineering problems, this text offers a deep look into how approximate solutions are reached when exact ones are out of reach. It is a valuable resource for those studying computing, internet technologies, and advanced mathematical theory.

Key Features

Covers nonconvex optimization and its various real-world applications.

Explains how nature seeks optimal solutions in physical and biological systems.

Addresses computationally hard problems found in combinatorial optimization.

Provides context for VLSI design floorplanning and communication network Steiner trees.

Discusses methods for computing approximate solutions when exact ones are not computable.

Used book provided in good condition for academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 October 2001
Listed Since
15 December 2006

Barcode

No barcode data available

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