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Springer Convexification and Global Optimization Book

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Description

Explore advanced mathematical modeling with Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming. Published by Springer as part of the Nonconvex Optimization and Its Applications series, this volume addresses the limitations of linear programming models. While linear models are widely used in operations research and management science, they often fail to capture the complexity of real-world phenomena. This text provides the theory, algorithms, software, and applications necessary to handle nonlinear problems in fields such as economics, finance, business, communication, and engineering design. It serves as a technical resource for those moving beyond restrictive linear assumptions to solve complex, nonconvex optimization challenges.

Key Features

Published by Springer as part of the Nonconvex Optimization and Its Applications series, volume 65.

Covers theory, algorithms, software, and applications for nonlinear programming.

Addresses continuous and mixed-integer nonlinear programming challenges.

Provides solutions for modeling real-world phenomena in economics, finance, and business.

Supports advanced research in engineering design and communication modeling.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 October 2002
Listed Since
22 December 2006

Barcode

No barcode data available

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