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Springer - Introduction to Global Optimization Book

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Description

Explore the complex world of nonlinear functions with Introduction to Global Optimization by Springer. While many existing texts focus on finding local optima, this comprehensive resource addresses the computation and characterization of global optima. This is a vital distinction for professionals and students dealing with mathematical modeling in real-world systems. Over the last 30 years, significant theoretical, algorithmic, and computational advancements have emerged to help solve globally multiextreme problems. This book covers those developments, providing a deep look into nonconvex optimization and its various applications. It serves as a specialized guide for those needing to move beyond local solutions to find true global optima in practical, high-stakes environments.

Key Features

Focuses on the computation and characterization of global optima for nonlinear functions.

Addresses nonconvex optimization and its wide range of practical applications.

Covers theoretical, algorithmic, and computational contributions from the last 30 years.

Provides a comprehensive alternative to books that only focus on local optimal solutions.

Designed for mathematical modeling of real systems and complex multiextreme problems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 June 1995
Listed Since
15 February 2007

Barcode

No barcode data available

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