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Springer Introduction to Global Optimization - Nonconvex Methods

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Description

Introduction to Global Optimization is a comprehensive guide to computing and characterising global optima of nonlinear functions in complex mathematical systems. This book from Springer addresses the widespread challenge of solving multiextreme problems across diverse practical applications in science, engineering and business. Unlike conventional optimisation texts that focus solely on local solutions, this volume provides essential theoretical foundations, modern algorithmic approaches and computational strategies developed over three decades of research. It equips professionals and researchers with the tools to identify true global optima rather than settling for suboptimal local solutions, making it invaluable for tackling real-world problems in mathematical modelling, decision making and systems analysis where finding the absolute best solution is critical to success.

Key Features

Springer publication offering comprehensive coverage of global optimisation methods and nonconvex optimisation theory.

Focuses on computing global optima for nonlinear functions across multiple real-world applications and industries.

Includes modern algorithmic and computational techniques developed through 30 years of research and practical advancement.

Provides theoretical frameworks and practical strategies for solving multiextreme problems in complex systems.

Ideal for professionals in management, decision making and mathematical modelling seeking definitive optimisation solutions.

Product Specifications

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

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No barcode data available

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