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Springer Optimal Control of Nonlinear Processes - Springer Economics

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Description

Master dynamic optimization theory with this comprehensive Springer volume designed for researchers and students tackling real-world challenges. Learn to apply modern optimal control frameworks to complex nonlinear problems across diverse fields, from aerospace engineering to innovative social applications including drug control, corruption management, and counterterrorism strategy. The book bridges theoretical mathematics with practical implementation, presenting populations, incentives, and interventions as key concepts within dynamic control frameworks. This essential resource combines rigorous mathematical foundations with accessible explanations, making advanced optimization techniques available to professionals seeking solutions beyond traditional applications. Ideal for economists, engineers, and policy analysts who need to solve sophisticated optimization problems in contemporary domains.

Key Features

Springer publication covering dynamic optimization theory and its application to nonlinear processes across multiple disciplines.

Bridges mathematical theory with practical problem-solving for emerging social applications including drug control and counterterrorism.

Designed as an accessible introduction to optimal control mathematics for both researchers and graduate students.

Presents populations, incentives, and interventions as core concepts within the optimal dynamic control framework.

Covers innovative domains beyond traditional space flight applications, extending to economics and policy analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 October 2010
Listed Since
14 June 2010

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