£105.83

Springer Modeling, Dynamics, Optimization and Bioeconomics II

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Description

This academic volume brings together advanced concepts and techniques from the fields of dynamics, statistics, control theory, computer science, and informatics. It applies these methodologies to innovative real-world applications, bridging the gap between theoretical research and practical implementation. As researchers worldwide focus more on dynamic systems, machine learning, and data mining, this book provides a detailed look at how these tools function in modern environments. The content covers both model-free and model-based methods, reflecting the scientific projects currently being developed at leading research centers. Part of the Proceedings in Mathematics & Statistics series, this work captures the findings from the DGS III conference in Porto, Portugal, and the Bioeconomy VII conference in Berkeley, USA. It serves as a specialized resource for those studying the evolution of computing, simulation, and control theory within complex systems.

Key Features

Covers diverse scientific fields including control theory, statistics, and informatics to provide a broad technical foundation.

Explores real-world applications of dynamic systems and machine learning for practical research use.

Includes both model-free and model-based methods to address different scientific project requirements.

Features research presented at international conferences in Porto, Portugal, and Berkeley, USA.

Provides insights into modern computing, data mining, and simulation techniques used in today's research centers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 October 2017
Listed Since
08 February 2017

Barcode

No barcode data available

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