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Springer Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena

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Description

Model reduction and coarse-graining are fundamental techniques across science and engineering, addressing how complex systems with many degrees of freedom can be simplified into manageable models with fewer variables. This comprehensive book tackles essential questions about bridging reversible micro-level descriptions with dissipative macroscopic models, exploring the theoretical foundations and practical applications of these reduction approaches. Contributions from leading experts spanning physics, mathematics, chemistry, and engineering fields provide diverse perspectives on multiscale phenomena. The work examines fundamental principles, methodologies, and real-world implementations of model reduction techniques, offering readers both theoretical grounding and practical insights into coarse-graining methods used across materials science, fluid dynamics, molecular dynamics, and other computational disciplines.

Key Features

Springer-published reference covering model reduction and coarse-graining techniques across multiple scientific and engineering disciplines.

Expert contributions span diverse fields including physics, mathematics, chemistry, and engineering, providing comprehensive multiscale perspectives.

Addresses fundamental questions about connecting reversible microscopic descriptions to dissipative macroscopic models through rigorous approaches.

Practical applications and methodologies for simplifying complex systems with many degrees of freedom into computationally tractable models.

Comprehensive treatment of coarse-graining principles applicable to materials science, molecular dynamics, fluid dynamics, and computational studies.

Essential reference for researchers and engineers working with multiscale phenomena in theoretical and applied contexts.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2010
Listed Since
20 September 2010

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