Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena

Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other rel...

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Bibliographic Details
Other Authors: Gorban, Alexander N. (Editor), Kazantzis, Nikolas (Editor), Kevrekidis, I. G. (Editor), Öttinger, Hans Christian (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • An Efficient Optimization Approach for Computationally Expensive Timesteppers Using Tabulation
  • A Reduced Input/Output Dynamic Optimisation Method for Macroscopic and Microscopic Systems
  • Relations Between Information Theory, Robustness and Statistical Mechanics of Stochastic Uncertain Systems via Large Deviation Theory
  • Kinetics and Model Reduction
  • Exactly Reduced Chemical Master Equations
  • Model Reduction in Kinetic Theory
  • Novel Trajectory Based Concepts for Model and Complexity Reduction in (Bio)Chemical Kinetics
  • Dynamics of the Plasma Sheath
  • Mesoscale and Multiscale Modeling
  • Construction of Stochastic PDEs and Predictive Control of Surface Roughness in Thin Film Deposition
  • Lattice Boltzmann Method and Kinetic Theory
  • Numerical and Analytical Spatial Coupling of a Lattice Boltzmann Model and a Partial Differential Equation
  • Modelling and Control Considerations for Particle Populations in Particulate Processes Within a Multi-Scale Framework
  • Diagnostic Goal-Driven Reduction of Multiscale Process Models
  • Understanding Macroscopic Heat/Mass Transfer Using Meso-and Macro-Scale Simulations
  • Computation of Invariant Manifolds
  • A New Model Reduction Method for Nonlinear Dynamical Systems Using Singular PDE Theory
  • A Versatile Algorithm for Computing Invariant Manifolds
  • Covering an Invariant Manifold with Fat Trajectories
  • “Ghost” ILDM-Manifolds and Their Identification
  • Dynamic Decomposition of ODE Systems: Application to Modelling of Diesel Fuel Sprays
  • Model Reduction of Multiple Time Scale Processes in Non-standard Singularly Perturbed Form
  • Coarse-Graining and Ideas of Statistical Physics
  • Basic Types of Coarse-Graining
  • Renormalization Group Methods for Coarse-Graining of Evolution Equations
  • A Stochastic Process Behind Boltzmann’s Kinetic Equation and Issues of Coarse Graining
  • Finite Difference Patch Dynamics for Advection Homogenization Problems
  • Coarse-Graining the Cyclic Lotka-Volterra Model: SSA and Local Maximum Likelihood Estimation