Coupled Systems Theory, Models, and Applications in Engineering Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Auteur : Geiser Juergen
Efficient Methods to Solve Complex Coupled Systems
Coupled Systems: Theory, Models, and Applications in Engineering explains how to solve complicated coupled models in engineering using analytical and numerical methods. It presents splitting multiscale methods to solve multiscale and multiphysics problems and describes analytical and numerical methods in time and space for evolution equations arising in engineering problems.
The book discusses the effectiveness, simplicity, stability, and consistency of the methods in solving problems that occur in real-life engineering tasks. It shows how MATLAB® and Simulink® are used to implement the methods. The author also covers the coupling of separate, multiple, and logical scales in applications, including microscale, macroscale, multiscale, and multiphysics problems.
Covering mathematical, algorithmic, and practical aspects, this book brings together innovative ideas in coupled systems and extends standard engineering tools to coupled models in materials and flow problems with respect to their scale dependencies and their influence on each time and spatial scale.
Introduction. General Principle for Coupled Systems. Numerical Methods. Applications. Summary and Perspectives. Software Tools. Appendix. Bibliography. Index.
Date de parution : 02-2014
15.6x23.4 cm
Date de parution : 09-2019
15.6x23.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 74,82 €
Ajouter au panierThèmes de Coupled Systems :
Mots-clés :
Iterative Splitting; Iterative Splitting Method; Ordinary Differential Equations; Convection Diffusion Reaction Equation; CFL Condition; Stochastic Ordinary Differential Equations; Coupling Error; Multiscale Expansion; Milstein Method; Single Scales Approach; Numerical Efficient Solvers; Multiscale Methods; Multigrid Method; Stochastic Differential Equations; Ode System; Fine Spatial Grids; Multiscale Modeling; MATLAB Code; ANSYS Multiphysics; Coupled Systems; Langevin Equations; Multiscale Problems