Singular Phenomena and Scaling in Mathematical Models
Editat de Michael Griebelen Limba Engleză Hardback – 26 noi 2013
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Specificații
ISBN-13: 9783319007854
ISBN-10: 3319007858
Pagini: 444
Ilustrații: VIII, 434 p. 86 illus., 58 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.79 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319007858
Pagini: 444
Ilustrații: VIII, 434 p. 86 illus., 58 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.79 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Preface.- Area A – Scaling Limits of Diffusion Processes and Singular Spaces.- Area B – Multiple Scales in Mathematical Models of Materials Science and Biology.- Area C – Numerics for Multiscale Models and Singular Phenomena.
Notă biografică
Michael Griebel is Editor-in-Chief of the journal Numerische Mathematik, and is in the LNCSE Editorial Board. He is also co-editor with Marc Alexander Schweitzer of several LNCSE volumes on Meshfree Methods for Partial Differential Equations, which have been published regularly every two year.
Textul de pe ultima copertă
The book integrates theoretical analysis, numerical simulation and modeling approaches for the treatment of singular phenomena. The projects covered focus on actual applied problems, and develop qualitatively new and mathematically challenging methods for various problems from the natural sciences. Ranging from stochastic and geometric analysis over nonlinear analysis and modelling to numerical analysis and scientific computation, the book is divided into the three sections: A) Scaling limits of diffusion processes and singular spaces, B) Multiple scales in mathematical models of materials science and biology and C) Numerics for multiscale models and singular phenomena. Each section addresses the key aspects of multiple scales and model hierarchies, singularities and degeneracies, and scaling laws and self-similarity.
Caracteristici
Includes supplementary material: sn.pub/extras