Vorticity, Statistical Mechanics, and Monte Carlo Simulation

Chjan Lim (u. a.)

ISBN 10: 1441922474 / ISBN 13: 9781441922472

Editore: Humana, 2010

Riguardo questo articolo

Vorticity, Statistical Mechanics, and Monte Carlo Simulation | Chjan Lim (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Humana | EAN 9781441922472 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Codice articolo 107253122

Dati bibliografici

• Titolo: Vorticity, Statistical Mechanics, and Monte Carlo Simulation
• Editore: Humana
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441922474
• ISBN 13: 9781441922472
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 229 L x 152 A x 17 P (millimetri) 229 millimetri di larghezza per 152 millimetri di altezza per 17 millimetri di profondità
• Peso: 443 grammi
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

This book is drawn from across many active fields of mathematics and physics. The book is a unique addition to the literature and offers fresh insights into an important field. It has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov Chains, and Monte Carlo methods. It addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and several related fields. The reader will learn how to research a topic and how to understand statistical mechanics treatments of fluid dynamics.

Of particular interest should be the application of Monte Carlo methods to problems like dispersal of points on the sphere, the phase transitions of viscid fluid flows in models that increasingly approach the conditions of actual planetary atmospheres, and the treatment of negative absolute temperatures and the effects these extremely high-energy states have on fluid flows.

Dalla quarta di copertina

This book is drawn from across many active fields of mathematics and physics, and has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov Chains, and Monte Carlo methods. It addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and several related fields. The authors f this book explicitly reach around the major branches of mathematics and physics, showing how the use of a few straightforward approaches can create a cornucopia of intriguing questions and the tools to answer them. In reading this book, the reader will learn how to research a topic and how to understand statistical mechanics treatments of fluid dynamics. Of particular interest should be the application of Monte Carlo methods to problems like dispersal of points on the sphere, the phase transitions of in viscid fluid flows in models that increasingly approach the conditions of actual planetary atmospheres, and the treatment of negative absolute temperatures and the effects these extremely high-energy states have on fluid flows. Special attention is given to spherical models as well.

This book is intended for the upper-level undergraduate or the beginning graduate level courses of mathematics and physics. It will also be of interest to readers interested in statistical mechanics methods applied to fluid mechanics problems. Readers will gain an understanding of how to synthesize new mathematics by applying familiar tools in new ways, and develop new tools to fit particular applications.