New Directions in Statistical Physics. Econophysics, Bioinformatics, and Pattern Recognition. Edited by Luc T. Wille.

Wille, Luc T.

ISBN 10: 3540431829 / ISBN 13: 9783540431824

Editore: Berlin, Heidelberg, Springer Berlin Heidelberg : Imprint: Springer., 2004

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1st ed. 2004. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Physics and astronomy online library. Sprache: Englisch. Codice articolo 45363HB

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Titolo: New Directions in Statistical Physics. ...

Casa editrice: Berlin, Heidelberg, Springer Berlin Heidelberg : Imprint: Springer.

Data di pubblicazione: 2004

Legatura: Rilegato

Edizione: prima edizione

Descrizione articolo

Riassunto:

This book provides a unique insight into the latest breakthroughs in a consistent manner, at a level accessible to undergraduates, yet with enough attention to the theory and computation to satisfy the professional researcher Statistical physics addresses the study and understanding of systems with many degrees of freedom. As such it has a rich and varied history, with applications to thermodynamics, magnetic phase transitions, and order/disorder transformations, to name just a few. However, the tools of statistical physics can be profitably used to investigate any system with a large number of components. Thus, recent years have seen these methods applied in many unexpected directions, three of which are the main focus of this volume. These applications have been remarkably successful and have enriched the financial, biological, and engineering literature. Although reported in the physics literature, the results tend to be scattered and the underlying unity of the field overlooked.

Dalla quarta di copertina:

Statistical physics addresses the study and understanding of systems with many degrees of freedom. As such it has a rich and varied history, with applications to thermodynamics, magnetic phase transitions, and order/disorder transformations, to name just a few. However, the tools of statistical physics can be profitably used to investigate any system with a large number of components. Thus, recent years have seen these methods applied in many unexpected directions, three of which are the main focus of this volume. These applications have been remarkably successful and have enriched the financial, biological, and engineering literature. Although reported in the physics literature, the results tend to be scattered and the underlying unity of the field overlooked. This book provides a unique insight into the latest breakthroughs in a consistent manner, at a level accessible to undergraduates, yet with enough attention to the theory and computation to satisfy the professional researcher.