The Partition Method for a Power Series Expansion: Theory and Applications - Couverture rigide

Kowalenko, Victor

Couverture rigide

ISBN 10 : 0128044667 ISBN 13 : 9780128044667

Editeur : Academic Press Inc, 2017

Synopsis

The Partition Method for a Power Series Expansion: Theory and Applications explores how the method known as 'the partition method for a power series expansion', which was developed by the author, can be applied to a host of previously intractable problems in mathematics and physics.

In particular, this book describes how the method can be used to determine the Bernoulli, cosecant, and reciprocal logarithm numbers, which appear as the coefficients of the resulting power series expansions, then also extending the method to more complicated situations where the coefficients become polynomials or mathematical functions. From these examples, a general theory for the method is presented, which enables a programming methodology to be established.

Finally, the programming techniques of previous chapters are used to derive power series expansions for complex generating functions arising in the theory of partitions and in lattice models of statistical mechanics.

A propos du livre

À propos de l'auteur

Dr Victor Kowalenko is a Senior Research Fellow in the Department of Mathematics and Statistics, University of Melbourne, Australia. Since 2009, he has been associated with the ARC Centre of Excellence in Mathematics and Statistics of Complex Systems. He began his research career by joining the DSTO's railgun project in Maribyrnong in the early 1980's before transferring to the DSTO facility at Fishermen's Bend to work on aeronautical systems. He then returned to the Department of Physics, University of Melbourne as one of the inaugural Australian Research Fellows to work on particle-anti-particle plasmas and general relativistic magnetohydrodynamics. It was here that he introduced the partition method for a power expansion. Between 2001 and 2003, when he was a Senior Research Fellow in the School of Computer Science and Software Engineering, Monash University, he was able to develop the method further and to extend it to intractable problems in mathematics and physics.

Détails de l'édition

• Éditeur: Academic Press Inc
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 0128044667
• ISBN 13: 9780128044667
• Reliure: Relié
• Nombre de pages: 322
• Coordonnées du fabricant: non disponible
• Personne responsable: Yeepin GmbH; 492000000000; sunshine12232@outlook.com; ; Alleestr.11; Kaiserslautern; Rheinland-Pfalz; 67655; Allemagne