Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
E-Books | Biblioteca da FCTUNL Online | Não Ficção | QC311.5.SPR FCT 81087 (Browse shelf) | 1 | Available |
Browsing Biblioteca da FCTUNL Shelves , Shelving location: Online , Collection code: Não Ficção Close shelf browser
QC311.SPR FCT 102499 Statistical mechanics of classical and disordered systems | QC311.SPR FCT 80924 Thermomechanics of viscoplasticity | QC311.SPR FCT 96139 Thermodynamics of materials with memory | QC311.5.SPR FCT 81087 Generalised thermostatistics | QC319.9.SPR FCT 94555 Interfacial convection in multilayer systems | QC381.SPR FCT 80999 Geometric optics | QC415.SPR FCT 103691 Stationary diffraction by wedges |
Colocação: Online
The domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area. The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions. Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts. Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required.
There are no comments for this item.