This book will give readers the possibility of finding very important mathematical tools for working with fractional models and solving fractional differential equations, such as a generalization of Stirling numbers in the framework of fractional calculus and a set of efficient numerical methods. Moreover, we will introduce some applied topics, in particular fractional variational methods which are used in physics, engineering or economics. We will also discuss the relationship between semi-Markov continuous-time random walks and the space-time fractional diffusion equation, which generalizes the usual theory relating random walks to the diffusion equation. These methods can be applied in finance, to model tick-by-tick (log)-price fluctuations, in insurance theory, to study ruin, as well as in macroeconomics as prototypical growth models.All these topics are complementary to what is dealt with in existing books on fractional calculus and its applications. This book will keep in mind the trade-off between full mathematical rigor and the needs of readers coming from different applied areas of science and engineering. In particular, the numerical methods listed in the book are presented in a readily accessible way that immediately allows the readers to implement them on a computer in a programming language of their choice.The second edition of the book has been expanded and now includes a discussion of additional, newly developed numerical methods for fractional calculus and a chapter on the application of fractional calculus for modeling processes in the life sciences.
Juan J Trujillo & Enrico Scalas
FRACTIONAL CALCULUS (2ND ED) [EPUB ebook]
Models and Numerical Methods
FRACTIONAL CALCULUS (2ND ED) [EPUB ebook]
Models and Numerical Methods
Beli ebook ini dan dapatkan 1 lagi PERCUMA!
Bahasa Inggeris ● Format EPUB ● Halaman-halaman 476 ● ISBN 9789813140059 ● Saiz fail 30.6 MB ● Penerbit World Scientific Publishing Company ● Bandar raya Singapore ● Negara SG ● Diterbitkan 2016 ● Edisi 2 ● Muat turun 24 bulan ● Mata wang EUR ● ID 5522814 ● Salin perlindungan Adobe DRM
Memerlukan pembaca ebook yang mampu DRM