Advances in Fractional Modeling and Computation
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Numerical and Computational Methods".
Deadline for manuscript submissions: 22 December 2024 | Viewed by 18899
Special Issue Editors
Interests: fractional calculus; numerical methods for fractional differential equations; Monte-Carlo methods
Interests: applied mathematics; mathematical modeling; fractional calculus; numerical methods; stochastic and Monte Carlo methods
2. Department of Applied Mathematics and Statistics, University of Ruse, 7017 Ruse, Bulgaria
Interests: mathematical modeling; fractional calculus; scientific computing; financial mathematics
Interests: mathematical modeling; fractional calculus; non-linear diffusion; viscoelasticity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fractional calculus is a branch of mathematics that deals with the study of fractional order derivatives. Today, fractional calculus has many applications in various fields, including physics, engineering, finance, and biology. It can be used to model complex systems that exhibit non-local or long-range interactions, as well as to solve differential equations involving fractional derivatives. Many models of complex systems which use ordinary and partial differential equations do not have analytic solutions. There is an urgent need to develop effective computational methods for solution and analysis of fractional models.
The focus of the Special Issue is the development and advancement of models using fractional differential equations and processes. We welcome original and review papers on theory, computational and Monte Carlo methods, and practical applications of fractional models in physics, chemistry, biology, engineering, economics, probability, and statistics. Topics that are invited for submission include (but are not limited to):
- Fractional models in natural sciences
- Fractional models in economics and engineering
- Numerical algorithms and discretization
- Fractional differential systems with control theory
- Fractional dynamical systems
- Analysis of fractional models
- Stochastic methods for fractional models
- Monte Carlo methods
- Markov chains and processes
- Stochastic modeling and simulation
- Related fractional models
Dr. Yuri Dimitrov
Dr. Venelin Todorov
Dr. Slavi Georgiev
Prof. Dr. Jordan Hristov
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- fractional models in natural sciences
- fractional models in economics and engineering
- numerical algorithms and discretization
- fractional differential systems with control theory
- fractional dynamical systems
- analysis of fractional models
- stochastic methods for fractional models
- Monte Carlo methods
- Markov chains and processes
- stochastic modeling and simulation
- related fractional models
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