FDA Express Vol. 15, No. 1, Apr. 15, 2015
Editors: http://em.hhu.edu.cn/fda/Editors.htm
Institute of Soft Matter Mechanics, Hohai University
For contribution: fdaexpress@163.com,
pangguofei2008@126.com
For subscription:
http://em.hhu.edu.cn/fda/subscription.htm
PDF download:http://em.hhu.edu.cn/fda/Issues/FDA_Express_Vol15_No1_2015.pdf
◆ Latest SCI Journal Papers on FDA
◆ Call for papers
Symposium-Computational fractional dynamic systems and its applications
◆ Books
Advanced Fractional Differential and Integral Equations
◆ Journals
Communications in Nonlinear Science and Numerical Simulation
◆ Paper Highlight
A subordinated advection model for uniform bed load transport from local to regional scales
Space-fractional advection-dispersion equations by the Kansa method
◆ Websites of Interest
Fractional Calculus & Applied Analysis
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Latest SCI Journal Papers on FDA
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CERTAIN NEW GRUSS TYPE INEQUALITIES INVOLVING SAIGO FRACTIONAL q-INTEGRAL
OPERATOR
By: Wang, Guotao; Agarwal, Praveen; Baleanu, Dumitru
JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS Volume: 19 Issue: 5 Pages: 862-873 Published: NOV 2015
By: Al-Smadi, Mohammed; Reihat, Asad; Abu Arqub, Omar; et al.
JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS Volume: 19 Issue: 4 Pages: 713-724 Published: OCT 2015
By: Xu, Youjun; Liu, Xiaoyou
JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS Volume: 19 Issue: 3 Pages: 426-443 Published: SEP 2015
By: Tenreiro Machado, J. A.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 25 Issue: 1-3 Pages: 10-18 Published: AUG 2015
By: Abedini, Mohammad; Nojoumian, Mohammad Ali; Salarieh, Hassan; et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 25 Issue: 1-3 Pages: 27-40 Published: AUG 2015
Chaos in the fractional order nonlinear Bloch equation with delay
By: Baleanu, Dumitru; Magin, Richard L.; Bhalekar, Sachin; et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 25 Issue: 1-3 Pages: 41-49 Published: AUG 2015
By: Aguila-Camacho, Norelys; Duarte-Mermoud, Manuel A.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 25 Issue: 1-3 Pages: 145-148 Published: AUG 2015
Modified spline collocation for linear fractional differential equations
By: Kolk, Marek; Pedas, Arvet; Tamme, Enn
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Volume: 283 Pages: 28-40 Published: AUG 1 2015
By: Maleki, Mohammad; Hashim, Ishak; Abbasbandy, Saeid; et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Volume: 283 Pages: 41-57 Published: AUG 1 2015
STABILITY IN VOLTERRA INTEGRAL EQUATIONS OF FRACTIONAL ORDER WITH CONTROL VARIABLE
By: Nasertayoob, Payam; Vaezpour, S. Mansour; Saadati, Reza; et al.
JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS Volume: 19 Issue: 2 Pages: 346-358 Published: AUG 2015
Synthesis of Fractal Surfaces for Remote-Sensing Applications
By: Riccio, Daniele; Ruello, Giuseppe
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 53 Issue: 7 Pages: 3803-3814 Published: JUL 2015
Anisotropic Phase Unwrapping for Synthetic Aperture Radar Interferometry
By: Danudirdjo, Donny; Hirose, Akira
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 53 Issue: 7 Pages: 4116-4126 Published: JUL 2015
A new method for short-term load forecasting based on fractal interpretation and wavelet analysis
By: Zhai, Ming-Yue
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS Volume: 69 Pages: 241-245 Published: JUL 2015
Volterra-type Lyapunov functions for fractional-order epidemic systems
By: Vargas-De-Leon, Cruz
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 24 Issue: 1-3 Pages: 75-85 Published: JUL 2015
By: Zhong, Fuli; Li, Hui; Zhong, Shouming; et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 24 Issue: 1-3 Pages: 127-144 Published: JUL 2015
By: Plociniczak, Lukasz
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 24 Issue: 1-3 Pages: 169-183 Published: JUL 2015
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Call for Papers
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Symposium-Computational fractional dynamic systems and its applications
----- ------ICCES15, 20-24 July 2015, Reno, Nevada
http://www.icces.org/symposia.html
Dear Colleague,
We are pleased to inform you that the website of ICCES15 (www.icces.org) has been updated with all the currently available information.
We are also very pleased to let you know that our minisymposium proposal" Computational fractional dynamic systems and its applications" for ICCES15 has been approved. Please submit the title and abstract of your talk on the conference homepage http://submission.techscience.com/icces15
and send a copy to us (f.liu@qut.edu.au or shg@hhu.edu.cn).
Please let us know if you have any questions. Thank you very much for your support!
We look forward to seeing you in Reno, Nevada!
Sincerely yours,
Fawang and HongGuang
Important Dates
15 April 2015: Start early registration.
01 May 2015: Deadline for full-length paper submission.
15 May 2015: CUT OFF DATE FOR HOTEL RESERVATIONS.
25 May 2015: Final Deadline for Abstract submission
30 May 2015: Deadline for early registration.
30 June 2015: Technical program announcement.
30 June 205: Deadline for the late registration.
20 July 2015: On-site registration and start of ICCES15.
Description:
In recent years, a growing number of works by many authors from various fields of science and engineering deal with dynamical systems described by fractional partial differential equations (FPDE). Many computational fractional dynamic systems and its applications have been proposed. The aims of this minisymposium are to foster communication among researchers and practitioners who are interested in this field, introduce new researchers to the field, present original ideas, report state-of-the-art and in-progress research results, discuss future trends and challenges, establish fruitful contacts and promote interactions between researchers in computational fractional dynamic systems and other cross-disciplines.
The topics of this symposium include, but are not limited to: numerical methods and numerical analysis, such as finite difference method, finite element method, spectral element method, finite volume method, decomposition method, matrix transform method, meshless method, and so on.
Organizers:
Lead Organizer | |
Name | Professor Fawang Liu |
Affiliation | School of Mathematical Sciences, Queensland University of Technology, GPO Box2434, Brisbane, Qld.4001, Australia |
Phone # | 61-07-31381329 (QUT) or 61-(0)410036297 (mobile) |
f.liu@qut.edu.au |
Co-Organizer | |
Name | Prof. HongGuang Sun |
Affiliation | Department of Engineering Mechanics, College of Mechanics and Materials, Hohai University, Nanjing, China |
Phone # | |
shg@hhu.edu.cn |
We look forward to seeing you at the conference.
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Books
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Advanced Fractional Differential and Integral Equations
Said Abbas, Mouffak Benchohra and Gaston Mandata N'Guerekata (Morgan State University, MD, US)
(Contributed by
Prof. Mouffak Benchohra)
Book Description
Fractional calculus deals with extensions of derivatives and integrals to non-integer orders. It represents a powerful tool in applied mathematics to study a myriad of problems from different fields of science and engineering, with many break-through results found in mathematical physics, finance, hydrology, biophysics, thermodynamics, control theory, statistical mechanics, astrophysics, cosmology and bioengineering. This book is devoted to the existence and uniqueness of solutions and some Ulam's type stability concepts for various classes of functional differential and integral equations of fractional order. Some equations present delay which may be finite, infinite or state-dependent. Others are subject to multiple time delay effect. The tools used include classical fixed point theorems. Other tools are based on the measure of non-compactness together with appropriates fixed point theorems. Each chapter concludes with a section devoted to notes and bibliographical remarks and all the presented results are illustrated by examples.
The content of the book is new and complements the existing literature in Fractional Calculus. It is useful for researchers and graduate students for research, seminars and advanced graduate courses, in pure and applied mathematics, engineering, biology and other applied sciences. (Imprint: Nova)
More information on this book can be found by the following link: https://www.novapublishers.com/catalog/product_info.php?cPath=23_49&products_id=51752&osCsid=72336a5289ad01c0ca3342dd7ea5b5b7
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Vicenç Méndez, Daniel Campos, Frederic Bartumeus
Book Description
This book presents the fundamental theory for
non-standard diffusion problems in movement ecology. Lévy processes and
anomalous diffusion have shown to be both powerful and useful tools for
qualitatively and quantitatively describing a wide variety of spatial population
ecological phenomena and dynamics, such as invasion fronts and search
strategies.
Adopting a self-contained, textbook-style approach, the authors provide the
elements of statistical physics and stochastic processes on which the modeling
of movement ecology is based and systematically introduce the physical
characterization of ecological processes at the microscopic, mesoscopic and
macroscopic levels. The explicit definition of these levels and their
interrelations is particularly suitable to coping with the broad spectrum of
space and time scales involved in bio-ecological problems.
Including numerous exercises (with solutions), this text is aimed at graduate
students and newcomers in this field at the interface of theoretical ecology,
mathematical biology and physics.
More information on this book can be found by the following link: http://www.springer.com/cn/book/9783642390098
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Journals
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http://www.degruyter.com/view/j/fca
New issue published online: Vol. 18, No. 2, 2015
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(selected)
Comments on “The Minkowski's space–time is consistent with differential geometry of fractional order” [Phys. Lett. A 363 (2007) 5–11]
Vasily E. Tarasov
Dimensionality effect on two-electron energy spectrum: A fractional-dimension-based formulation
R. Correa, W. Gutiérrez, I. Mikhailov, M.R. Fulla, J.H.Marin
An efficient method for solving fractional Hodgkin–Huxley model
A.M. Nagy, N.H. Sweilam
Fractional-order formulation of power-law and exponential distributions
A. Alexopoulos, G.V. Weinberg
Coupled fractional nonlinear differential equations and exact Jacobian elliptic solutions for exciton–phonon dynamics
Alain Mvogo, G.H. Ben-Bolie, T.C. Kofané
Discrete chaos in fractional sine and standard maps
Ali Nassar
Complex-valued fractional statistics for D-dimensional harmonic oscillators
Andrij Rovenchak
A mixed SOC-turbulence model for nonlocal transport and Lévy-fractional Fokker–Planck equation
Alexander V. Milovanov, Jens Juul Rasmussen
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Vol. 80, No. 1-2 (selected)
Liping Chen, Ranchao Wu, Yigang He, Yi Chai
Numerical simulation for two-dimensional variable-order fractional nonlinear cable equation
H. Bhrawy, M. A. Zaky
Formulation and solution of space–time fractional Boussinesq equation
S. A. El-Wakil, Essam M. Abulwafa
P. Balasubramaniam, P. Muthukumar, K. Ratnavelu
Discrete fractional diffusion equation
Guo-Cheng Wu, Dumitru Baleanu, Sheng-Da Zeng, Zhen-Guo Deng
Dissipativity and contractivity for fractional-order systems
Dongling Wang, Aiguo Xiao
T. Bakkyaraj, R. Sahadevan
Nonlinear analysis of energy harvesting systems with fractional order physical properties
A. Kitio Kwuimy, G. Litak, C. Nataraj
Ping Zhou, Rongji Bai
Fractional-order delayed predator–prey systems with Holling type-II functional response
F. A. Rihan, S. Lakshmanan, A. H. Hashish, R. Rakkiyappan, E. Ahmed
Conservation laws for time-fractional subdiffusion and diffusion-wave equations
Stanislav Yu. Lukashchuk
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Communications in Nonlinear Science and Numerical Simulation
(selected)
Non-standard extensions of gradient elasticity: Fractional non-locality, memory and fractality
Vasily E. Tarasov, Elias C. Aifantis
Dynamical behavior of fractional-order Hastings–Powell food chain model and its discretization
A.E. Matouk, A.A. Elsadany, E. Ahmed, H.N. Agiza
A new approach on fractional variational problems and Euler–Lagrange equations
F. Bahrami, H. Fazli, A. Jodayree Akbarfam
Fractional-order formulation of power-law and exponential distributions
A. Alexopoulos, G.V. Weinberg
Using general quadratic Lyapunov functions to prove Lyapunov uniform stability for fractional order systems
Manuel A. Duarte-Mermoud, Norelys Aguila-Camacho, Javier A. Gallegos, Rafael Castro-Linares
Existence of weak solutions for a fractional Schrödinger equation
Jiafa Xu, Zhongli Wei, Wei Dong
Stability and resonance conditions of the non-commensurate elementary fractional transfer functions of the second kind
A. Ben Hmed, M. Amairi, M. Aoun
Lie group analysis method for two classes of fractional partial differential equations
Cheng Chen, Yao-Lin Jiang
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Paper
Highlight
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A subordinated advection model for uniform bed load transport from local to regional scales
Yong Zhang, Raleigh L. Martin, Dong Chen, Boris Baeumer, HongGuang Sun, Li Chen
Publication information: Zhang, Y., R. L. Martin, D. Chen, B. Baeumer, H. Sun, and L. Chen (2014), A subordinated advection model for uniform bed load transport from local to regional scales, J. Geophys. Res. Earth Surf., 119, doi: 10.1002/ 2014JF003145.
http://onlinelibrary.wiley.com/doi/10.1002/2014JF003145/abstract
Abstract
Sediment tracers moving as bed load can exhibit anomalous dispersion behavior deviating from Fickian diffusion. The presence of heavy-tailed resting time distributions and thin-tailed step length distributions motivate adoption of fractional-derivative models (FDMs) to describe sediment dispersion, but these models require many parameters that are difficult to quantify. Here we propose a considerably simplified FDM for anomalous transport of uniformly sized grains along straight channels, the subordinated advection equation (SAE), which is based on the concept of time subordination. Unlike previous FDM models with time index g between 0 and 1, our SAE model adopts a value of g between 1 and 2. This g describes random velocities deviating significantly from the mean velocity and models both long resting periods and relatively fast displacements. We show that the model quantifies the dynamics of four bed load transport experiments recorded in the literature. In addition to g, SAE model parameters—velocity and capacity coefficient—are related to the mean and variance of particle velocities, respectively. Successful application of the SAE model also implies a universal probability density for the heavy-tailed waiting time distribution (with finite mean) and a relatively lighter tailed step length distribution for uniform bed load transport from local to regional scales.
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Space-fractional advection-dispersion equations by the Kansa method
Guofei Pang, Wen Chen, Zhuojia Fu
Publication information: Guofei Pang, Wen Chen, Zhuojia Fu, Space-fractional advection-dispersion equations by the Kansa method, Journal of Computational Physics, in press, 2015.
http://www.sciencedirect.com/science/article/pii/S0021999114005130
Abstract
The paper makes the first attempt at applying the Kansa method, a radial basis function meshless collocation method, to the space-fractional advection–dispersion equations, which have recently been observed to accurately describe solute transport in a variety of field and lab experiments characterized by occasional large jumps with fewer parameters than the classical models of integer-order derivative. However, because of non-local property of integro-differential operator of space-fractional derivative, numerical solution of these novel models is very challenging and little has been reported in literature. It is stressed that local approximation techniques such as the finite element and finite difference methods lose their sparse discretization matrix due to this non-local property. Thus, the global methods appear to have certain advantages in numerical simulation of these non-local models because of their high accuracy and smaller size resultant matrix equation. Compared with the finite difference method, popular in the solution of fractional equations, the Kansa method is a recent meshless global technique and is promising for high-dimensional irregular domain problems. In this study, the resultant matrix of the Kansa method is accurately calculated by the Gauss–Jacobi quadrature rule. Numerical results show that the Kansa method is highly accurate and computationally efficient for space-fractional advection–dispersion problems.
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