Abstract and Applied Analysis

Scaling, Self-Similarity, and Systems of Fractional Order


Publishing date
13 Jun 2014
Status
Published
Submission deadline
24 Jan 2014

1Department of Mathematics, University of Salerno, Via Ponte Don Melillo, 84084 Fisciano, Italy

2Helmholtz Zentrum München, Ingostädter Landstraße 1, 85764 Neuherberg, Germany

3East China Normal University, 500 Dong-Chuan Road, Shanghai 200241, China

4Sichuan Normal University, Chengdu, Sichuan 610101, China

5Yazd University, Yazd, Iran


Scaling, Self-Similarity, and Systems of Fractional Order

Description

Scaling (power-type) laws and self-similarity reveal the fundamental property of some “pathological” mathematical objects such as nondifferentiable functions and fractals, which is an expedient method to investigate data. A self-similar (scaling) object repeats itself at different scales in space or time. The property of self-similarity gives us a better opportunity to study phenomena from all analytical and computational aspects.

Scale dependence and multiscale analysis are peculiar properties of some families of special functions and can be observed in nature. A continuous scale transformation from one scale to another implies a generalization and suitable extension of differential operator, as it happens with fractional derivatives.

Dynamical processes and systems of fractional order attract researchers from many areas of sciences and technologies, ranging from mathematics and physics to computer science. From the analytical point of view, these kinds of problems often lead us to deal with the concepts of scales, fractals, and fractional operators. For instance, medical images nowadays play an essential role in detection and diagnosis of numerous diseases, and a suitable scale-depending interpretation of the images is a fundamental aspect of the clinical investigation. Nonlinear analysis of data collected by modern devices offers still unsolved analytical problems related to complex physics, abstract mathematical theories, and nonlinear science.

The focus of this special issue is both on the abstract mathematical models on scaling and self-similarity and on the applied computations on those dynamical processes and systems of fractional order towards the applications in all aspects of theoretical and practical study in analysis.

We are soliciting original high quality research papers on topics of interest connected with scaling and self-similarity. Potential topics include, but are not limited to:

  • Self-similar analytical problems and scale-depending theoretical and applied analytical problems
  • Fractals, nondifferentiable functions, and theoretical and applied analytical problems of fractal type
  • 1/f process, fractional Brownian motion, fractional Gaussian noise, self-similar processes, long memory processes, heavy-tailed random processes, and power-law systems
  • Fractional differential/integral equations, fractional operators, and systems of fractional order
  • Complex systems and nonlinear processing
  • Wavelets
  • Scaling and self-similarity in applications by focusing on theoretical and analytical aspects arising, e.g., in nonlinear analysis of data, image analysis, data science, and system science

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/aaa/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/aaa/ssss/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 843018
  • - Editorial

Scaling, Self-Similarity, and Systems of Fractional Order

Carlo Cattani | Martin Ehler | ... | Mohammadreza Hooshmandasl
  • Special Issue
  • - Volume 2014
  • - Article ID 402918
  • - Research Article

-Coverings of Hölder-Zygmund Type Spaces on Data-Defined Manifolds

Martin Ehler | Frank Filbir
  • Special Issue
  • - Volume 2014
  • - Article ID 765782
  • - Research Article

Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion

Xu Han | Jiasong Wu | ... | Huazhong Shu
  • Special Issue
  • - Volume 2014
  • - Article ID 545391
  • - Research Article

Applying Data Clustering Feature to Speed Up Ant Colony Optimization

Chao-Yang Pang | Ben-Qiong Hu | ... | Zheng-Chao Shan
  • Special Issue
  • - Volume 2014
  • - Article ID 792194
  • - Research Article

Nonrigid Registration of Monomodal MRI Using Linear Viscoelastic Model

Jian Yang | Yang Chen | ... | Songyuan Tang
  • Special Issue
  • - Volume 2014
  • - Article ID 914386
  • - Research Article

A New Definition of Fractional Derivatives Based on Truncated Left-Handed Grünwald-Letnikov Formula with and Median Correction

Zhiwu Liao
  • Special Issue
  • - Volume 2014
  • - Article ID 157542
  • - Research Article

Theory Analysis of Left-Handed Grünwald-Letnikov Formula with to Detect and Locate Singularities

Shaoxiang Hu | Ping Liang
  • Special Issue
  • - Volume 2014
  • - Article ID 782393
  • - Research Article

Mathematical Models Arising in the Fractal Forest Gap via Local Fractional Calculus

Chun-Ying Long | Yang Zhao | Hossein Jafari
  • Special Issue
  • - Volume 2014
  • - Article ID 964373
  • - Research Article

A Discretized Tikhonov Regularization Method for a Fractional Backward Heat Conduction Problem

Zhi-Liang Deng | Xiao-Mei Yang
  • Special Issue
  • - Volume 2014
  • - Article ID 548126
  • - Research Article

Similarity Solution for Fractional Diffusion Equation

Jun-Sheng Duan | Ai-Ping Guo | Wen-Zai Yun
Abstract and Applied Analysis
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Acceptance rate7%
Submission to final decision110 days
Acceptance to publication33 days
CiteScore1.600
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