Special Issue "The Materials Structure and Fractal Nature"

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: 15 December 2021.

Special Issue Editors

Prof. Dr. Vojislav V. Mitic
E-Mail Website
Guest Editor
1. Faculty of Electronic Engineering, University of Nis, 18000 Nis, Serbia
2. Institute of Technical Sciences, Serbian Academy of Sciences and Arts, University of Belgrade, 11000 Belgrade, Serbia
Interests: electronic ceramics; microstructure; neural networks; graphs and fractals; sintering
Prof. Dr. Cristina Serpa
E-Mail Website
Guest Editor
ISEL - Instituto Superior de Engenharia de Lisboa, CMAFcIO - Centro de Matemática, Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
Interests: fractals; dynamical systems; functional analysis; fractal regression and Hausdorff dimension
Prof. Dr. Hans-Jörg Fecht
E-Mail Website
Guest Editor
Institute of Functional Nanosystems, Ulm University, Albert-Einstein-Allee 47, 89081 Ulm, Germany
Interests: advanced nanomaterials; nanotechnology; interface engineering
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The material sciences, with fractal nature analysis, open a new frontier within total matter.

Chaos defines a phenomenon that is in apparent disorder. Its complex behavior can be difficult to understand. It may appear everywhere and with different mathematical structure laws. The high sensitivity to initial conditions brings complexity to an analytical perspective. Fractals are a form of chaos, where order is ruled by self-similarity, i.e., where parts of the whole are repeated in a smaller scale in some portions of the total structure. A pure fractal is characterized by a chain of an infinite number of levels of self-similarity. In applied studies, when an object or a phenomenon present a complex structure, one way to analyze it is to work with fractals, by doing a fractal reconstruction (through fractal regression or interpolation), or by estimating its Hausdorff dimension, through geometric or numerical methods. Fractal coefficients (or contraction factors, either vertical factors) and the Hausdorff dimension are key indicators of the fractal characterization of real data. Bigger coefficients mean higher fractal structure oscillations. Fractalization may be understood as a process of approximating a given data set to a fractal function. Fractal regression is a method that includes a finite chain of fractal levels, and the estimates of fractal coefficients are obtained numerically.

One special case of fractals is so-called random fractals. Several approaches to the study of Brownian random functions are possible, such as fractional calculus. In this context, since the behavior of Brownian motion is intrinsically irregular and does not suit a traditional differential perspective, it is conceivable to establish relations between fractional calculus and fractals in this topic. This is one fact that may foresee some relationship between fractional calculus and fractals.

Both fractals and fractional mathematics integrate and open up new insights that can help toward a more complete understanding of the total nature of matter, including biophysical and technical sciences systems in the frame of overall reality.

Prof. Dr. Vojislav V. Mitic
Prof. Dr. Cristina Serpa
Prof. Dr. Hans-Jörg Fecht
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 papers will be 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 quarterly 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 1600 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

  • Fractal
  • Fractal reconstruction
  • Chaos
  • Hausdorff dimension
  • Fractalization
  • Fractional

Published Papers (1 paper)

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Research

Article
A q-Gradient Descent Algorithm with Quasi-Fejér Convergence for Unconstrained Optimization Problems
Fractal Fract. 2021, 5(3), 110; https://doi.org/10.3390/fractalfract5030110 - 03 Sep 2021
Viewed by 202
Abstract
We present an algorithm for solving unconstrained optimization problems based on the q-gradient vector. The main idea used in the algorithm construction is the approximation of the classical gradient by a q-gradient vector. For a convex objective function, the quasi-Fejér convergence [...] Read more.
We present an algorithm for solving unconstrained optimization problems based on the q-gradient vector. The main idea used in the algorithm construction is the approximation of the classical gradient by a q-gradient vector. For a convex objective function, the quasi-Fejér convergence of the algorithm is proved. The proposed method does not require the boundedness assumption on any level set. Further, numerical experiments are reported to show the performance of the proposed method. Full article
(This article belongs to the Special Issue The Materials Structure and Fractal Nature)
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