Stochastic Modeling and Optimization Techniques

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 373

Special Issue Editors


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Guest Editor
Faculty of Sciences and Mathematics, University of Priština, Lole Ribara 29, 38220 Kosovska Mitrovica, Serbia
Interests: applied and computational mathematics; reliability theory; failure analysis; optimization

E-Mail Website
Guest Editor
Faculty of Sciences and Mathematics, University of Priština, Lole Ribara 29, 38220 Kosovska Mitrovica, Serbia
Interests: fixed point theory; functional and complex analysis; metric spaces

E-Mail Website
Guest Editor
Faculty of Sciences and Mathematics, University of Priština, Lole Ribara 29, 38220 Kosovska Mitrovica, Serbia
Interests: applied mathematics

Special Issue Information

Dear Colleagues,

It is our pleasure to invite you to submit a paper to this Special issue of the MDPI journal Axioms entitled “Stochastic Modeling and Optimization Techniques”. This Special Issue seeks submissions that explore novel stochastic models, creative optimization techniques that handle unpredictability, and the synergistic blending of these fields to solve real problems.

We welcome papers that extend the theoretical foundations of stochastic modeling and optimization, propose new computational algorithms, and demonstrate applications in areas where uncertainty is a significant factor. Significant theoretical insights or methodological advancements should be provided, ideally supported by rigorous mathematical analysis and proofs. Also, contributions that integrate recent advances in stochastic modeling with machine learning techniques for optimization under uncertainty are especially encouraged.

The scope of this Special Issue includes, but is not limited to, stochastic differential equations, probability theory, statistical analysis, Markov processes, Bayesian optimization, Monte Carlo methods, and game theory under uncertainty. The papers that address challenges in numerical methods for stochastic optimization, the convergence and stability of algorithms, and the application of fixed-point theories in novel contexts are more than welcome.

The presented works should demonstrate originality in concepts and applications while advancing both theoretical foundations and practical impact.

Dr. Natasa Kontrec
Dr. Jelena Vujakovic
Dr. Hranislav Milosevic
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. Axioms 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 2400 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

  • stochastic modeling
  • optimization techniques
  • probability theory
  • statistical analysis
  • fixed point theory
  • game theory

Published Papers (1 paper)

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Research

21 pages, 399 KiB  
Article
Randomly Stopped Sums, Minima and Maxima for Heavy-Tailed and Light-Tailed Distributions
by Remigijus Leipus, Jonas Šiaulys, Svetlana Danilenko and Jūratė Karasevičienė
Axioms 2024, 13(6), 355; https://doi.org/10.3390/axioms13060355 - 25 May 2024
Viewed by 277
Abstract
This paper investigates the randomly stopped sums, minima and maxima of heavy- and light-tailed random variables. The conditions on the primary random variables, which are independent but generally not identically distributed, and counting random variable are given in order that the randomly stopped [...] Read more.
This paper investigates the randomly stopped sums, minima and maxima of heavy- and light-tailed random variables. The conditions on the primary random variables, which are independent but generally not identically distributed, and counting random variable are given in order that the randomly stopped sum, random minimum and maximum is heavy/light tailed. The results generalize some existing ones in the literature. The examples illustrating the results are provided. Full article
(This article belongs to the Special Issue Stochastic Modeling and Optimization Techniques)
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