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Mathematics, Volume 11, Issue 18

September-2 2023 - 220 articles

Cover Story: An artificial neural network-based radial basis function (RBF) collocation method is widely used in various scientific and engineering disciplines that involve finding solutions to elliptic partial differential equations subject to certain boundary conditions. The training data consist of given boundary data and the radial distances between exterior fictitious sources and boundary points, which are used to construct RBFs. The distinctive feature of this approach is that it avoids the discretization of the governing equation, which offers simplicity in solving elliptic BVPs with only given boundary data and RBFs. The results highlight the effectiveness and efficiency of the proposed method, demonstrating its capability to deliver accurate solutions with minimal data input. View this paper
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Articles (220)

  • Article
  • Open Access
7 Citations
1,814 Views
14 Pages

21 September 2023

In this study, we explore the implications of a third-order differential subordination in the context of analytic functions associated with fractional differential operators. Our investigation involves the consideration of specific admissible classes...

  • Article
  • Open Access
2 Citations
1,764 Views
28 Pages

21 September 2023

This manuscript derives optimal consumption and investment strategies for risk-averse investors under the 4/2 stochastic volatility class of models. We work under an expected utility (EUT) framework and consider a Constant Relative Risk Aversion (CRR...

  • Article
  • Open Access
4 Citations
2,384 Views
16 Pages

A Comparative Study of Fuzzy Domination and Fuzzy Coloring in an Optimal Approach

  • Annamalai Meenakshi,
  • Adhimoolam Kannan,
  • Miroslav Mahdal,
  • Krishnasamy Karthik and
  • Radek Guras

21 September 2023

An optimal network refers to a computer or communication network designed, configured, and managed to maximize efficiency, performance, and effectiveness while minimizing cost and resource utilization. In a network design and management context, opti...

  • Article
  • Open Access
3 Citations
2,211 Views
31 Pages

Change-Point Detection in the Volatility of Conditional Heteroscedastic Autoregressive Nonlinear Models

  • Mohamed Salah Eddine Arrouch,
  • Echarif Elharfaoui and
  • Joseph Ngatchou-Wandji

21 September 2023

This paper studies single change-point detection in the volatility of a class of parametric conditional heteroscedastic autoregressive nonlinear (CHARN) models. The conditional least-squares (CLS) estimators of the parameters are defined and are prov...

  • Article
  • Open Access
2 Citations
3,342 Views
19 Pages

21 September 2023

This study analyzes the market value of listed companies in Mainland China across different industries, including capital-intensive, labor-intensive, technology-intensive, and other industries. A generalized neoclassical investment model that conside...

  • Article
  • Open Access
1 Citations
2,563 Views
19 Pages

21 September 2023

Mathematical models are becoming indispensable tools to explore the complexities of biological systems at cellular levels. We present a model to explore the baseline immune cell interactions for in vitro polyclonal antibody synthesis via B-cells regu...

  • Article
  • Open Access
7 Citations
2,408 Views
24 Pages

21 September 2023

A novel method is proposed to investigate the pattern of variation in the residual strength and reliability of wind turbine gear. First, the interaction between loads and the effect of the loading sequence is considered based on the fatigue damage ac...

  • Article
  • Open Access
2 Citations
2,405 Views
16 Pages

Predator–Prey Model Considering Implicit Marine Reserved Area and Linear Function of Critical Biomass Level

  • Arjun Hasibuan,
  • Asep Kuswandi Supriatna,
  • Endang Rusyaman and
  • Md. Haider Ali Biswas

21 September 2023

In this work, we examine a predator–prey model that considers the implicit marine reserve in prey species and a linear function of critical biomass level. The model’s basic properties (existence, uniqueness, positivity, boundedness, and p...

  • Article
  • Open Access
6 Citations
2,124 Views
19 Pages

21 September 2023

Computation-intensive applications offloading is challenging, especially in the designated regions where communication infrastructure is absent or compromised. In this paper, we present a Space–Air–Ground integrated Mobile Edge Computing...

  • Feature Paper
  • Article
  • Open Access
14 Citations
2,768 Views
20 Pages

Adaptively Learned Modeling for a Digital Twin of Hydropower Turbines with Application to a Pilot Testing System

  • Hong Wang,
  • Shiqi (Shawn) Ou,
  • Ole Gunnar Dahlhaug,
  • Pål-Tore Storli,
  • Hans Ivar Skjelbred and
  • Ingrid Vilberg

21 September 2023

In the development of a digital twin (DT) for hydropower turbines, dynamic modeling of the system (e.g., penstock, turbine, speed control) is crucial, along with all the necessary data interface, virtualization, and dashboard designs. Since the DT mu...

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Mathematics - ISSN 2227-7390