Computational Mathematics and Numerical Analysis

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 4910

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1. Center of Naval Research and Science and Technology Department, Portuguese Naval Academy—Instituto Universitário Militar, 2810-001 Almada, Portugal
2. CEMAT, Center for Computational and Stochastic Mathematics, Instituto Superior Tecnico, Lisbon University, 1048-001 Lisboa, Portugal
Interests: applied mathematics; computational statistics; computational mathematics; biomedical statistics; decision support systems; data science
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Dear Colleagues,

This Special Issue intends to address computation, mathematical, and numerical methods, which are necessary to understanding many actual problems that arise in applied sciences. Given the large scope of potential problems, the aim of this issue is to collect original and high-quality papers focused on applied presented problems or more general theoretical views concerned with conceptual approaches.

In this Special Issue, we are interested in multidisciplinary research that conveys different and innovative perspectives of the fields of computation, mathematical, statistical, and numerical methods in applied sciences, industrial mathematics, and data science, etc.

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Dr. Marina Alexandra Pedro Andrade
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Keywords

  • mathematical modelling
  • numerical modelling
  • industrial mathematics
  • iterative methods
  • stability theory
  • approximation
  • discretization

Published Papers (8 papers)

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Research

13 pages, 1882 KiB  
Article
Efficient Fourth-Order Weights in Kernel-Type Methods without Increasing the Stencil Size with an Application in a Time-Dependent Fractional PDE Problem
by Tao Liu and Stanford Shateyi
Mathematics 2024, 12(7), 1121; https://doi.org/10.3390/math12071121 - 08 Apr 2024
Viewed by 366
Abstract
An effective strategy to enhance the convergence order of nodal approximations in interpolation or PDE problems is to increase the size of the stencil, albeit at the cost of increased computational burden. In this study, our goal is to improve the convergence orders [...] Read more.
An effective strategy to enhance the convergence order of nodal approximations in interpolation or PDE problems is to increase the size of the stencil, albeit at the cost of increased computational burden. In this study, our goal is to improve the convergence orders for approximating the first and second derivatives of sufficiently differentiable functions using the radial basis function-generated Hermite finite-difference (RBF-HFD) scheme. By utilizing only three equally spaced points in 1D, we are able to boost the convergence rate to four. Extensive tests have been conducted to demonstrate the effectiveness of the proposed theoretical weighting coefficients in solving interpolation and PDE problems. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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34 pages, 808 KiB  
Article
Explicit P1 Finite Element Solution of the Maxwell-Wave Equation Coupling Problem with Absorbing b. c.
by Larisa Beilina and Vitoriano Ruas
Mathematics 2024, 12(7), 936; https://doi.org/10.3390/math12070936 - 22 Mar 2024
Viewed by 389
Abstract
In this paper, we address the approximation of the coupling problem for the wave equation and Maxwell’s equations of electromagnetism in the time domain in terms of electric field by means of a nodal linear finite element discretization in space, combined with a [...] Read more.
In this paper, we address the approximation of the coupling problem for the wave equation and Maxwell’s equations of electromagnetism in the time domain in terms of electric field by means of a nodal linear finite element discretization in space, combined with a classical explicit finite difference scheme for time discretization. Our study applies to a particular case where the dielectric permittivity has a constant value outside a subdomain, whose closure does not intersect the boundary of the domain where the problem is defined. Inside this subdomain, Maxwell’s equations hold. Outside this subdomain, the wave equation holds, which may correspond to Maxwell’s equations with a constant permittivity under certain conditions. We consider as a model the case of first-order absorbing boundary conditions. First-order error estimates are proven in the sense of two norms involving first-order time and space derivatives under reasonable assumptions, among which lies a CFL condition for hyperbolic equations. The theoretical estimates are validated by numerical computations, which also show that the scheme is globally of the second order in the maximum norm in time and in the least-squares norm in space. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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16 pages, 312 KiB  
Article
Collocation Technique Based on Chebyshev Polynomials to Solve Emden–Fowler-Type Singular Boundary Value Problems with Derivative Dependence
by Shabanam Kumari, Arvind Kumar Singh and Utsav Gupta
Mathematics 2024, 12(4), 592; https://doi.org/10.3390/math12040592 - 17 Feb 2024
Viewed by 483
Abstract
In this work, an innovative technique is presented to solve Emden–Fowler-type singular boundary value problems (SBVPs) with derivative dependence. These types of problems have significant applications in applied mathematics and astrophysics. Initially, the differential equation is transformed into a Fredholm integral equation, which [...] Read more.
In this work, an innovative technique is presented to solve Emden–Fowler-type singular boundary value problems (SBVPs) with derivative dependence. These types of problems have significant applications in applied mathematics and astrophysics. Initially, the differential equation is transformed into a Fredholm integral equation, which is then converted into a system of nonlinear equations using the collocation technique based on Chebyshev polynomials. Subsequently, an iterative numerical approach, such as Newton’s method, is employed on the system of nonlinear equations to obtain an approximate solution. Error analysis is included to assess the accuracy of the obtained solutions and provide insights into the reliability of the numerical results. Furthermore, we graphically compare the residual errors of the current method to the previously established method for various examples. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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19 pages, 1832 KiB  
Article
The Computational Testing Procedure for the Comprehensive Lifetime Performance Index of Burr XII Products in Multiple Production Lines
by Shu-Fei Wu, Pei-Hsuan Kuo and Wen-Shuenn Deng
Mathematics 2024, 12(4), 584; https://doi.org/10.3390/math12040584 - 16 Feb 2024
Viewed by 341
Abstract
Extending from a single production line to multiple production lines, a comprehensive life performance index is proposed for evaluating the quality of lifetime products. The connection between the comprehensive lifetime performance index and the individual lifetime performance index is explored. For products with [...] Read more.
Extending from a single production line to multiple production lines, a comprehensive life performance index is proposed for evaluating the quality of lifetime products. The connection between the comprehensive lifetime performance index and the individual lifetime performance index is explored. For products with a lifetime following Burr XII distribution for the ith production line, the maximum likelihood estimation method and the corresponding asymptotic distribution for all lifetime performance indices are derived. Checking whether the comprehensive lifetime performance index has achieved the target value is essentially the same as testing whether each individual lifetime performance index has reached its corresponding target value. A testing procedure is proposed for a given significance level using the maximum likelihood estimator as the test statistic, and the power analysis is presented through graphical representations. For the power analysis, the impacts of sample size, the number of inspection intervals, the removal probability, the level of significance, and the number of production lines on the test power are analyzed, and the results show that there is a monotonic relationship between the test power and the above five impact factors. To illustrate how to apply the proposed testing procedure, we give one practical example with two production lines to test whether the comprehensive production process is capable. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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14 pages, 339 KiB  
Article
Convergence of the Euler Method for Impulsive Neutral Delay Differential Equations
by Yang Sun, Gui-Lai Zhang, Zhi-Wei Wang and Tao Liu
Mathematics 2023, 11(22), 4684; https://doi.org/10.3390/math11224684 - 17 Nov 2023
Viewed by 552
Abstract
In this paper, we are concerned with a fixed stepsize Euler method for a class of linear impulsive neutral delay differential equations. By taking the partition nodes for the Euler scheme and employing the linear interpolation, we strictly prove the method is convergent [...] Read more.
In this paper, we are concerned with a fixed stepsize Euler method for a class of linear impulsive neutral delay differential equations. By taking the partition nodes for the Euler scheme and employing the linear interpolation, we strictly prove the method is convergent of order one. Two examples illustrating the efficiency results are also presented. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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13 pages, 819 KiB  
Article
Explicit Symplectic Runge–Kutta–Nyström Methods Based on Roots of Shifted Legendre Polynomial
by Jun Zhang, Jingjing Zhang and Shangyou Zhang
Mathematics 2023, 11(20), 4291; https://doi.org/10.3390/math11204291 - 15 Oct 2023
Viewed by 712
Abstract
To date, all explicit symplectic Runge–Kutta–Nyström methods of order five or above are derived by numerical solutions of order condition equations and symplectic condition. In this paper, we derive 124 sets of seven-stage fifth-order explicit symplectic Runge–Kutta–Nyström methods with closed-form coefficients in the [...] Read more.
To date, all explicit symplectic Runge–Kutta–Nyström methods of order five or above are derived by numerical solutions of order condition equations and symplectic condition. In this paper, we derive 124 sets of seven-stage fifth-order explicit symplectic Runge–Kutta–Nyström methods with closed-form coefficients in the Butcher tableau using the roots of a degree-3 shifted Legendre polynomial. One method is analyzed and its P-stable interval is derived. Numerical tests on the two newly discovered methods are performed, showing their long-time stability and large step size stability over some existing methods. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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18 pages, 753 KiB  
Article
Enhancing the Convergence Order from p to p + 3 in Iterative Methods for Solving Nonlinear Systems of Equations without the Use of Jacobian Matrices
by Alicia Cordero, Miguel A. Leonardo-Sepúlveda, Juan R. Torregrosa and María P. Vassileva
Mathematics 2023, 11(20), 4238; https://doi.org/10.3390/math11204238 - 10 Oct 2023
Viewed by 737
Abstract
In this paper, we present an innovative technique that improves the convergence order of iterative schemes that do not require the evaluation of Jacobian matrices. As far as we know, this is the first technique that allows us the achievement of an increase, [...] Read more.
In this paper, we present an innovative technique that improves the convergence order of iterative schemes that do not require the evaluation of Jacobian matrices. As far as we know, this is the first technique that allows us the achievement of an increase, from p to p+3 units, in the order of convergence. This is constructed from any Jacobian-free scheme of order p. We conduct comprehensive numerical tests first in academical examples to validate the theoretical results, showing the efficiency and effectiveness of the new Jacobian-free schemes. Then, we apply them on the non-differentiable partial differential equations that models the nutrient diffusion in a biological substrate. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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13 pages, 318 KiB  
Article
A New R-Function to Estimate the PDF of the Product of Two Uncorrelated Normal Variables
by Antonio Seijas-Macias, Amílcar Oliveira and Teresa A. Oliveira
Mathematics 2023, 11(16), 3515; https://doi.org/10.3390/math11163515 - 14 Aug 2023
Viewed by 792
Abstract
This paper analyses the implementation of a procedure using the software R to calculate the Probability Density Function (PDF) of the product of two uncorrelated Normally Distributed Random Variables. The problem of estimating the distribution of the product of two random variables has [...] Read more.
This paper analyses the implementation of a procedure using the software R to calculate the Probability Density Function (PDF) of the product of two uncorrelated Normally Distributed Random Variables. The problem of estimating the distribution of the product of two random variables has been solved for some particular cases, but there is no unique expression for all possible situations. In our study, we chose Rohatgi’s theorem as a basis for approximating the product of two uncorrelated Normally Distributed Random Variables. The numerical approximation of the product PDF was calculated using a function that we implemented in R. Several numerical examples show that the approximations obtained in R fit the theoretical values of the product distributions. The results obtained with our R function are very positive when we compare them with the Monte Carlo Simulation of the product of the two variables. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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