Partial Differential Equations with Applications: Analytical Methods, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C1: Difference and Differential Equations".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1483

Special Issue Editors


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Department of Mathematics, Universidad de Cádiz, 11510 Cádiz, Spain
Interests: partial differential equations; ordinary differential equations; solutions of differential equations; applications to differential equations
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Guest Editor
International Institute for Symmetry Analysis and Mathematical Modelling, Department of Mathematical Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa
Interests: nonlinear differential equations; Lie symmetry method; closed-form solutions; conservation laws; mathematical physics; analytical solution methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Differential equations are essential to describe a real-world system as a mathematical model. In particular, partial differential equations are used extensively in physics and engineering, where the problems involve functions of several variables, such as the propagation of heat or sound, fluid flow, elasticity, etc.

In recent years, several methods have been developed to find analytical solutions to partial differential equations. Currently, symmetry methods are intensively applied to solve partial differential equations, thereby obtaining exact analytic solutions.

Moreover, identifying conservation laws or conserved quantities plays an important role in the solution of a problem.

Furthermore, there has been considerable research in Painlevé-type equations since 1980. Specifically, the Painlevé tests are remarkable in their ability to predict whether an equation is integrable.

The aim of this Special Issue is to show recent advances in the theory of partial differential equations, as well as applications to scientific problems.

As the title suggests, this Special Issue is a continuation of the Special Issue “Partial Differential Equations with Applications: Analytical Methods”, which has successfully included some excellent papers. We hope that this new Special Issue will attract the attention of more scholars who wish to publish their interesting insights.

Prof. Dr. Almudena del Pilar Marquez Lozano
Prof. Dr. Chaudry Masood Khalique
Guest Editors

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Keywords

  • partial differential equations
  • ordinary differential equations
  • mathematical model
  • analytical solutions
  • solution techniques
  • Lie symmetries
  • conservation laws
  • symmetry methods
  • Painlevé properties
  • Painlevé test

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Published Papers (1 paper)

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Research

18 pages, 1964 KiB  
Article
Fast and Compact Partial Differential Equation (PDE)-Based Dynamic Reconstruction of Extended Position-Based Dynamics (XPBD) Deformation Simulation
by Junheng Fang, Zhidong Xiao, Xiaoqiang Zhu, Lihua You, Xiaokun Wang and Jianjun Zhang
Mathematics 2024, 12(20), 3175; https://doi.org/10.3390/math12203175 - 11 Oct 2024
Viewed by 1131
Abstract
Dynamic simulation is widely applied in the real-time and realistic physical simulation field. How to achieve natural dynamic simulation results in real-time with small data sizes is an important and long-standing topic. In this paper, we propose a dynamic reconstruction and interpolation method [...] Read more.
Dynamic simulation is widely applied in the real-time and realistic physical simulation field. How to achieve natural dynamic simulation results in real-time with small data sizes is an important and long-standing topic. In this paper, we propose a dynamic reconstruction and interpolation method grounded in physical principles for simulating dynamic deformations. This method replaces the deformation forces of the widely used eXtended Position-Based Dynamics (XPBD), which are traditionally derived from the gradient of the energy potential defined by the constraint function, with the elastic beam bending forces to more accurately represent the underlying deformation physics. By doing so, it establishes a mathematical model based on dynamic partial differential equations (PDE) for reconstruction, which are the differential equations involving both the parametric variable u and the time variable t. This model also considers the inertia forces caused by acceleration. The analytical solution to this model is then integrated with the XPBD framework, built upon Newton’s equations of motion. This integration reduces the number of design variables and data sizes, enhances simulation efficiency, achieves good reconstruction accuracy, and makes deformation simulation more capable. The experiment carried out in this paper demonstrates that deformed shapes at about half of the keyframes simulated by XPBD can be reconstructed by the proposed PDE-based dynamic reconstruction algorithm quickly and accurately with a compact and analytical representation, which outperforms static B-spline-based representation and interpolation, greatly shortens the XPBD simulation time, and represents deformed shapes with much smaller data sizes while maintaining good accuracy. Furthermore, the proposed PDE-based dynamic reconstruction algorithm can generate continuous deformation shapes, which cannot be generated by XPBD, to raise the capacity of deformation simulation. Full article
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