A survey on relaxed-type equations with applications

Abstract This paper presents a comprehensive survey of the relaxed-type equations, a class of partial differential equations that extend the Fourier and Fickian-type equations by incorporating the finite propagation speed concept or micro-structural interactions influences. It explores the theoretical foundations of such equations, examines their mathematical properties, and highlights their significance in modeling different physical phenomena in a variety of applications. Moreover, recent advances and future prospects from various scientific fields are provided, opening the door for further research in this dynamic and developing field of study.

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Publication Details

Journal
Archives of Computational Methods in Engineering
Published
2025-09-04
DOI
https://doi.org/10.1007/s11831-025-10354-0
Citations
1
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
3.69

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article

A survey on relaxed-type equations with applications

Majid Khalaf, E. F. El-Gazar
1 citations
Archives of Computational Methods in Engineering
Numerical methods in inverse problems
3.69
article

A survey on relaxed-type equations with applications

Majid Khalaf, E. F. El-Gazar
article en
1 citations

Abstract

Abstract This paper presents a comprehensive survey of the relaxed-type equations, a class of partial differential equations that extend the Fourier and Fickian-type equations by incorporating the finite propagation speed concept or micro-structural interactions influences. It explores the theoretical foundations of such equations, examines their mathematical properties, and highlights their significance in modeling different physical phenomena in a variety of applications. Moreover, recent advances and future prospects from various scientific fields are provided, opening the door for further research in this dynamic and developing field of study.

Archives of Computational Methods in EngineeringVol. 33(2)
Benha University (EG)
Benha University
Openalex Percentile: Top 8%
Numerical methods in inverse problems
3.69
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