2022
DOI: 10.1016/j.rinp.2022.105512
|View full text |Cite
|
Sign up to set email alerts
|

A reduction technique to solve the generalized nonlinear dispersive mK(m,n) equation with new local derivative

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
10
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 43 publications
(10 citation statements)
references
References 31 publications
0
10
0
Order By: Relevance
“…Their findings demonstrate that the novel features of the capacitor microphone under consideration are recognized because the kernel may be configured more freely than in the prior mathematical formalism. The new local derivative, [ 46 ] Nuccis reduction and conservation laws, [ 47 ] fractional order, [ 48 ] and solutions of nonlinear models. [ 49 ] According to their results, the kernel may be designed more flexibly than in the previous mathematical formalism, allowing for the recognition of unique properties of the capacitor microphone under investigation.…”
Section: Introductionmentioning
confidence: 99%
“…Their findings demonstrate that the novel features of the capacitor microphone under consideration are recognized because the kernel may be configured more freely than in the prior mathematical formalism. The new local derivative, [ 46 ] Nuccis reduction and conservation laws, [ 47 ] fractional order, [ 48 ] and solutions of nonlinear models. [ 49 ] According to their results, the kernel may be designed more flexibly than in the previous mathematical formalism, allowing for the recognition of unique properties of the capacitor microphone under investigation.…”
Section: Introductionmentioning
confidence: 99%
“…Due to this complexity, obtaining analytical solutions is often a challenge, necessitating the evolution of various approaches to attain approximate or numerical solutions. In spite of this difficulty, methodologies such as the tanh technique [8], unified Riccati equation expansion method [9], enhanced modified extended tanh method [10], extended direct algebraic method [11], simplest equation method [12], direct mapping method [13], Hirota method [14], modification form of extended auxiliary equation mapping method [15], Kudryashov methods [16, 17], false(Gfalse/G,1false/Gfalse)$$ \left({G}^{\prime }/G,1/G\right) $$‐expansion method [18], ansatz transformations [19], Nucci's reduction method [20–22], sinh‐Gordon equation expansion, and ( GG2$$ \frac{G^{\prime }}{G^2} $$)‐expansion function methods [23] have yielded analytical solutions for specific types of PDEs. These methods might be generally used after NLPDEs are converted into ordinary differential equations (ODEs) utilizing wave transformation.…”
Section: Introductionmentioning
confidence: 99%
“…Hashemi et al [51] investigated the delay fractional differential equation of pantograph type discretized using fractional order alpert multiwavelets. Partohaghighi et al [52] investigated the fractional advection-dispersion equation numerical solution utilizing shifted Vieta-Lucas polynomials. Xia et al [53] investigated the reduction for addressing the new local derivative in the generalized nonlinear dispersive mK (m,n) equation.…”
Section: Introductionmentioning
confidence: 99%