2020
DOI: 10.1007/s40314-020-01140-8
|View full text |Cite
|
Sign up to set email alerts
|

Combining fractional differential transform method and reproducing kernel Hilbert space method to solve fuzzy impulsive fractional differential equations

Abstract: The aim of this paper is to use the combination of Reproducing kernel Hilbert space method (RKHSM) and fractional differential transform method (FDTM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutions of this class of equations are a difficult topic to analyze. In this study, convergence analysis, estimations error and bounds errors are discussed in detail under some hypotheses which provide the theoretical basis of the proposed algorithm. Some… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
7
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 24 publications
0
7
0
Order By: Relevance
“…Approximation of functional equations was studied in MVFN spaces, fuzzy metric spaces and random multi‐normed space 7–10 . Also, stability results for stochastic fractional differential and integral equations were considered in previous works 11–18 …”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Approximation of functional equations was studied in MVFN spaces, fuzzy metric spaces and random multi‐normed space 7–10 . Also, stability results for stochastic fractional differential and integral equations were considered in previous works 11–18 …”
Section: Preliminariesmentioning
confidence: 99%
“…Approximation of functional equations was studied in MVFN spaces, fuzzy metric spaces and random multi-normed space. [7][8][9][10] Also, stability results for stochastic fractional differential and integral equations were considered in previous works. [11][12][13][14][15][16][17][18] Now, we present an alternative fixed point theorem from the literature:…”
Section: Introductionmentioning
confidence: 99%
“…Based on the RKFs theory [10], a class of numerical approaches to solve differential and integral equations were developed and improved (see, e.g., [1–5, 7, 8, 23–27, 30, 33, 34, 36, 39, 40]). In order to solve (2.2) on the basis of the RKFs theory, we shall introduce the approximation in the RKHS and the Mittag‐Leffler RKFs for estimating Caputo time fractional derivative.…”
Section: Numerical Approachmentioning
confidence: 99%
“…Safari et al [1] have investigated the rainfallrunoff modeling through regression in the reproducing kernel Hilbert space algorithm. Najafi et al [2] have worked on the combining fractional differential transform method and reproducing kernel Hilbert space method to solve fuzzy impulsive fractional differential equations. Sahihi et al [3] have searched the system of second-order boundary value problems using a new algorithm based on the reproducing kernel Hilbert space.…”
Section: Introductionmentioning
confidence: 99%