2021
DOI: 10.1155/2021/7059194
|View full text |Cite
|
Sign up to set email alerts
|

Least Square Homotopy Perturbation Method for Ordinary Differential Equations

Abstract: In this study, a new modification of the homotopy perturbation method (HPM) is introduced for various order boundary value problems (BVPs). In this modification, HPM is hybrid with least square optimizer and named as the least square homotopy perturbation method (LSHPM). The proposed scheme is tested against various linear and nonlinear BVPs (second to seventh order DEs). Validity of the obtained solutions is confirmed by finding absolute errors. To analyze the efficiency of the proposed scheme, tested problem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 24 publications
0
9
0
Order By: Relevance
“…On the contrary, the system of the peripheral region cannot be solved exactly, so we adopted the scheme of perturbation (HPM) [46][47][48] in which the same linear operator is chosen for velocity, heat, and energy functions, i.e., H � z 2 /zr 2 + 1/rz/zr. After using the routine calculation of HPM, the final solutions have been composed in subsequent forms:…”
Section: Solution Methodsmentioning
confidence: 99%
“…On the contrary, the system of the peripheral region cannot be solved exactly, so we adopted the scheme of perturbation (HPM) [46][47][48] in which the same linear operator is chosen for velocity, heat, and energy functions, i.e., H � z 2 /zr 2 + 1/rz/zr. After using the routine calculation of HPM, the final solutions have been composed in subsequent forms:…”
Section: Solution Methodsmentioning
confidence: 99%
“…In Table 3, we report the absolute error difference between the exact analytical solution and, the proposed solution E EDSM and, further validated with E SRKM4 and the other methods described in [23].…”
Section: Numerical Examplesmentioning
confidence: 97%
“…These methods are of great interest for the scientific community to accurately explore and predict different situations. Few of these methods include Adomian decomposition method (ADM) and its different modifications [9], variation iterative method (VIM) [10], HPM and its various modifications [11,12,13,14,15], residual power series method (RPSM) [16], and Block-Pulse functions method with operational matrix [17].…”
Section: Introductionmentioning
confidence: 99%