Novel exact solutions of the conformable resonant Schrödinger equation via two novel procedures with symbolic computational algorithms-Reference-Cited by-同舟云学术

Novel exact solutions of the conformable resonant Schrödinger equation via two novel procedures with symbolic computational algorithms

Published:2023-02-15 Issue:23 Volume:37 Page:
ISSN:0217-9792
Container-title:International Journal of Modern Physics B
language:en
Short-container-title:Int. J. Mod. Phys. B

Author:

Yue Xiao-Guang¹²,Kaplan Melike³,Kaabar Mohammed K. A.⁴⁵⁶^ORCID,Shen Yijuan¹

Affiliation:

1. Wuchang University of Technology, Wuhan, P. R. China

2. Department of Computer Science and Engineering, European University Cyprus, Nicosia, Cyprus

3. Department of Computer Engineering, Engineering and Architecture Faculty, Kastamonu University, Kastamonu, Turkey

4. Institute of Mathematical Sciences, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia

5. Department of Mathematics and Statistics, Washington State University, Pullman, WA 99163, USA

6. Jabalia Camp, United Nations Relief and Works Agency (UNRWA), Palestinian Refugee Camp, Gaza Strip Jabalya, Palestine

Abstract

This study investigates novel exact solutions to the conformable resonant Schrödinger equation. For this purpose, two reliable techniques are employed involving the generalized Kudryashov and exponential rational function procedures. The 3D graphics of some obtained solutions are also given. The investigated equation is very important to the field of ocean engineering and science because many wave phenomena including water waves and rogue waves can be explained with the help of the nonlinear Schrödinger equation.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0217979223502272

Reference43 articles.

1. Multiplicity of solutions for perturbed nonlinear fractional p-Laplacian boundary value systems related with two control parameters

2. A mathematical model for COVID-19 transmission by using the Caputo fractional derivative

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