Solution of quadratic nonlinear problems with multiple scales Lindstedt-Poincare method
dc.contributor.author | Pakdemirli M. | |
dc.contributor.author | Sari G. | |
dc.date.accessioned | 2024-07-22T08:14:08Z | |
dc.date.available | 2024-07-22T08:14:08Z | |
dc.date.issued | 2015 | |
dc.description.abstract | A recently developed perturbation algorithm namely the multiple scales Lindstedt-Poincare method (MSLP) is employed to solve the mathematical models. Three different models with quadratic nonlinearities are considered. Approximate solutions are obtained with classical multiple scales method (MS) and the MSLP method and they are compared with the numerical solutions. It is shown that MSLP solutions are better than the MS solutions for the strongly nonlinear case of the considered models. © 2015, Association for Scientific Research. All rights reserved. | |
dc.identifier.DOI-ID | 10.19029/mca-2015-012 | |
dc.identifier.issn | 1300686X | |
dc.identifier.uri | http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/16479 | |
dc.language.iso | English | |
dc.publisher | Association for Scientific Research | |
dc.subject | Algorithms | |
dc.subject | Perturbation techniques | |
dc.subject | Approximate solution | |
dc.subject | Lindstedt-Poincare method | |
dc.subject | Multiple scales methods | |
dc.subject | Nonlinear problems | |
dc.subject | Numerical solution | |
dc.subject | Perturbation method | |
dc.subject | Quadratic nonlinearities | |
dc.subject | Strongly nonlinear | |
dc.subject | Numerical methods | |
dc.title | Solution of quadratic nonlinear problems with multiple scales Lindstedt-Poincare method | |
dc.type | Article |