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A reliable algorithm for solving linear and nonlinear schrÖdinger equations

  • Shaher Momani
  • , Omar Abu Arqub
  • , Banan Maayah
  • , Feras Yousef
  • , Ahmed Alsaedi
  • University of Jordan
  • Faculty of Sciences, King Abdulaziz University
  • Al-Balqa Applied University

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper is devoted to study the analytical series solutions for the Schrödinger partial differential equations. By a general residual power series method, we construct the approximate analytical series solutions for linear and nonlinear Schrödinger equations. The proposed technique is fully compatible with the complexity of this problem and obtained results are highly encouraging. These applications show that residual power series method is a sim-ple, effective and powerful method for seeking analytical series solutions of partial differential equations.

Original languageEnglish
Pages (from-to)151-160
Number of pages10
JournalApplied and Computational Mathematics
Volume17
Issue number2
StatePublished - 2018
Externally publishedYes

Keywords

  • Multiple power series
  • PDEs
  • Residual power series method
  • Schrödinger equation

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