{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T06:35:47Z","timestamp":1763620547172,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T00:00:00Z","timestamp":1554163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Nur Nadiah Abd Hamid","award":["1001\/PMATHS\/8011073"],"award-info":[{"award-number":["1001\/PMATHS\/8011073"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This paper is concerned with the numerical solution of the nonlinear Schr\u00f6dinger (NLS) equation with Neumann boundary conditions by quintic B-spline Galerkin finite element method as the shape and weight functions over the finite domain. The Galerkin B-spline method is more efficient and simpler than the general Galerkin finite element method. For the Galerkin B-spline method, the Crank Nicolson and finite difference schemes are applied for nodal parameters and for time integration. Two numerical problems are discussed to demonstrate the accuracy and feasibility of the proposed method. The error norms      L 2     ,      L \u221e      and conservation laws      I 1  , \u00a0  I 2      are calculated to check the accuracy and feasibility of the method. The results of the scheme are compared with previously obtained approximate solutions and are found to be in good agreement.<\/jats:p>","DOI":"10.3390\/sym11040469","type":"journal-article","created":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T03:39:28Z","timestamp":1554262768000},"page":"469","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Numerical Solution of Nonlinear Schr\u00f6dinger Equation with Neumann Boundary Conditions Using Quintic B-Spline Galerkin Method"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5103-6092","authenticated-orcid":false,"given":"Azhar","family":"Iqbal","sequence":"first","affiliation":[{"name":"Mathematics and Natural Sciences, Prince Mohammad Bin Fahd University, 31952 Al Khobar, Saudi Arabia"},{"name":"School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia"}]},{"given":"Nur Nadiah","family":"Abd Hamid","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia"}]},{"given":"Ahmad Izani","family":"Md. Ismail","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1002\/cnm.872","article-title":"Symbolic computing in spline-based differential quadrature method","volume":"22","author":"Krowiak","year":"2006","journal-title":"Commun. Numer. Meth. 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