A new numerical approach to solve Thomas-Fermi model of an atom using bio-inspired heuristics integrated with sequential quadratic programming.

Raja, Muhammad Asif Zahoor; Zameer, Aneela; Khan, Aziz Ullah; Wazwaz, Abdul Majid

Raja, Muhammad Asif Zahoor; Zameer, Aneela; Khan, Aziz Ullah; Wazwaz, Abdul Majid.

Afiliación

Raja MA; Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock, Pakistan.
Zameer A; Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, 45650 Pakistan.
Khan AU; Department of Basic Sciences, Riphah International University, Islamabad, Pakistan.
Wazwaz AM; Department of Mathematics, Saint Xavier University, Chicago, IL 60655 USA.

Springerplus ; 5(1): 1400, 2016.

Article en En | MEDLINE | ID: mdl-27610319

Palabras clave

Atomic physics; Bio-inspired heuristics; Genetic algorithm; Nonlinear singular systems; Sequential quadratic programming; ThomasFermi model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Springerplus Año: 2016 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Suiza

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