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

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第一作者： Muhammad Asif Zahoor,Raja

第一单位： Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock, Pakistan.

作者： Muhammad Asif Zahoor,Raja ^[1] ; Aneela,Zameer ^[2] ; Aziz Ullah,Khan ^[3] ; Abdul Majid,Wazwaz ^[4]

作者单位： Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock, Pakistan. ^[1] Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, 45650 Pakistan. ^[2] Department of Basic Sciences, Riphah International University, Islamabad, Pakistan. ^[3] Department of Mathematics, Saint Xavier University, Chicago, IL 60655 USA. ^[4]

关键词 Atomic physics Bio-inspired heuristics Genetic algorithm Nonlinear singular systems Sequential quadratic programming Thomas–Fermi model

DOI 10.1186/s40064-016-3093-5

PMID 27610319

发布时间 2020-09-29

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

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

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