EconPapers    
Economics at your fingertips  
 

Effectiveness of the Chebyshev Approximation in Magnetic Field Line Tracking

Raffaele Albanese, Andrea Gaetano Chiariello (), Raffaele Fresa, Antonio Iaiunese, Raffaele Martone and Pasquale Zumbolo
Additional contact information
Raffaele Albanese: DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
Andrea Gaetano Chiariello: Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
Raffaele Fresa: Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
Antonio Iaiunese: DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
Raffaele Martone: Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
Pasquale Zumbolo: DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy

Energies, 2022, vol. 15, issue 20, 1-13

Abstract: The tracking of magnetic field lines can be very expensive, in terms of computational burden, when the field sources are numerous and have complex geometries, especially when accuracy is a priority, because an evaluation of the field is required in many situations. In some important applications, the computational cost can be significantly reduced by using a suitable approximation of the field in the integrated regions. This paper shows how Chebyshev polynomials are well-suited for field interpolation in magnetic field-line tracking, then discusses the conditions in which they are most appropriate, and quantifies the effectiveness of parallel computing in the approximation procedures.

Keywords: magnetic field tracking; field approximation; Chebyshev polynomials (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/20/7619/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/20/7619/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:20:p:7619-:d:943203

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7619-:d:943203