Multiobjective Interior Optimization Computational Methods for Electronics BCS Superconductivity

Authors

  • Francisco Casesnoves  Independent Researcher Engineering-Physics-Software and Medical Bioengineering Devices IAAM (International Association of Advanced Materials) COE Tallinn University of Technology, Tallinn, Harjumaa, Estonia

DOI:

https://doi.org/10.32628/CSEIT206556

Keywords:

Interior Optimization (IO) Methods, Graphical Optimization, Systems of Nonlinear Equations, Electronics Superconductors.

Abstract

Interior Optimization (IO) software and algorithms-programming were primarily presented in previous articles [3,4]. The mathematical framework of this new method, [Casesnoves, 2018-2020], was also proven [3,4]. The links among Interior Optimization, Graphical Optimization [Casesnoves, 2016-7], and classical methods in Nonlinear Equations Systems were developed. This paper is focused on software engineering with mathematical methods implementation in Multiobjective Interior Optimization programming as a primary subject. Second subject is Electronics applications of software in the field of BCS Superconductivity. These applications not only constitute a proof of the method, but also an useful BCS electronics numerical framework. They comprise a series of new BCS Equation optimization for multiple Type I superconductors, based on previous research for other different Type I ones previously published [3,4]. A Dual Optimization for two superconductors is also simulated. Several deductions/findings in computational technique for Multiobjective IO are guessed. Results are acceptable with low errors and 3D imaging demonstrations of the Interior Optimization utility.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-10-30

Issue

Volume 6, Issue 5, September-October-2020

Section

Research Articles

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How to Cite

[1]
Francisco Casesnoves, " Multiobjective Interior Optimization Computational Methods for Electronics BCS Superconductivity" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 5, pp.280-293, September-October-2020. Available at doi : https://doi.org/10.32628/CSEIT206556