Mathematical-Computational Optimization Methods on Primary Molecular Effect Model for Selected High Temperature Superconductors with Electronics Physics Applications

نویسندگان

چکیده

In previous series of contributions, Inverse Least Squares (ILS) Numerical Optimization, 3D/4D Interior Graphical Optimization software and algorithms-programming were presented. The BCS theory Isotope Effect applications on superconductors TC dual/multiobjective optimization was the main subject. This contribution deals with Molecular Model for High Temperature Superconductors (HTSCs), in primary hypothesis stages. Selected group HTSCs is Sn-Sb-Te-Ba-Mn-Cu-O . Namely, classical Squares, 2D techniques are applied. Results comprise Tikhonov Regularization algorithms mathematical methods this group. Mathematical-programming findings to optimize Type II presented ILS outcoming data Matlab GNU-Octave. Rulings present an new ‘Molecular Effect’ model/algorithm, intended be proven optimization, polynomial applied acceptable solutions. show accuracy low programming residuals that confirm these findings. Solutions two strands, modelling Effect, improved confidence intervals statistical images. Hypothesis Electronics Physics emerge from Modelling-hypothesis Superconductor Theory turn up numerical imaging obtained.

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ژورنال

عنوان ژورنال: International journal of scientific research in computer science, engineering and information technology

سال: 2022

ISSN: ['2456-3307']

DOI: https://doi.org/10.32628/cseit228220