Computational Mechanics and Optimal Programming Paradigm
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Keywords

partial differential equations, objected oriented programming, creep curve, contact

How to Cite

Kráčalík, M. (2023). Computational Mechanics and Optimal Programming Paradigm. Information Technology Applications, 8(1), 69–74. Retrieved from https://www.itajournal.com/index.php/ita/article/view/61

Abstract

The aim of the paper is to find an optimal programming paradigm in context of the computational mechanics that is mainly focused on the numerical solution of the partial differential equations. Two paradigms - procedural and objected oriented (OOP) are compared along with a simple software development representing by a GUI. Objected oriented programming can be viewed as a good compromise among the time required for the production of the code and numerical tests procedures in the computational mechanics. Procedural programming can be suitable for a quick testing of the numerical solution of partial differential equation. If the project is extended, the code can be for reusability rebuild to classes in objected oriented programming. One computational example is shown in the paper and limitations of the selected programming paradigm are described.

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