2001
DOI: 10.1590/s0100-73862001000300002
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Object-oriented Programming Applied to the Development of Structural Analysis and Optimization Software

Abstract: This paper presents the development of a two-dimensional interactive software environment for structural analysis and optimization based on object-oriented programming using the C++ language. The main feature of the software is the effective integration of several computational tools into graphical user interfaces implemented in the Windows-98 and Windows-NT operating systems. The interfaces simplify data specification in the simulation and optimization of two-dimensional linear elastic problems. NURBS have be… Show more

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Cited by 4 publications
(1 citation statement)
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“…This development era further led by coding practitioners to introduce various languages, all were classified within a single entity; object-oriented programming (OOP), suitable for building user interfaceswindows, buttons and menus [1]. The OOP language; C++ have been used to develop 2D and 3D interactive software environments for structural analysis by integrated computational approach into graphical user interfaces for Windows-98 and Windows-NT operating systems [2]. It also supports reusable interfaces, multithreading with better error-handling facilities, there by has been preferred to develop automation controllers, data processing, computational chemistry, physiology, biology, machine learning and statistical computing [3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…This development era further led by coding practitioners to introduce various languages, all were classified within a single entity; object-oriented programming (OOP), suitable for building user interfaceswindows, buttons and menus [1]. The OOP language; C++ have been used to develop 2D and 3D interactive software environments for structural analysis by integrated computational approach into graphical user interfaces for Windows-98 and Windows-NT operating systems [2]. It also supports reusable interfaces, multithreading with better error-handling facilities, there by has been preferred to develop automation controllers, data processing, computational chemistry, physiology, biology, machine learning and statistical computing [3][4][5].…”
Section: Introductionmentioning
confidence: 99%