On a class of Bézier-like model for shape-preserving approximation

Iranian Journal of Numerical Analysis and Optimization

مقاله 10، دوره 12، شماره 2 - شماره پیاپی 22، آذر 2022، صفحه 449-466   

نوع مقاله: Research Article

شناسه دیجیتال (DOI): 10.22067/ijnao.2022.72818.1064

نویسندگان

B. Nouri؛ J. Saeidian^*

Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran.

چکیده

A class of Bernstein-like basis functions, equipped with a shape param-eter, is presented. Employing the introduced basis functions, the corre-sponding curve and surface in rectangular patches are defined based on some control points. It is verified that the new curve and surface have most properties of the classical Bézier curves and surfaces. The shape parameter helps to adjust the shape of the curve and surface while the control points are fixed. We prove that the proposed Bézier-like curves can preserve monotonicity and that Bézier-like surfaces can preserve axial monotonicity. Moreover, the presented curves and surfaces preserve bound constraints implied by the original data.

کلیدواژه‌ها

Blending functions؛ Bézier curve؛ Shape adjustment؛ Mono-tonicity preservation؛ Shape-preserving؛ Boundedness

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