2012
DOI: 10.1016/j.jat.2011.09.006
|View full text |Cite
|
Sign up to set email alerts
|

q-Blossoming: A new approach to algorithms and identities for q-Bernstein bases and q-Bézier curv

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 35 publications
(2 citation statements)
references
References 10 publications
0
2
0
Order By: Relevance
“…Based on the De Casteljau algorithm, Disibuyuk and Oruc [13] proposed rational Q-Bézier curves. Simeonov et al [14] deduced a recursive evaluation algorithm and an explicit subdivision procedure for Q-Bézier curves. Goldman et al [15] derived explicit formulas for the generating functions of the Q-Bernstein basis functions in terms of q-exponential functions and proved a variety of identities for the Q-Bernstein bases.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the De Casteljau algorithm, Disibuyuk and Oruc [13] proposed rational Q-Bézier curves. Simeonov et al [14] deduced a recursive evaluation algorithm and an explicit subdivision procedure for Q-Bézier curves. Goldman et al [15] derived explicit formulas for the generating functions of the Q-Bernstein basis functions in terms of q-exponential functions and proved a variety of identities for the Q-Bernstein bases.…”
Section: Introductionmentioning
confidence: 99%
“…Dişibüyük and Oruç [15, 16] defined the q generalization of rational Bernstein–Bézier curves and tensor product q -Bernstein–Bézier surfaces. Moreover, Simeonov et al [17] introduced a new variant of the blossom, the q blossom, which is specifically adapted to developing identities and algorithms for q -Bernstein bases and q -Bézier curves. In 2014, Han et al [18] proposed a generalization of q -analog Bézier curves with one shape parameter, and established degree evaluation and de Casteljau algorithms and some other properties.…”
Section: Introductionmentioning
confidence: 99%