2011
DOI: 10.1016/j.amc.2010.11.016
|View full text |Cite
|
Sign up to set email alerts
|

A weighted bivariate blending rational interpolation based on function values

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2011
2011
2020
2020

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(12 citation statements)
references
References 11 publications
0
12
0
Order By: Relevance
“…(2.10) is called the barycentric coordinates transformation of P, is also called the barycentric coordinates expression as introduced in [5]. Obviously, this kind of expression is unique.…”
Section: Bivariate B-net Of the Interpolating Polynomialmentioning
confidence: 98%
See 2 more Smart Citations
“…(2.10) is called the barycentric coordinates transformation of P, is also called the barycentric coordinates expression as introduced in [5]. Obviously, this kind of expression is unique.…”
Section: Bivariate B-net Of the Interpolating Polynomialmentioning
confidence: 98%
“…Many authors have contributed valuable insights into the mathematical topics in terms of the bivariate B-net method in [5], and [12], among which is the novel result on the equivalence of the smoothness conditions obtained by the conformality method of smoothing cofactor and the B-net one for any given simplex partition, respectively in [12].…”
Section: ð2:13þmentioning
confidence: 99%
See 1 more Smart Citation
“…ese methods are used, for instance, for shaping the outer hull of aircraft and a ship [28]. However, the disadvantage of polynomial interpolation lies in its global property, that is, it is difficult to control the local constraint of a given interpolation point under the condition that the values of the interpolant points are fixed [29,30]. To construct the polynomial spline, the derivative values of the interpolating data are required additionally to the function values.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many scholars have studied parametric spline interpolation. Zhang et al [29,30] proposed new types of weighted blending spline interpolation. By selecting appropriate parameters and different coefficients, the value of the spline interpolation function can be modified at any point in the interpolant interval, under the condition that the values of the interpolant points are fixed, so that the geometric surfaces can be adjusted.…”
Section: Introductionmentioning
confidence: 99%