Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
Joint Authors
Wang, Jianjun
Guo, Haifeng
Duan, Shukai
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-21
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We first give the unboundedness of multivariate Baskakov operators with the normal weighted norm.
By introducing new norms, using the multivariate decomposition technique and the modulus of smoothness with Jacobi weight, the upper bound estimation of multivariate Baskakov operators is obtained.
The obtained results not only generalize the corresponding ones for multivariate Baskakov operators without weights, but also give the approximation accuracy with the Jacobi weights approximation.
American Psychological Association (APA)
Wang, Jianjun& Guo, Haifeng& Duan, Shukai. 2013. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1006356
Modern Language Association (MLA)
Wang, Jianjun…[et al.]. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1006356
American Medical Association (AMA)
Wang, Jianjun& Guo, Haifeng& Duan, Shukai. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1006356
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1006356