Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kaustubh Dutta"'
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
We consider the recently introduced notion of ℐ-statistical convergence (Das, Savas and Ghosal, Appl. Math. Lett., 24(9) (2011), 1509–1514, Savas and Das, Appl. Math. Lett. 24(6) (2011), 826–830) in probabilistic normed spaces and in the follow
Externí odkaz:
https://doaj.org/article/c9aee27373b94d149c5307ba1a776d52
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Following the line of (Das et al., 2011, Savas and Das, 2011), we make a new approach in this paper to extend the notion of strong convergence and more general strong statistical convergence (Şençimen and Pehlivan, 2008) using ideals and introduce
Externí odkaz:
https://doaj.org/article/8eae45f5d79c44b18af7683bd9e18c52
Autor:
Kaustubh Dutta, Arpita Nayak
Publikováno v:
2017 International Conference on Intelligent Computing and Control (I2C2).
Blockchain is a technology that is based on Bitcoin cryptocurrency. It is a technology for decentralizing transaction and managing data. Immense research and deep thinking has gone into conceptualizing blockchain since the time it was first showcased
Autor:
Arpita Nayak, Kaustubh Dutta
Publikováno v:
2017 International Conference on Intelligent Computing and Control (I2C2).
With each passing day and gradually as we move into future, smart or intelligent machines will slowly replace and enhance human capabilities in many areas. The intelligence exhibited by machines or softwares are often termed as “Artificial Intellig
Publikováno v:
Abstr. Appl. Anal.
Abstract and Applied Analysis, Vol 2014 (2014)
Abstract and Applied Analysis, Vol 2014 (2014)
We consider the recently introduced notion ofℐ-statistical convergence (Das, Savas and Ghosal, Appl. Math. Lett., 24(9) (2011), 1509–1514, Savas and Das, Appl. Math. Lett. 24(6) (2011), 826–830) in probabilistic normed spaces and in the followi
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Abstr. Appl. Anal.
Abstr. Appl. Anal.
Following the line of (Das et al., 2011, Savas and Das, 2011), we make a new approach in this paper to extend the notion of strong convergence and more general strong statistical convergence (Şençimen and Pehlivan, 2008) using ideals and introduce