Publications
Published Research Papers:
Shivam Bajpeyi, Dhiraj Patel, and S. Sivananthan, Relevant sampling in reproducing kernel subspace of Orlicz spaces, Analysis and Applications (2024) (https://www.worldscientific.com/doi/10.1142/S021953052450012X)
Shivam Bajpeyi, Dhiraj Patel, and S. Sivananthan, Random sampling of Mellin band-limited signals, Numerical Functional Analysis and Optimization (2024) . (https://doi.org/10.1080/01630563.2024.2318576)
Shivam Bajpeyi, Order of Approximation for Exponential Sampling Type Neural Network Operators. Results in Mathematics 78, 99 (2023). (https://doi.org/10.1007/s00025-023-01879-6)
Sathish Kumar A., Prashant Kumar, and Shivam Bajpeyi, On Bivariate Kantorovich Exponential Sampling Series, Mathematical Methods in Applied Sciences, 46 (12) , 12645-12659 (2023).
Shivam Bajpeyi, Sathish Kumar A, On approximation by Kantorovich exponential sampling operators, Numerical Functional Analysis and Optimization. 42 (9), 1096-1113 (2021) .
Shivam Bajpeyi, Sathish Kumar, A., and Ilaria Mantellini, Approximation by Durrmeyer type exponential sampling operators., Numerical Functional Analysis and Optimization (2021). (doi.org/10.1080/01630563.2021.1980798)
Shivam Bajpeyi, Sathish Kumar A., Approximation by exponential type neural network operators, Analysis and Mathematical Physics. 11, 108 (2021).
Sathish Kumar A., Shivam Bajpeyi, Direct and inverse results for Kantorovich type exponential sampling series, Results in Mathematics. 75, 119 (2020).
Sathish Kumar A., Shivam Bajpeyi, Inverse approximation and GBS of bivariate Kantorovich type sampling series, Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matemáticas (RACSAM). 114, 82 (2020).
Papers in conference proceedings:
Shivam Bajpeyi and Sathish Kumar A., Max-product type exponential neural network operators, Mathematical Analysis and computing, Springer Proceedings in Mathematics and Statistics 344 (2021).
Sathish Kumar A. and Shivam Bajpeyi, Max-product type Kantorovich exponential sampling operators (Submitted to proceeding of ICMAC-2022).