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ORCIDAmbit Kumar Pany
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2020 – today
- 2023
[j9]Soumyarani Mishra
, Morrakot Khebchareon, Ambit Kumar Pany:
Second order backward difference scheme combined with finite element method for a 2D Sobolev equation with Burgers' type non-linearity. Comput. Math. Appl. 141: 170-190 (2023)- 2022
- [j8]Morrakot Khebchareon, Ambit Kumar Pany, Amiya Kumar Pani:
An H1-Galerkin mixed finite element method for identification of time dependent parameters in parabolic problems. Appl. Math. Comput. 424: 127045 (2022) - [j7]Soumyarani Mishra, Ambit Kumar Pany:
Completely discrete schemes for 2D Sobolev equations with Burgers' type nonlinearity. Numer. Algorithms 90(3): 963-987 (2022) - 2021
- [j6]Ambit Kumar Pany, Morrakot Khebchareon, Amiya Kumar Pani:
Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems. Comput. Math. Appl. 99: 26-36 (2021) - [j5]P. Danumjaya, Ambit Kumar Pany, Amiya Kumar Pani:
Morley FEM for the fourth-order nonlinear reaction-diffusion problems. Comput. Math. Appl. 99: 229-245 (2021) - [i1]Ambit Kumar Pany, Morrakot Khebchareon, Amiya Kumar Pani:
Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems. CoRR abs/2108.01297 (2021) - 2020
- [j4]Ambit Kumar Pany, Saumya Bajpai, Soumyarani Mishra:
Finite element Galerkin method for 2D Sobolev equations with Burgers' type nonlinearity. Appl. Math. Comput. 387: 125113 (2020)
2010 – 2019
- 2019
- [j3]Saumya Bajpai, Ambit Kumar Pany:
A priori error estimates of fully discrete finite element Galerkin method for Kelvin-Voigt viscoelastic fluid flow model. Comput. Math. Appl. 78(12): 3872-3895 (2019) - 2018
- [j2]Ambit Kumar Pany:
Fully discrete second-order backward difference method for Kelvin-Voigt fluid flow model. Numer. Algorithms 78(4): 1061-1086 (2018) - 2016
- [j1]Ambit Kumar Pany, Saumya Bajpai, Amiya Kumar Pani:
Optimal error estimates for semidiscrete Galerkin approximations to equations of motion described by Kelvin-Voigt viscoelastic fluid flow model. J. Comput. Appl. Math. 302: 234-257 (2016)
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