About
Tapas Roy is a research scholar in the field of Computational and Applied Mathematics at Vidyasagar University, Midnapore, West Bengal, India. He received his bachelor's degree in Mathematics from the University of Burdwan and his master's degree in Mathematics from Bankura University. His research focuses on the development and application of semi-analytical methods, including the Homotopy Perturbation Method, Homotopy Analysis Method, and Variational Iteration Method, for solving highly nonlinear differential equations. His work also includes the direct analytical solution of the incompressible Navier–Stokes equations in fluid mechanics without employing any simplifying assumptions or reduction.
Employment
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Vidyasagar University Senior Research Scholar2021 - Present
Education
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Vidyasagar University Ph.D2021 - Present
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Bankura University M.Sc2018 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Refined Optimal and Modified-Homotopy Perturbation Method for Direct Solution of Incompressible Navier-Stokes Equations with Pressure Correction Save
- Single/multi step optimal and modified homotopy perturbation method for strongly non-linear fractional initial value problems: Global series solution Save
- Advances in Overcoming Methodological Limitations of HAM and HPM: OM-HPM Save
- Refined variational iteration method through optimal linear operator and Lagrange multiplier: Local/global convergence Save
- Pendulum attached to a vibrating point: Semi-analytical solution by optimal and modified homotopy perturbation method Save
- ORIGIN OF POSITION DEPENDENT MASS IN A ROTATING PARABOLIC OR SEMI-PARABOLIC PATH: CLASSICAL AND SEMI-CLASSICAL Save
- Time Dependent Harmonic Oscillator via OM-HPM Save
- General approach on the best fitted linear operator and basis function for homotopy methods and application to strongly nonlinear oscillators Save
- Nonlinear oscillators dynamics using optimal and modified homotopy perturbation method Save
- An optimal and modified homotopy perturbation method for strongly nonlinear differential equations Save