Anil Sharma

Dr. Anil Sharma

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 December 2016 in Mediterranean Journal of Mathematics
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Journal Article
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SSS. K. Srivastava
S. K. Srivastava
ASAnil Sharma
Anil Sharma

30 April 2022 in Asian-European Journal of Mathematics
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Journal Article
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AKAnuj Kumar
Anuj Kumar
ASAnil Sharma
Anil Sharma


1 April 2023 in Journal of Mathematical Sciences
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Journal Article
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AKAnuj Kumar
Anuj Kumar
ASAnil Sharma
Anil Sharma
The present article deals with the study of generalized curvature equality and inequality. We first derive equality involving mean curvature vector and second fundamental form for sequential warped product submanifolds of a nearly Kähler manifold and then present Lawson-Simons type inequality (Lawson and Simons, Ann. of Math. 98:427–450, 1973) in generalized complex space form that extends the result derived by Sahin in Sahin (Period Math. Hung., 2021). Meanwhile, some special cases and a numerical example in support of inequality are also discussed.

28 December 2018 in Arabian Journal of Mathematics
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Journal Article
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ASAnil Sharma
Anil Sharma
AUAlghamdi Uddin
Alghamdi Uddin
SSS. K. Srivastava
S. K. Srivastava
In the present paper, we prove that there does not exist any \(\mathcal {P}\mathcal {R}\)-semi-slant warped product submanifolds in paracosymplectic manifolds. In addition, by presenting a non-trivial example we find that there is no proper \(\mathcal {P}\mathcal {R}\)-semi-slant warped product submanifold other than \(\mathcal {P}\mathcal {R}\)-semi-invariant warped products.

18 October 2024 in Mathematics
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Journal Article
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RLRam Kishun Lodhi
Ram Kishun Lodhi
MDMoustafa S. Darweesh
Moustafa S. Darweesh
Aydi AbdelkarimAydi Abdelkarim
Aydi Abdelkarim
Lioua KolsiLioua Kolsi
Lioua Kolsi
ASAnil Sharma
Anil Sharma
Katta RameshKatta Ramesh
Katta Ramesh
This research presents an efficient and highly accurate cubic B-spline method (CBSM) for solving second-order linear boundary value problems (BVPs). The method achieves sixth-order convergence, supported by rigorous error analysis, ensuring rapid error reduction with mesh refinement. The effectiveness of the CBSM is validated through four numerical examples, showcasing its accuracy, reliability, and computational efficiency, making it well-suited for large-scale problems. A comparative analysis with existing methods confirms the superior performance of the CBSM, positioning it as a practical and powerful tool for solving second-order BVPs.