Deepak Kumar

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2020 J jnl
A Family of Derivative Free Optimal Fourth Order Methods for Computing Multiple Roots.
Symmetry
Sunil Kumar, Deepak Kumar, Janak Raj Sharma, Lorentz Jäntschi
2020 J jnl
A Novel Family of Efficient Weighted-Newton Multiple Root Iterations.
Symmetry
Deepak Kumar, Janak Raj Sharma, Lorentz Jäntschi
2020 J jnl
An Optimal Fourth Order Derivative-Free Numerical Algorithm for Multiple Roots.
Symmetry
Sunil Kumar, Deepak Kumar, Janak Raj Sharma, Clemente Cesarano, Praveen Agarwal, Yu-Ming Chu
2020 J jnl
Generating Optimal Eighth Order Methods for Computing Multiple Roots.
Symmetry
Deepak Kumar, Sunil Kumar, Janak Raj Sharma, Matteo d'Amore
2020 J jnl
On a reduced cost derivative-free higher-order numerical algorithm for nonlinear systems.
Comput. Appl. Math.
Janak Raj Sharma, Deepak Kumar
2019 J jnl
An Efficient Class of Traub-Steffensen-Like Seventh Order Multiple-Root Solvers with Applications.
Symmetry
Janak Raj Sharma, Deepak Kumar, Ioannis K. Argyros
2019 J jnl
An Efficient Class of Traub-Steffensen-Type Methods for Computing Multiple Zeros.
Axioms
Deepak Kumar, Janak Raj Sharma, Clemente Cesarano
2019 J jnl
An Efficient Class of Weighted-Newton Multiple Root Solvers with Seventh Order Convergence.
Symmetry
Janak Raj Sharma, Deepak Kumar, Carlo Cattani
2019 J jnl
On a Reduced Cost Higher Order Traub-Steffensen-Like Method for Nonlinear Systems.
Symmetry
Janak Raj Sharma, Deepak Kumar, Lorentz Jäntschi
2019 J jnl
On a class of Efficient Higher order Newton-like Methods.
Math. Model. Anal.
Janak Raj Sharma, Deepak Kumar
2018 J jnl
A fast and efficient composite Newton-Chebyshev method for systems of nonlinear equations.
J. Complex.
Janak Raj Sharma, Deepak Kumar
2017 J jnl
Extending the Applicability of the MMN-HSS Method for Solving Systems of Nonlinear Equations under Generalized Conditions.
Algorithms
Ioannis K. Argyros, Janak Raj Sharma, Deepak Kumar