Rupaj Kumar Nayak

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 8

Top Topics

Quadratic Program

Conjugate Gradient Method

Additional Features

Top Venues

J. Comb. Optim.

Int. J. Math. Model. Numer. Optimisation

Ann. Oper. Res.

Publications

Yash Pratyush Sinha, Pranshu Malviya, Rupaj Kumar Nayak
Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper. CoRR (2021)
V. N. Aditya Datta Chivukula, Rupaj Kumar Nayak
The impact of the additional features on the performance of regression analysis: a case study on regression analysis of music signal. CoRR (2021)
Nirmalya Kumar Mohanty, Rupaj Kumar Nayak
A survey on update parameters of nonlinear conjugate gradient methods. Int. J. Math. Model. Numer. Optimisation 11 (3) (2021)
Rupaj Kumar Nayak, Nirmalya Kumar Mohanty
Solution of boolean quadratic programming problems by two augmented Lagrangian algorithms based on a continuous relaxation. J. Comb. Optim. 39 (3) (2020)
Nirmalya Kumar Mohanty, Rupaj Kumar Nayak
A new efficient hybrid conjugate gradient method based on LS-DY-HS conjugate gradient parameter. Int. J. Math. Model. Numer. Optimisation 10 (4) (2020)
Rupaj Kumar Nayak, Nirmalya Kumar Mohanty
Improved row-by-row method for binary quadratic optimization problems. Ann. Oper. Res. 275 (2) (2019)
Rupaj Kumar Nayak, Mahendra Prasad Biswal
A low complexity semidefinite relaxation for large-scale MIMO detection. J. Comb. Optim. 35 (2) (2018)
Rupaj Kumar Nayak, Jitamitra Desai
A modified homogeneous potential reduction algorithm for solving the monotone semidefinite linear complementarity problem. Optim. Lett. 10 (7) (2016)
Rupaj Kumar Nayak, Mahendra Prasad Biswal, S. Padhy
Modification of Karmarkar's projective scaling algorithm. Appl. Math. Comput. 216 (1) (2010)