Modification of Karmarkar's projective scaling algorithm. - Rupaj Kumar Nayak; Mahendra Prasad Biswal; S. Padhy (Appl. Math. Comput., 2010)

A modified homogeneous potential reduction algorithm for solving the monotone semidefinite linear complementarity problem. - Rupaj Kumar Nayak; Jitamitra Desai (Optim. Lett., 2016)

A low complexity semidefinite relaxation for large-scale MIMO detection. - Rupaj Kumar Nayak; Mahendra Prasad Biswal (J. Comb. Optim., 2018)

Improved row-by-row method for binary quadratic optimization problems. - Rupaj Kumar Nayak; Nirmalya Kumar Mohanty (Ann. Oper. Res., 2019)

A new efficient hybrid conjugate gradient method based on LS-DY-HS conjugate gradient parameter. - Nirmalya Kumar Mohanty; Rupaj Kumar Nayak (Int. J. Math. Model. Numer. Optimisation, 2020)

Solution of boolean quadratic programming problems by two augmented Lagrangian algorithms based on a continuous relaxation. - Rupaj Kumar Nayak; Nirmalya Kumar Mohanty (J. Comb. Optim., 2020)

Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper. - Yash Pratyush Sinha; Pranshu Malviya; Rupaj Kumar Nayak (CoRR, 2021)

The impact of the additional features on the performance of regression analysis: a case study on regression analysis of music signal. - V. N. Aditya Datta Chivukula; Rupaj Kumar Nayak (CoRR, 2021)

A survey on update parameters of nonlinear conjugate gradient methods. - Nirmalya Kumar Mohanty; Rupaj Kumar Nayak (Int. J. Math. Model. Numer. Optimisation, 2021)