Rupaj Kumar Nayak

Orcid: 0000-0002-4163-4275

According to our database1, Rupaj Kumar Nayak authored at least 9 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
A survey on update parameters of nonlinear conjugate gradient methods.
Int. J. Math. Model. Numer. Optimisation, 2021

The impact of the additional features on the performance of regression analysis: a case study on regression analysis of music signal.
CoRR, 2021

Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper.
CoRR, 2021

2020
Solution of boolean quadratic programming problems by two augmented Lagrangian algorithms based on a continuous relaxation.
J. Comb. Optim., 2020

A new efficient hybrid conjugate gradient method based on LS-DY-HS conjugate gradient parameter.
Int. J. Math. Model. Numer. Optimisation, 2020

2019
Improved row-by-row method for binary quadratic optimization problems.
Ann. Oper. Res., 2019

2018
A low complexity semidefinite relaxation for large-scale MIMO detection.
J. Comb. Optim., 2018

2016
A modified homogeneous potential reduction algorithm for solving the monotone semidefinite linear complementarity problem.
Optim. Lett., 2016

2010
Modification of Karmarkar's projective scaling algorithm.
Appl. Math. Comput., 2010


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