References in zbMATH (referenced in 45 articles , 1 standard article )

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  1. Heredia, Manolo Rodriguez; Oliveira, Aurelio Ribeiro Leite: A new proposal to improve the early iterations in the interior point method (2020)
  2. Asadi, Soodabeh; Mansouri, Hossein: A Mehrotra type predictor-corrector interior-point algorithm for linear programming (2019)
  3. Cui, Yiran; Morikuni, Keiichi; Tsuchiya, Takashi; Hayami, Ken: Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning (2019)
  4. Petra, Cosmin G.; Potra, Florian A.: A homogeneous model for monotone mixed horizontal linear complementarity problems (2019)
  5. Santos, Luiz-Rafael; Villas-Bôas, Fernando; Oliveira, Aurelio R. L.; Perin, Clovis: Optimized choice of parameters in interior-point methods for linear programming (2019)
  6. Velazco, Marta; Oliveira, Aurelio R. L.: Computing the splitting preconditioner for interior point method using an incomplete factorization approach (2018)
  7. Yang, Y.: Two computationally efficient polynomial-iteration infeasible interior-point algorithms for linear programming (2018)
  8. Toth, Csaba D. (ed.); Goodman, Jacob E. (ed.); O’Rourke, Joseph (ed.): Handbook of discrete and computational geometry (2017)
  9. Yang, Yaguang: CurveLP-A MATLAB implementation of an infeasible interior-point algorithm for linear programming (2017)
  10. Asadi, Alireza; Roos, Cornelis: Infeasible interior-point methods for linear optimization based on large neighborhood (2016)
  11. Bougnol, Marie-Laure; Dulá, Jose H.: The other side of ranking schemes: generating weights for specified outcomes (2016)
  12. Barbara, Abdessamad: Strict quasi-concavity and the differential barrier property of gauges in linear programming (2015)
  13. Bougnol, Marie-Laure; Dulá, José H.; Rouse, Paul: Interior point methods in DEA to determine non-zero multiplier weights (2012)
  14. Friedlander, M. P.; Orban, D.: A primal-dual regularized interior-point method for convex quadratic programs (2012)
  15. Ghidini, Carla T. L. S.; Oliveira, A. R. L.; Silva, Jair.; Velazco, M. I.: Combining a hybrid preconditioner and a optimal adjustment algorithm to accelerate the convergence of interior point methods (2012)
  16. Lubin, Miles; Petra, Cosmin G.; Anitescu, Mihai: The parallel solution of dense saddle-point linear systems arising in stochastic programming (2012)
  17. Mehrotra, Sanjay; Huang, Kuo-Ling: Computational experience with a modified potential reduction algorithm for linear programming (2012)
  18. Petra, Cosmin G.; Anitescu, Mihai: A preconditioning technique for Schur complement systems arising in stochastic optimization (2012)
  19. Zhang, Mingwang: A second order Mehrotra-type predictor-corrector algorithm for semidefinite optimization (2012)
  20. Baena, Daniel; Castro, Jordi: Using the analytic center in the feasibility pump (2011)

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