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Eisenberg-Nagy, Marianna and Varga, Anita (2024) A New Ai–Zhang Type Interior Point Algorithm for Sufficient Linear Complementarity Problems. Journal of Optimization Theory and Applications, 202 (1). pp. 76-107. DOI 10.1007/s10957-022-02121-z

E. Nagy, Marianna and Varga, Anita (2024) A long-step interior point framework and a related function class for linear optimization. Working Paper. Corvinus University of Budapest, Budapest.

E. Nagy, Marianna and Varga, Anita (2022) A new Ai-Zhang type interior point algorithm for sufficient linear complementarity problems. Working Paper. Corvinus University of Budapest, Budapest.

E. Nagy, Marianna and Varga, Anita (2021) A new long-step interior point algorithm for linear programming based on the algebraic equivalent transformation. Working Paper. Corvinus University of Budapest, Budapest.

Eisenberg-Nagy, Marianna ORCID: https://orcid.org/0000-0003-3688-412X and Varga, Anita (2023) A new long-step interior point algorithm for linear programming based on the algebraic equivalent transformation. Central European Journal of Operations Research, 31 (3). pp. 691-711. DOI 10.1007/s10100-022-00812-6

Darvay, Zsolt and E. Nagy, Marianna and Lesaja, Goran and Rigó, Petra Renáta and Varga, Anita (2024) Comprehensive Analysis of Kernel-Based Interior-Point Methods for P_* (κ) - LCP. Working Paper. Corvinus University of Budapest, Budapest.

Eisenberg-Nagy, Marianna ORCID: https://orcid.org/0000-0003-3688-412X, Illés, Tibor, Povh, J., Varga, Anita and Žerovnik, J. (2024) Sufficient Matrices : Properties, Generating and Testing. Journal of Optimization Theory and Applications, 202 (1). pp. 204-236. DOI 10.1007/s10957-023-02280-7