Strong duality conditions in semidefinite programming M Trnovska Journal of Electrical Engineering 56 (12), 1-5, 2005 | 56 | 2005 |
Approximate D-optimal designs of experiments on the convex hull of a finite set of information matrices R Harman, M Trnovská Mathematica Slovaca 59 (6), 693-704, 2009 | 36 | 2009 |
The Russell measure model: Computational aspects, duality, and profit efficiency M Halická, M Trnovská European journal of operational research 268 (1), 386-397, 2018 | 35 | 2018 |
Duality and profit efficiency for the hyperbolic measure model M Halická, M Trnovská European Journal of Operational Research 278 (2), 410-421, 2019 | 16 | 2019 |
Computing maximin efficient experimental designs using the methods of semidefinite programming L Filová, M Trnovská, R Harman Metrika 75 (5), 709-719, 2012 | 16 | 2012 |
A unified approach to non-radial graph models in data envelopment analysis: common features, geometry, and duality M Halická, M Trnovská European Journal of Operational Research 289 (2), 611-627, 2021 | 13 | 2021 |
Robust portfolio optimization via solution to the Hamilton–Jacobi–Bellman equation S Kilianová, M Trnovská International Journal of Computer Mathematics 93 (5), 725-734, 2016 | 12 | 2016 |
Negative features of hyperbolic and directional distance models for technologies with undesirable outputs M Halická, M Trnovská Central European Journal of Operations Research 26 (4), 887-907, 2018 | 7 | 2018 |
Solution to the inverse Wulff problem by means of the enhanced semidefinite relaxation method D Ševčovič, M Trnovská Journal of Inverse and Ill-posed Problems 23 (3), 263-285, 2015 | 7 | 2015 |
Limiting behaviour and analyticity of weighted central paths in semidefinite programming M Halická, M Trnovská Optimization Methods & Software 25 (2), 247-262, 2010 | 6 | 2010 |
A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis M Halická, M Trnovská, A Černý European Journal of Operational Research 312 (1), 298-314, 2024 | 4 | 2024 |
Constructing optimal designs on finite experimental domains using methods of mathematical programming R Harman, T Jurík, M Trnovská 8th International Workshop in Model-Oriented Design and Analysis MODA8, 2007 | 2 | 2007 |
Existence of weighted interior-point paths in semidefinite programming M Trnovská Mathematical Methods in Economics and Industry, Mathematical Methods in …, 2007 | 2 | 2007 |
Solving constrained Procrustes problems: a conic optimization approach T Fulová, M Trnovská arXiv preprint arXiv:2304.14961, 2023 | 1 | 2023 |
Application of the Enhanced Semidefinite Relaxation Method to Construction of the Optimal Anisotropy Function D Ševčovič, M Trnovská IAENG International Journal of Applied Mathematics 45 (3), 227-234, 2015 | 1* | 2015 |
Computing maximin efficient designs using the methods of semidefinite programming L Filová, M Trnovská Tech. report, Comenius University, Bratislava, Slovakia, 2010 | 1 | 2010 |
Lagrangian duality in convex conic programming with simple proofs M Trnovska, J Hrdina Operations Research Forum 4 (4), 97, 2023 | | 2023 |
On indication, strict monotonicity, and efficiency of projections in a general class of path-based data envelopment models M Halická, M Trnovská, A Černý arXiv preprint arXiv:2311.16382, 2023 | | 2023 |
A unified approach to radial, hyperbolic, and directional distance models in Data Envelopment Analysis M Halická, M Trnovská, A Černý Hyperbolic, and Directional Distance Models in Data Envelopment Analysis …, 2022 | | 2022 |
A unified approach to radial, hyperbolic, and directional distance models in Data Envelopment Analysis A Černý, M Halická, M Trnovská arXiv e-prints, arXiv: 2210.03687, 2022 | | 2022 |