Milan Hladík
Orcid: 0000-0002-7340-8491
According to our database1,
Milan Hladík
authored at least 128 papers
between 2007 and 2024.
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Bibliography
2024
Ann. Oper. Res., September, 2024
Ann. Oper. Res., August, 2024
Characterization of unique solvability of absolute value equations: an overview, extensions, and future directions.
Optim. Lett., May, 2024
Erratum: Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes.
SIAM J. Matrix Anal. Appl., 2024
Optim. Methods Softw., 2024
Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection.
Expert Syst. Appl., 2024
Eng. Appl. Artif. Intell., 2024
Comput. Electr. Eng., 2024
2023
Quantifying Outcome Functions of Linear Programs: An Approach Based on Interval-Valued Right-Hand Sides.
J. Optim. Theory Appl., December, 2023
Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space.
Comput. Oper. Res., December, 2023
Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection.
Neural Networks, September, 2023
Various approaches to multiobjective linear programming problems with interval costs and interval weights.
Central Eur. J. Oper. Res., September, 2023
A lagrangian-based approach for universum twin bounded support vector machine with its applications.
Ann. Math. Artif. Intell., June, 2023
Soft Comput., May, 2023
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes.
SIAM J. Matrix Anal. Appl., March, 2023
Math. Program., March, 2023
New pruning tests for the branch-and-prune framework for interval parametric linear systems.
Soft Comput., 2023
Optim. Lett., 2023
Inverse free reduced universum twin support vector machine for imbalanced data classification.
Neural Networks, 2023
2022
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm.
Appl. Intell., 2022
Ann. Math. Artif. Intell., 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
2021
Optim. Lett., 2021
A new polynomially solvable class of quadratic optimization problems with box constraints.
Optim. Lett., 2021
On preconditioning and solving an extended class of interval parametric linear systems.
Numer. Algorithms, 2021
J. Optim. Theory Appl., 2021
J. Glob. Optim., 2021
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification.
CoRR, 2021
CoRR, 2021
Stability of the linear complementarity problem properties under interval uncertainty.
Central Eur. J. Oper. Res., 2021
Computing the spectral decomposition of interval matrices and a study on interval matrix powers.
Appl. Math. Comput., 2021
The Horizontal Linear Complementarity Problem and Robustness of the Related Matrix Classes.
Proceedings of the Optimization and Learning - 4th International Conference, 2021
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021
2020
Obtaining Efficient Solutions of Interval Multi-objective Linear Programming Problems.
Int. J. Fuzzy Syst., 2020
On unbounded directions of linear interval parametric systems and their extensions to AE solutions.
CoRR, 2020
Optimal value bounds in interval fractional linear programming and revenue efficiency measuring.
Central Eur. J. Oper. Res., 2020
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2020
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2020
Two Approaches to Inner Estimations of the Optimal Solution Set in Interval Linear Programming.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020
Proceedings of the Decision Making under Constraints, 2020
2019
Soft Comput., 2019
Testing weak optimality of a given solution in interval linear programming revisited: NP-hardness proof, algorithm and some polynomially-solvable cases.
Optim. Lett., 2019
Direct and iterative methods for interval parametric algebraic systems producing parametric solutions.
Numer. Linear Algebra Appl., 2019
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019
Enclosing the solution set of the parametric generalised Sylvester matrix equation A(p)XB(p) + C(p)XD(p) = F(p).
Int. J. Syst. Sci., 2019
Expert Syst. Appl., 2019
Computing the spectral decomposition of interval matrices and a study on interval matrix power.
CoRR, 2019
Comput. Optim. Appl., 2019
Interval linear programming under transformations: optimal solutions and optimal value range.
Central Eur. J. Oper. Res., 2019
Maximization of a Convex Quadratic Form on a Polytope: Factorization and the Chebyshev Norm Bounds.
Proceedings of the Optimization of Complex Systems: Theory, 2019
Proceedings of the Parallel Processing and Applied Mathematics, 2019
2018
Possibilistic linear regression with fuzzy data: Tolerance approach with prior information.
Fuzzy Sets Syst., 2018
Regularity radius: Properties, approximation and a not a priori exponential algorithm.
CoRR, 2018
Comput. Biol. Medicine, 2018
2017
Numer. Algorithms, 2017
A Sign Function Approach to Solve Algebraically Interval System of Linear Equations for Nonnegative Solutions.
Fundam. Informaticae, 2017
CoRR, 2017
Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix.
CoRR, 2017
Central Eur. J. Oper. Res., 2017
Solving over-constrained systems of non-linear interval equations - And its robotic application.
Appl. Math. Comput., 2017
Proceedings of the Parallel Processing and Applied Mathematics, 2017
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
2016
J. Glob. Optim., 2016
Using modified maximum regret for finding a necessarily efficient solution in an interval MOLP problem.
Fuzzy Optim. Decis. Mak., 2016
Robust optimal solutions in interval linear programming with forall-exists quantifiers.
Eur. J. Oper. Res., 2016
Sensitivity analysis of linear programming in the presence of correlation among right-hand side parameters or objective function coefficients.
Central Eur. J. Oper. Res., 2016
Inverse optimization: towards the optimal parameter set of inverse LP with interval coefficients.
Central Eur. J. Oper. Res., 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
J. Glob. Optim., 2015
Efficient Approaches for Enclosing the United Solution Set of the Interval Generalized Sylvester Matrix Equation.
CoRR, 2015
Appl. Math. Comput., 2015
Selection-based Approach to Cooperative Interval Games.
Proceedings of the ICORES 2015, 2015
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the BICT 2015, 2015
Proceedings of the Computer Poker and Imperfect Information, 2015
2014
Interval Linear Programming Techniques in Constraint Programming and Global Optimization.
Proceedings of the Constraint Programming and Decision Making, 2014
IEEE Trans. Cybern., 2014
SIAM J. Numer. Anal., 2014
Optim. Lett., 2014
Efficient Solution of a Class of Quantified Constraints with Quantifier Prefix Exists-Forall.
Math. Comput. Sci., 2014
The complexity of computation and approximation of the t-ratio over one-dimensional interval data.
Comput. Stat. Data Anal., 2014
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014
Proceedings of the Scientific Computing, Computer Arithmetic, and Validated Numerics, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Reliab. Comput., 2013
On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data.
Inf. Sci., 2013
Eur. J. Oper. Res., 2013
Appl. Math. Comput., 2013
Subsquares Approach - A Simple Scheme for Solving Overdetermined Interval Linear Systems.
Proceedings of the Parallel Processing and Applied Mathematics, 2013
Proceedings of the Parallel Processing and Applied Mathematics, 2013
2012
Complexity of necessary efficiency in interval linear programming and multiobjective linear programming.
Optim. Lett., 2012
Comput. Optim. Appl., 2012
Int. J. Appl. Math. Comput. Sci., 2012
2011
Optim. Methods Softw., 2011
J. Comput. Appl. Math., 2011
Comput. Math. Appl., 2011
2010
SIAM J. Matrix Anal. Appl., 2010
Eur. J. Oper. Res., 2010
Eur. J. Oper. Res., 2010
2009
2008
SIAM J. Matrix Anal. Appl., 2008
Oper. Res. Lett., 2008
Optim. Methods Softw., 2008
2007
Solution Set Characterization of Linear Interval Systems with a Specific Dependence Structure.
Reliab. Comput., 2007