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2020 – today
- 2024
[j89]Panos M. Pardalos, Hossein Moosaei, Milan Hladík, M. Tanveer:
An introduction to robust data analysis and its applications. Ann. Oper. Res. 339(3): 1073-1075 (2024)- [j88]Martin Cerný, Jan Bok, David Hartman
, Milan Hladík:
Positivity and convexity in incomplete cooperative games. Ann. Oper. Res. 340(2): 785-809 (2024) - [j87]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j86]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík:
Multi-task twin support vector machine with Universum data. Eng. Appl. Artif. Intell. 132: 107951 (2024) - [j85]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík, Panos M. Pardalos:
Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection. Expert Syst. Appl. 248: 123378 (2024) - [j84]Shubham Kumar, Deepmala, Milan Hladík, Hossein Moosaei:
Characterization of unique solvability of absolute value equations: an overview, extensions, and future directions. Optim. Lett. 18(4): 889-907 (2024) - [j83]Milan Hladík:
Erratum: Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes. SIAM J. Matrix Anal. Appl. 45(2): 1215 (2024) - [e1]Hossein Moosaei, Milan Hladík, Panos M. Pardalos:
Dynamics of Information Systems - 6th International Conference, DIS 2023, Prague, Czech Republic, September 3-6, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14321, Springer 2024, ISBN 978-3-031-50319-1 [contents] - 2023
- [j82]Hossein Moosaei, Milan Hladík:
A lagrangian-based approach for universum twin bounded support vector machine with its applications. Ann. Math. Artif. Intell. 91(2-3): 109-131 (2023) - [j81]Milan Hladík:
Various approaches to multiobjective linear programming problems with interval costs and interval weights. Central Eur. J. Oper. Res. 31(3): 713-731 (2023) - [j80]Hossein Moosaei, Milan Hladík, Mohamad Razzaghi, Saeed Ketabchi:
Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space. Comput. Oper. Res. 160: 106370 (2023) - [j79]Mohsen Mohammadi, Monica Gentili, Milan Hladík, Raffaele Cerulli:
Quantifying Outcome Functions of Linear Programs: An Approach Based on Interval-Valued Right-Hand Sides. J. Optim. Theory Appl. 199(3): 955-992 (2023) - [j78]Moslem Zamani, Milan Hladík:
Error bounds and a condition number for the absolute value equations. Math. Program. 198(1): 85-113 (2023) - [j77]Hossein Moosaei, M. A. Ganaie, Milan Hladík, Muhammad Tanveer:
Inverse free reduced universum twin support vector machine for imbalanced data classification. Neural Networks 157: 125-135 (2023) - [j76]Hossein Moosaei, Milan Hladík:
Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection. Neural Networks 166: 471-486 (2023) - [j75]Milan Hladík, Hossein Moosaei:
Some notes on the solvability conditions for absolute value equations. Optim. Lett. 17(1): 211-218 (2023) - [j74]Milan Hladík:
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes. SIAM J. Matrix Anal. Appl. 44(1): 175-195 (2023) - [j73]Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse L1-norm quadratic surface support vector machine with Universum data. Soft Comput. 27(9): 5567-5586 (2023) - [j72]Miroslav Rada, Elif Garajová, Jaroslav Horácek, Milan Hladík:
New pruning tests for the branch-and-prune framework for interval parametric linear systems. Soft Comput. 27(18): 12897-12912 (2023) - [i24]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i23]Milan Hladík, David Hartman:
Absolute value linear programming. CoRR abs/2307.03510 (2023) - 2022
- [j71]Hossein Moosaei, Milan Hladík:
Least squares approach to K-SVCR multi-class classification with its applications. Ann. Math. Artif. Intell. 90(7-9): 873-892 (2022) - [j70]Hossein Moosaei, Fatemeh Bazikar, Saeed Ketabchi, Milan Hladík:
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm. Appl. Intell. 52(3): 2634-2654 (2022) - [c23]Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík:
Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function. LION 2022: 27-39 - [c22]Hossein Moosaei, Milan Hladík:
Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model. LION 2022: 136-144 - [i22]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík:
Multi-task twin support vector machine with Universum data. CoRR abs/2206.10978 (2022) - [i21]Milan Hladík:
Properties of the solution set of absolute value equations and the related matrix classes. CoRR abs/2209.06457 (2022) - 2021
- [j69]David Hartman, Milan Hladík, David Ríha:
Computing the spectral decomposition of interval matrices and a study on interval matrix powers. Appl. Math. Comput. 403: 126174 (2021) - [j68]Milan Hladík:
Stability of the linear complementarity problem properties under interval uncertainty. Central Eur. J. Oper. Res. 29(3): 875-889 (2021) - [j67]Milan Hladík, Lubomir V. Kolev, Iwona Skalna:
Linear interval parametric approach to testing pseudoconvexity. J. Glob. Optim. 79(2): 351-368 (2021) - [j66]Hossein Moosaei, Saeed Ketabchi, Milan Hladík:
Optimal correction of the absolute value equations. J. Glob. Optim. 79(3): 645-667 (2021) - [j65]Hossein Moosaei, Milan Hladík:
On the Optimal Correction of Infeasible Systems of Linear Inequalities. J. Optim. Theory Appl. 190(1): 32-55 (2021) - [j64]Iwona Skalna, Milan Hladík:
On preconditioning and solving an extended class of interval parametric linear systems. Numer. Algorithms 87(4): 1535-1562 (2021) - [j63]Moslem Zamani, Milan Hladík:
A new concave minimization algorithm for the absolute value equation solution. Optim. Lett. 15(6): 2241-2254 (2021) - [j62]Milan Hladík, Michal Cerný, Miroslav Rada:
A new polynomially solvable class of quadratic optimization problems with box constraints. Optim. Lett. 15(6): 2331-2341 (2021) - [j61]Milan Hladík, David Hartman, Moslem Zamani:
Maximization of a PSD quadratic form and factorization. Optim. Lett. 15(7): 2515-2528 (2021) - [j60]Saeed Ketabchi, Hossein Moosaei, Milan Hladík:
On the minimum-norm solution of convex quadratic programming. RAIRO Oper. Res. 55(1): 247-260 (2021) - [c21]Hossein Moosaei, Milan Hladík:
Inverse Free Universum Twin Support Vector Machine. LION 2021: 252-264 - [c20]Milan Hladík, Miroslav Rada:
The Horizontal Linear Complementarity Problem and Robustness of the Related Matrix Classes. OLA 2021: 350-360 - [i20]Joshua K. Pickard, Vincent Padois, Milan Hladík, David Daney:
Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities. CoRR abs/2104.00279 (2021) - [i19]Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification. CoRR abs/2104.01331 (2021) - 2020
- [j59]Amin Mostafaee, Milan Hladík:
Optimal value bounds in interval fractional linear programming and revenue efficiency measuring. Central Eur. J. Oper. Res. 28(3): 963-981 (2020) - [j58]Aida Batamiz, Mehdi Allahdadi, Milan Hladík:
Obtaining Efficient Solutions of Interval Multi-objective Linear Programming Problems. Int. J. Fuzzy Syst. 22(3): 873-890 (2020) - [j57]Jana Novotná, Milan Hladík, Tomás Masarík:
Duality Gap in Interval Linear Programming. J. Optim. Theory Appl. 184(2): 565-580 (2020) - [c19]Milan Hladík:
Two Approaches to Inner Estimations of the Optimal Solution Set in Interval Linear Programming. ISMSI 2020: 99-104 - [c18]Elif Garajová, Miroslav Rada, Milan Hladík:
Outcome Range Problem in Interval Linear Programming: An Exact Approach. IUKM 2020: 3-14 - [c17]Milan Hladík, Martin Cerný:
Weak and Strong Consistency of an Interval Comparison Matrix. IUKM 2020: 15-25 - [c16]Hossein Moosaei, Milan Hladík:
Least Squares K-SVCR Multi-class Classification. LION 2020: 117-127 - [p2]Milan Hladík:
P-Completeness of Testing Solutions of Parametric Interval Linear Systems. Decision Making under Constraints 2020: 117-123 - [i18]Milan Hladík:
On unbounded directions of linear interval parametric systems and their extensions to AE solutions. CoRR abs/2002.07661 (2020) - [i17]Iwona Skalna, Milan Hladík:
On preconditioning and solving an extended class of interval parametric linear systems. CoRR abs/2004.09209 (2020) - [i16]Jan Bok, Martin Cerný, David Hartman, Milan Hladík:
Convexity and positivity in partially defined cooperative games. CoRR abs/2010.08578 (2020)
2010 – 2019
- 2019
- [j56]Elif Garajová, Milan Hladík, Miroslav Rada:
Interval linear programming under transformations: optimal solutions and optimal value range. Central Eur. J. Oper. Res. 27(3): 601-614 (2019) - [j55]Elif Garajová, Milan Hladík:
On the optimal solution set in interval linear programming. Comput. Optim. Appl. 72(1): 269-292 (2019) - [j54]Milan Hladík:
Universal efficiency scores in data envelopment analysis based on a robust approach. Expert Syst. Appl. 122: 242-252 (2019) - [j53]Marzieh Dehghani-Madiseh, Milan Hladík:
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. 50(11): 2153-2167 (2019) - [j52]Milan Hladík:
Support Set Invariancy for Interval Bimatrix Games. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(2): 225-237 (2019) - [j51]Iwona Skalna, Milan Hladík:
Direct and iterative methods for interval parametric algebraic systems producing parametric solutions. Numer. Linear Algebra Appl. 26(3) (2019) - [j50]Miroslav Rada, Milan Hladík, Elif Garajová:
Testing weak optimality of a given solution in interval linear programming revisited: NP-hardness proof, algorithm and some polynomially-solvable cases. Optim. Lett. 13(4): 875-890 (2019) - [j49]Elif Garajová, Milan Hladík:
Checking weak optimality and strong boundedness in interval linear programming. Soft Comput. 23(9): 2937-2945 (2019) - [c15]Iwona Skalna, Marcin Pietron, Milan Hladík:
Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems. PPAM (2) 2019: 374-383 - [c14]Milan Hladík, David Hartman:
Maximization of a Convex Quadratic Form on a Polytope: Factorization and the Chebyshev Norm Bounds. WCGO 2019: 119-127 - [i15]Milan Hladík:
Stability of the linear complementarity problem properties under interval uncertainty. CoRR abs/1908.07925 (2019) - [i14]David Hartman, Milan Hladík, David Ríha:
Computing the spectral decomposition of interval matrices and a study on interval matrix power. CoRR abs/1912.05275 (2019) - 2018
- [j48]Jaroslav Horácek, Václav Koucky, Milan Hladík:
Novel approach to computerized breath detection in lung function diagnostics. Comput. Biol. Medicine 101: 1-6 (2018) - [j47]Milan Hladík:
Bounds for the solutions of absolute value equations. Comput. Optim. Appl. 69(1): 243-266 (2018) - [j46]Michal Cerný, Milan Hladík:
Possibilistic linear regression with fuzzy data: Tolerance approach with prior information. Fuzzy Sets Syst. 340: 127-144 (2018) - [j45]Milan Hladík:
Testing pseudoconvexity via interval computation. J. Glob. Optim. 71(3): 443-455 (2018) - [i13]Jana Novotná, Milan Hladík, Tomás Masarík:
Duality Gap in Interval Linear Programming. CoRR abs/1802.05795 (2018) - [i12]David Hartman, Milan Hladík:
Regularity radius: Properties, approximation and a not a priori exponential algorithm. CoRR abs/1806.09988 (2018) - 2017
- [j44]Julien Alexandre Dit Sandretto, Milan Hladík:
Solving over-constrained systems of non-linear interval equations - And its robotic application. Appl. Math. Comput. 313: 180-195 (2017) - [j43]Milan Hladík:
Interval convex quadratic programming problems in a general form. Central Eur. J. Oper. Res. 25(3): 725-737 (2017) - [j42]Snehashish Chakraverty, Milan Hladík, Nisha Rani Mahato:
A Sign Function Approach to Solve Algebraically Interval System of Linear Equations for Nonnegative Solutions. Fundam. Informaticae 152(1): 13-31 (2017) - [j41]Iwona Skalna, Milan Hladík:
A new algorithm for Chebyshev minimum-error multiplication of reduced affine forms. Numer. Algorithms 76(4): 1131-1152 (2017) - [j40]Milan Hladík:
On strong optimality of interval linear programming. Optim. Lett. 11(7): 1459-1468 (2017) - [c13]Milan Hladík, Michal Cerný:
The Shape of the Optimal Value of a Fuzzy Linear Programming Problem. NAFIPS 2017: 281-286 - [c12]Ondrej Král, Milan Hladík:
Parallel Computing of Linear Systems with Linearly Dependent Intervals in MATLAB. PPAM (2) 2017: 391-401 - [i11]Milan Hladík:
Eigenvalues of symmetric tridiagonal interval matrices revisited. CoRR abs/1704.03670 (2017) - [i10]Milan Hladík:
Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix. CoRR abs/1704.05782 (2017) - [i9]Milan Hladík:
AE regularity of interval matrices. CoRR abs/1707.02102 (2017) - [i8]Milan Hladík:
An Overview of Polynomially Computable Characteristics of Special Interval Matrices. CoRR abs/1711.08732 (2017) - 2016
- [j39]Amir Shahin, Payam Hanafizadeh, Milan Hladík:
Sensitivity analysis of linear programming in the presence of correlation among right-hand side parameters or objective function coefficients. Central Eur. J. Oper. Res. 24(3): 563-593 (2016) - [j38]Michal Cerný, Milan Hladík:
Inverse optimization: towards the optimal parameter set of inverse LP with interval coefficients. Central Eur. J. Oper. Res. 24(3): 747-762 (2016) - [j37]Milan Hladík:
Robust optimal solutions in interval linear programming with forall-exists quantifiers. Eur. J. Oper. Res. 254(3): 705-714 (2016) - [j36]S. Rivaz, Mohammad Ali Yaghoobi, Milan Hladík:
Using modified maximum regret for finding a necessarily efficient solution in an interval MOLP problem. Fuzzy Optim. Decis. Mak. 15(3): 237-253 (2016) - [j35]Amin Mostafaee, Milan Hladík, Michal Cerný:
Inverse linear programming with interval coefficients. J. Comput. Appl. Math. 292: 591-608 (2016) - [j34]Milan Hladík:
An extension of the αBB-type underestimation to linear parametric Hessian matrices. J. Glob. Optim. 64(2): 217-231 (2016) - [c11]Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladík, Stephen J. Gaukrodger:
Refining Subgames in Large Imperfect Information Games. AAAI 2016: 572-578 - [i7]Jaroslav Horácek, Milan Hladík, Michal Cerný:
Interval Linear Algebra and Computational Complexity. CoRR abs/1602.00349 (2016) - 2015
- [j33]Milan Hladík, Evgenija D. Popova:
Maximal inner boxes in parametric AE-solution sets with linear shape. Appl. Math. Comput. 270: 606-619 (2015) - [j32]Milan Hladík:
On the efficient Gerschgorin inclusion usage in the global optimization αBB method. J. Glob. Optim. 61(2): 235-253 (2015) - [c10]Martin Schmid, Matej Moravcik, Milan Hladík, Stephen J. Gaukrodger:
Automatic Public State Space Abstraction in Imperfect Information Games. AAAI Workshop: Computer Poker and Imperfect Information 2015 - [c9]Jaroslav Horácek, Václav Koucky, Milan Hladík:
Children Lung Function Diagnostics - New Methods For Handling of Clinical Data. BICT 2015: 174-176 - [c8]Milan Hladík, Michal Cerný:
Total Least Squares and Chebyshev Norm. ICCS 2015: 1791-1800 - [c7]Jan Bok, Milan Hladík:
Selection-based Approach to Cooperative Interval Games. ICORES 2015: 34-41 - [c6]Jan Bok, Milan Hladík:
Selection-Based Approach to Cooperative Interval Games. ICORES (Selected Papers) 2015: 40-53 - [i6]Marzieh Dehghani-Madiseh, Milan Hladík:
Efficient Approaches for Enclosing the United Solution Set of the Interval Generalized Sylvester Matrix Equation. CoRR abs/1510.04853 (2015) - 2014
- [j31]Michal Cerný, Milan Hladík:
The complexity of computation and approximation of the t-ratio over one-dimensional interval data. Comput. Stat. Data Anal. 80: 26-43 (2014) - [j30]Milan Hladík, Stefan Ratschan:
Efficient Solution of a Class of Quantified Constraints with Quantifier Prefix Exists-Forall. Math. Comput. Sci. 8(3-4): 329-340 (2014) - [j29]Milan Hladík:
How to determine basis stability in interval linear programming. Optim. Lett. 8(1): 375-389 (2014) - [j28]Milan Hladík:
On approximation of the best case optimal value in interval linear programming. Optim. Lett. 8(7): 1985-1997 (2014) - [j27]Milan Hladík:
New Operator and Method for Solving Real Preconditioned Interval Linear Equations. SIAM J. Numer. Anal. 52(1): 194-206 (2014) - [j26]Milan Hladík, Michal Cerný:
Tolerance Approach to Possibilistic Nonlinear Regression With Interval Data. IEEE Trans. Cybern. 44(12): 2509-2520 (2014) - [c5]Martin Schmid, Matej Moravcik, Milan Hladík:
Bounding the Support Size in Extensive Form Games with Imperfect Information. AAAI 2014: 784-790 - [c4]David Hartman, Milan Hladík:
Tight Bounds on the Radius of Nonsingularity. SCAN 2014: 109-115 - [c3]Milan Hladík:
Optimal Preconditioning for the Interval Parametric Gauss-Seidel Method. SCAN 2014: 116-125 - [p1]Milan Hladík, Jaroslav Horácek:
Interval Linear Programming Techniques in Constraint Programming and Global Optimization. Constraint Programming and Decision Making 2014: 47-59 - [i5]Jan Bok, Milan Hladík:
Selection-based approach to cooperative interval games. CoRR abs/1410.3877 (2014) - 2013
- [j25]Milan Hladík:
Bounds on eigenvalues of real and complex interval matrices. Appl. Math. Comput. 219(10): 5584-5591 (2013) - [j24]Milan Hladík, Sebastian Sitarz:
Maximal and supremal tolerances in multiobjective linear programming. Eur. J. Oper. Res. 228(1): 93-101 (2013) - [j23]Michal Cerný, Jaromír Antoch, Milan Hladík:
On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data. Inf. Sci. 244: 26-47 (2013) - [j22]Jaroslav Horácek, Milan Hladík:
Computing Enclosures of Overdetermined Interval Linear Systems. Reliab. Comput. 19(2): 142-155 (2013) - [j21]Evgenija D. Popova, Milan Hladík:
Outer enclosures to the parametric AE solution set. Soft Comput. 17(8): 1403-1414 (2013) - [c2]Milan Hladík, Jaroslav Horácek:
A Shaving Method for Interval Linear Systems of Equations. PPAM (2) 2013: 573-581 - [c1]Jaroslav Horácek, Milan Hladík:
Subsquares Approach - A Simple Scheme for Solving Overdetermined Interval Linear Systems. PPAM (2) 2013: 613-622 - [i4]Jaroslav Horácek, Milan Hladík:
Computing Enclosures of Overdetermined Interval Linear Systems. CoRR abs/1304.4738 (2013) - [i3]Jaroslav Horácek, Milan Hladík:
Subsquares Approach - Simple Scheme for Solving Overdetermined Interval Linear Systems. CoRR abs/1305.1059 (2013) - [i2]Milan Hladík, Stefan Ratschan:
Efficient Solution of a Class of Quantified Constraints with Quantifier Prefix Exists-Forall. CoRR abs/1312.6155 (2013) - 2012
- [j20]Milan Hladík:
Enclosures for the solution set of parametric interval linear systems. Int. J. Appl. Math. Comput. Sci. 22(3): 561-574 (2012) - [j19]Michal Cerný, Milan Hladík:
Two complexity results on c-optimality in experimental design. Comput. Optim. Appl. 51(3): 1397-1408 (2012) - [j18]Milan Hladík, Michal Cerný:
Interval regression by tolerance analysis approach. Fuzzy Sets Syst. 193: 85-107 (2012) - [j17]Milan Hladík:
Complexity of necessary efficiency in interval linear programming and multiobjective linear programming. Optim. Lett. 6(5): 893-899 (2012) - 2011
- [j16]Milan Hladík, David Daney, Elias P. Tsigaridas:
A filtering method for the interval eigenvalue problem. Appl. Math. Comput. 217(12): 5236-5242 (2011) - [j15]Milan Hladík, David Daney, Elias P. Tsigaridas:
Characterizing and approximating eigenvalue sets of symmetric interval matrices. Comput. Math. Appl. 62(8): 3152-3163 (2011) - [j14]Milan Hladík, David Daney, Elias P. Tsigaridas:
An algorithm for addressing the real interval eigenvalue problem. J. Comput. Appl. Math. 235(8): 2715-2730 (2011) - [j13]Milan Hladík:
Tolerance analysis in linear systems and linear programming. Optim. Methods Softw. 26(3): 381-396 (2011) - [j12]Milan Hladík, Luc Jaulin:
An Eigenvalue Symmetric Matrix Contractor. Reliab. Comput. 16: 27-37 (2011) - [i1]Milan Hladík, David Daney, Elias P. Tsigaridas:
Characterizing and approximating eigenvalue sets of symmetric interval matrices. CoRR abs/1102.4180 (2011) - 2010
- [j11]Milan Hladík:
Multiparametric linear programming: Support set and optimal partition invariancy. Eur. J. Oper. Res. 202(1): 25-31 (2010) - [j10]Milan Hladík:
Generalized linear fractional programming under interval uncertainty. Eur. J. Oper. Res. 205(1): 42-46 (2010) - [j9]Milan Hladík:
Interval valued bimatrix games. Kybernetika 46(3): 435-446 (2010) - [j8]Milan Hladík:
Solution Sets of Complex Linear Interval Systems of Equations. Reliab. Comput. 14: 78-87 (2010) - [j7]Milan Hladík, David Daney, Elias P. Tsigaridas:
Bounds on Real Eigenvalues and Singular Values of Interval Matrices. SIAM J. Matrix Anal. Appl. 31(4): 2116-2129 (2010)
2000 – 2009
- 2009
- [j6]Milan Hladík:
Optimal value range in interval linear programming. Fuzzy Optim. Decis. Mak. 8(3): 283-294 (2009) - 2008
- [j5]Milan Hladík:
Separation of convex polyhedral sets with column parameters. Kybernetika 44(1): 113-130 (2008) - [j4]Milan Hladík:
Computing the tolerances in multiobjective linear programming. Optim. Methods Softw. 23(5): 731-739 (2008) - [j3]Milan Hladík:
Additive and multiplicative tolerance in multiobjective linear programming. Oper. Res. Lett. 36(3): 393-396 (2008) - [j2]Milan Hladík:
Description of Symmetric and Skew-Symmetric Solution Set. SIAM J. Matrix Anal. Appl. 30(2): 509-521 (2008) - 2007
- [j1]Milan Hladík:
Solution Set Characterization of Linear Interval Systems with a Specific Dependence Structure. Reliab. Comput. 13(4): 361-374 (2007)
Coauthor Index
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