activity
20132023
most citedA New Operator and Method for Solving Interval Linear Equations

29 citations · 171 across the 24 of their papers we have counts for

collaborators
Showing math.OCShow all

10 papers · 1 filter

math.OC2023

Characterization of Unique Solvability of Absolute Value Equations: An Overview, Extensions, and Future Directions

Shubham Kumar, Deepmala, Milan Hladik +1

This paper provides an overview of the necessary and sufficient conditions for guaranteeing the unique solvability of absolute value equations. In addition to discussing the basic…

math.OC2020★ 1 cited

Error bounds and a condition number for the absolute value equations

Moslem Zamani, Milan Hladic

Absolute value equations, due to their relation to the linear complementarity problem, have been intensively studied recently. In this paper, we present error bounds for absolute v…

math.OC2019

A class of optimization problems motivated by rank estimators in robust regression

Michal Cerny, Miroslav Rada, Jaromir Antoch +1

A rank estimator in robust regression is a minimizer of a function which depends (in addition to other factors) on the ordering of residuals but not on their values. Here we focus…

math.OC2019★ 10 cited

Stability of the linear complementarity problem properties under interval uncertainty

Milan Hladík

We consider the linear complementarity problem with uncertain data modeled by intervals, representing the range of possible values. Many properties of the linear complementarity pr…

math.OC2018★ 2 cited

Interval Linear Programming under Transformations: Optimal Solutions and Optimal Value Range

Elif Garajová, Milan Hladík, Miroslav Rada

Interval linear programming provides a tool for solving real-world optimization problems under interval-valued uncertainty. Instead of approximating or estimating crisp input data,…

math.OC2018★ 12 cited

Duality Gap in Interval Linear Programming

Jana Novotná, Milan Hladík, Tomáš Masařík

This paper deals with the problem of linear programming with inexact data represented by real closed intervals. Optimization problems with interval data arise in practical computat…

math.OC2017★ 10 cited

Testing weak optimality of a given solution in interval linear programming revisited: NP-hardness proof, algorithm and some polynomial cases

Miroslav Rada, Milan Hladík, Elif Garajová

We address the problem of testing weak optimality of a given solution of a given interval linear program. The problem was recently wrongly stated to be polynomially solvable. We di…

math.OC2014★ 1 cited

Selection-based Approach to Cooperative Interval Games

Jan Bok, Milan Hladík

Cooperative interval games are a generalized model of cooperative games in which the worth of every coalition corresponds to a closed interval representing the possible outcomes of…

math.OC2014★ 27 cited

Robust optimal solutions in interval linear programming with forall-exists quantifiers

Milan Hladík

We introduce a novel kind of robustness in linear programming. A solution x* is called robust optimal if for all realizations of objective functions coefficients and constraint mat…

math.OC2013★ 13 cited

On the Efficient Gerschgorin Inclusion Usage in the Global Optimization αBB Method

Milan Hladík

In this paper, we revisit the αBB method for solving global optimization problems. We investigate optimality of the scaling vector used in Gerschgorin's inclusion theorem to calcul…