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

24 papers

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…

cs.AI2023★ 6 cited

A Brief Review of Explainable Artificial Intelligence in Healthcare

Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci +13

XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-sta…

math.NA2020

On unbounded directions of linear interval parametric systems and their extensions to AE solutions

M. Hladík

We consider a system of linear equations, whose coefficients depend linearly on interval parameters. Its solution set is defined as the set of all solutions of all admissible reali…

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.NA2019★ 11 cited

Computing the spectral decomposition of interval matrices and a study on interval matrix power

David Hartman, Milan Hladík, David Říha

We present an algorithm for computing a spectral decomposition of an interval matrix as an enclosure of spectral decompositions of particular realizations of interval matrices. The…

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.NA2018★ 6 cited

Regularity radius: Properties, approximation and a not a priori exponential algorithm

David Hartman, Milan Hladik

The radius of regularity sometimes spelled as the radius of nonsingularity is a measure providing the distance of a given matrix to the nearest singular one. Despite its possible a…

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.NA2017★ 8 cited

An Overview of Polynomially Computable Characteristics of Special Interval Matrices

Milan Hladík

It is well known that many problems in interval computation are intractable, which restricts our attempts to solve large problems in reasonable time. This does not mean, however, t…

math.NA2017★ 3 cited

AE regularity of interval matrices

Milan Hladík

Consider a linear system of equations with interval coefficients, and each interval coefficient is associated with either a universal or an existential quantifier. The AE solution…

math.NA2017★ 9 cited

Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix

Milan Hladík

We consider a symmetric matrix, the entries of which depend linearly on some parameters. The domains of the parameters are compact real intervals. We investigate the problem of che…

math.NA2017

Eigenvalues of symmetric tridiagonal interval matrices revisited

Milan Hladík

In this short note, we present a novel method for computing exact lower and upper bounds of eigenvalues of a symmetric tridiagonal interval matrix. Compared to the known methods, o…

cs.CC2016

Interval Linear Algebra and Computational Complexity

Jaroslav Horáček, Milan Hladík, Michal Černý

This work connects two mathematical fields - computational complexity and interval linear algebra. It introduces the basic topics of interval linear algebra - regularity and singul…

math.NA2015★ 10 cited

Efficient Approaches for Enclosing the United Solution Set of the Interval Generalized Sylvester Matrix Equations

Marzieh Dehghani-Madiseh, Milan Hladík

In this work, we investigate the interval generalized Sylvester matrix equation and develop some techniques for obtaining outer estim…

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…

cs.LO2013

Efficient Solution of a Class of Quantified Constraints with Quantifier Prefix Exists-Forall

Milan Hladík, Stefan Ratschan

In various applications the search for certificates for certain properties (e.g., stability of dynamical systems, program termination) can be formulated as a quantified constraint…

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…

math.NA2013★ 29 cited

A New Operator and Method for Solving Interval Linear Equations

Milan Hladík

We deal with interval linear systems of equations. We present a new operator, which generalizes the interval Gauss-Seidel method. Also, based on the new operator and properties of…

math.NA2013★ 3 cited

Subsquares Approach - Simple Scheme for Solving Overdetermined Interval Linear Systems

Jaroslav Horáček, Milan Hladík

In this work we present a new simple but efficient scheme - Subsquares approach - for development of algorithms for enclosing the solution set of overdetermined interval linear sys…

math.NA2013★ 10 cited

Computing Enclosures of Overdetermined Interval Linear Systems

Jaroslav Horáček, Milan Hladík

This work considers special types of interval linear systems - overdetermined systems. Simply said these systems have more equations than variables. The solution set of an interval…