activity
20172023
most citedTesting weak optimality of a given solution in interval linear programming revisited: NP-hardness proof, algorithm and some polynomial cases

10 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2023

Interval Transportation Problem: Feasibility, Optimality and the Worst Optimal Value

Elif Garajová, Miroslav Rada

We consider the model of a transportation problem with the objective of finding a minimum-cost transportation plan for shipping a given commodity from a set of supply centers to th…

math.OC2019

Walks on hyperplane arrangements and optimization of piecewise linear functions

Michal Černý, Milan Hladík, Miroslav Rada

We propose an exact iterative algorithm for minimization of a class of continuous cell-wise linear convex functions on a hyperplane arrangement. Our particular setup is motivated b…

math.OC2019★ 1 cited

A new polynomially solvable class of quadratic optimization problems with box constraints

Milan Hladík, Michal Černý, Miroslav Rada

We consider the quadratic optimization problem , where is a box and is assumed to be $\mathcal{O}(…

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

The NP-hard problem of computing the maximal sample variance over interval data is solvable in almost linear time with high probability

Miroslav Rada, Michal Černý, Ondřej Sokol

We consider the algorithm by Ferson et al. (Reliable computing 11(3), p. 207-233, 2005) designed for solving the NP-hard problem of computing the maximal sample variance over inter…

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.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…