activity
20222025
most citedResolving Infeasibility of Linear Systems: A Parameterized Approach

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2025

Odd and Even Harder Problems on Cycle-Factors

Florian Hörsch, Csaba Király, Mirabel Mendoza-Cadena +3

For a graph (undirected, directed, or mixed), a cycle-factor is a collection of vertex-disjoint cycles covering the entire vertex set. Cycle-factors subject to parity constraints a…

math.CO2025

A Note on Mixed Cages of Girth 5

Gabriela Araujo-Pardo, Lydia Mirabel Mendoza-Cadena

A mixed regular graph is a graph where every vertex has incoming arcs, outgoing arcs, and edges; furthermore, if it has girth , we say that the graph is a \emph{$[z,…

cs.GT2025

The Strong Core of Housing Markets with Partial Order Preferences

Ildikó Schlotter, Lydia Mirabel Mendoza-Cadena

We study the strong core of housing markets when agents' preferences over houses are expressed as partial orders. We provide a structural characterization of the strong core, and p…

math.OC2024

On the Complexity of Inverse Bivariate Multi-unit Assignment Valuation Problems

Kristóf Bérczi, Lydia Mirabel Mendoza-Cadena

Inverse and bilevel optimization problems play a central role in both theory and applications. These two classes are known to be closely related due to the pioneering work of Dempe…

cs.DS20223 cited

Resolving Infeasibility of Linear Systems: A Parameterized Approach

Kristóf Bérczi, Alexander Göke, Lydia Mirabel Mendoza-Cadena +1

Deciding feasibility of large systems of linear equations and inequalities is one of the most fundamental algorithmic tasks. However, due to data inaccuracies or modeling errors, i…

math.OC2022

Inverse optimization problems with multiple weight functions

Kristóf Bérczi, Lydia Mirabel Mendoza-Cadena, Kitti Varga

We introduce a new class of inverse optimization problems in which an input solution is given together with linear weight functions, and the goal is to modify the weights by th…