activity
20182026
most citedEnabling Research through the SCIP Optimization Suite 8.0

67 citations · 69 across the 10 of their papers we have counts for

collaborators

13 papers

math.OC2026

A characterization of maximal inhomogeneous-quadratic-free sets

Gonzalo Muñoz, Joseph Paat, Felipe Serrano

The intersection cut framework is a versatile tool for generating valid inequalities in optimization. Its main ingredients are so-called -free sets: convex sets whose interiors…

math.OC2024

The SCIP Optimization Suite 9.0

Suresh Bolusani, Mathieu Besançon, Ksenia Bestuzheva +28

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization, centered around the constraint integer programming (CIP) framework SCIP. This…

math.OC2023★ 67 cited

Enabling Research through the SCIP Optimization Suite 8.0

Ksenia Bestuzheva, Mathieu Besançon, Wei-Kun Chen +32

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. The focus of…

math.OC2023★ 1 cited

Global Optimization of Mixed-Integer Nonlinear Programs with SCIP 8

Ksenia Bestuzheva, Antonia Chmiela, Benjamin Müller +3

For over ten years, the constraint integer programming framework SCIP has been extended by capabilities for the solution of convex and nonconvex mixed-integer nonlinear programs (M…

math.OC2022

A characterization of maximal homogeneous-quadratic-free sets

Gonzalo Muñoz, Joseph Paat, Felipe Serrano

The intersection cut framework was introduced by Balas in 1971 as a method for generating cutting planes in integer optimization. In this framework, one uses a full-dimensional con…

math.OC2022★ 1 cited

Adaptive Cut Selection in Mixed-Integer Linear Programming

Mark Turner, Thorsten Koch, Felipe Serrano +1

Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver…