Ambros Gleixner

Professor

HTW Berlin - University of Applied Sciences

Germany

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Ambros Gleixner is a Professor at HTW Berlin - University of Applied Sciences, Germany. His research focuses on linear and integer optimization, particularly in the areas of mixed-integer programming and computational techniques. Recent publications include works on precision boosting, delta debugging for solvers, and the development of parallel presolving libraries. He actively contributes to advancing methodologies in optimization and computational frameworks.

Articles (19)

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2025

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2020

Collaborators (6)

João Pedro Pedroso

Associate professor

University of Porto

PORTUGAL

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Gerald Gamrath

Zuse Institute Berlin

GERMANY

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Christopher Hojny

Assistant Professor at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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DIMITRI THOMOPULOS

University of Pisa

ITALY

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Jasper van Doornmalen

Eindhoven University of Technology

NETHERLANDS

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Timo Berthold

Lecturer (Privatdozent)

TU Berlin

GERMANY

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Ambros Gleixner

Research Interests

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About

Articles (19)

MIP-DD: Delta Debugging for Mixed-Integer Programming Solvers

Code and Data Repository for MIP-DD: Delta Debugging for Mixed Integer Programming Solvers

A diving heuristic for mixed-integer problems with unbounded semi-continuous variables

The MIP Workshop 2023 Computational Competition on reoptimization

Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization

Enabling Research through the SCIP Optimization Suite 8.0

A computational study of perspective cuts

PaPILO: A Parallel Presolving Library for Integer and Linear Optimization with Multiprecision Support

PaPILO: A Parallel Presolving Library for Integer and Linear Optimization with Multiprecision Support

A Safe Computational Framework for Integer Programming applied to Chvátal’s Conjecture

Accelerating domain propagation: An efficient GPU-parallel algorithm over sparse matrices

On generalized surrogate duality in mixed-integer nonlinear programming

A computational status update for exact rational mixed integer programming

A massively parallel interior-point solver for LPs with generalized arrowhead structure, and applications to energy system models

An Algorithm-Independent Measure of Progress for Linear Constraint Propagation

Price-and-verify: a new algorithm for recursive circle packing using Dantzig–Wolfe decomposition

Conflict-Driven Heuristics for Mixed Integer Programming

On the Relation between the Extended Supporting Hyperplane Algorithm and Kelley's Cutting Plane Algorithm

Using two-dimensional Projections for Stronger Separation and Propagation of Bilinear Terms

Collaborators (6)

João Pedro Pedroso

Gerald Gamrath

Christopher Hojny

DIMITRI THOMOPULOS

Jasper van Doornmalen

Timo Berthold

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