Preface. - Josef Kallrath; Panos M. Pardalos; Steffen Rebennack (Comput. Manag. Sci., 2008)

Column enumeration based decomposition techniques for a class of non-convex MINLP problems. - Steffen Rebennack; Josef Kallrath; Panos M. Pardalos (J. Glob. Optim., 2009)

Bilinear modeling solution approach for fixed charge network flow problems. - Steffen Rebennack; Artyom G. Nahapetyan; Panos M. Pardalos (Optim. Lett., 2009)

Ellipsoid Method. - Steffen Rebennack (Encyclopedia of Optimization, 2009)

Stable Set Problem: Branch & Cut Algorithms. - Steffen Rebennack (Encyclopedia of Optimization, 2009)

A Novel Wavelet Based Algorithm for Spike and Wave Detection in Absence Epilepsy. - Petros Xanthopoulos; Steffen Rebennack; Chang-Chia Liu; Jicong Zhang; Gregory L. Holmes; Basim M. Uthman; Panos M. Pardalos (BIBE, 2010)

Computational Challenges with Cliques, Quasi-cliques and Clique Partitions in Graphs. - Panos M. Pardalos; Steffen Rebennack (SEA, 2010)

Complexity analysis for maximum flow problems with arc reversals. - Steffen Rebennack; Ashwin Arulselvan; Lily Elefteriadou; Panos M. Pardalos (J. Comb. Optim., 2010)

Optimal storage design for a multi-product plant: A non-convex MINLP formulation. - Steffen Rebennack; Josef Kallrath; Panos M. Pardalos (Comput. Chem. Eng., 2011)

A Branch and Cut solver for the maximum stable set problem. - Steffen Rebennack; Marcus Oswald; Dirk Oliver Theis; Hanna Seitz; Gerhard Reinelt; Panos M. Pardalos (J. Comb. Optim., 2011)

A tutorial on branch and cut algorithms for the maximum stable set problem. - Steffen Rebennack; Gerhard Reinelt; Panos M. Pardalos (Int. Trans. Oper. Res., 2012)

The unit commitment model with concave emissions costs: a hybrid Benders' Decomposition with nonconvex master problems. - Jennifer Van Dinter; Steffen Rebennack; Josef Kallrath; Paul Denholm; Alexandra M. Newman (Ann. Oper. Res., 2013)

Network interdiction via a Critical Disruption Path: Branch-and-Price algorithms. - Donatella Granata; Gregory Steeger; Steffen Rebennack (Comput. Oper. Res., 2013)

Solving real-world cutting stock-problems in the paper industry: Mathematical approaches, experience and challenges. - Julia Kallrath; Steffen Rebennack; Josef Kallrath; Rüdiger Kusche (Eur. J. Oper. Res., 2014)

Cutting ellipses from area-minimizing rectangles. - Josef Kallrath; Steffen Rebennack (J. Glob. Optim., 2014)

Optimal design of mixed AC-DC distribution systems for commercial buildings: A Nonconvex Generalized Benders Decomposition approach. - Stephen M. Frank; Steffen Rebennack (Eur. J. Oper. Res., 2015)

Continuous Piecewise Linear Delta-Approximations for Bivariate and Multivariate Functions. - Steffen Rebennack; Josef Kallrath (J. Optim. Theory Appl., 2015)

Continuous Piecewise Linear Delta-Approximations for Univariate Functions: Computing Minimal Breakpoint Systems. - Steffen Rebennack; Josef Kallrath (J. Optim. Theory Appl., 2015)

Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling. - Timo Lohmann; Amanda S. Hering; Steffen Rebennack (Eur. J. Oper. Res., 2016)

Computing tight bounds via piecewise linear functions through the example of circle cutting problems. - Steffen Rebennack (Math. Methods Oper. Res., 2016)

Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming. - Steffen Rebennack (Math. Program., 2016)

Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management: Mitigation and emergency evacuation. - Vitaliy Krasko; Steffen Rebennack (Eur. J. Oper. Res., 2017)

Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: An application to the strategic bidding problem. - Gregory Steeger; Steffen Rebennack (Eur. J. Oper. Res., 2017)

Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response. - Timo Lohmann; Steffen Rebennack (Manag. Sci., 2017)

Piecewise Linear Function Fitting via Mixed-Integer Linear Programming. - Steffen Rebennack; Vitaliy Krasko (INFORMS J. Comput., 2020)

Two-stage stochastic minimum s - t cut problems: Formulations, complexity and decomposition algorithms. - Steffen Rebennack; Oleg A. Prokopyev; Bismark Singh (Networks, 2020)

MINLP formulations for continuous piecewise linear function fitting. - Noam Goldberg; Steffen Rebennack; Youngdae Kim; Vitaliy Krasko; Sven Leyffer (Comput. Optim. Appl., 2021)

High-Performance Prototyping of Decomposition Methods in GAMS. - Timo Lohmann; Michael R. Bussieck; Lutz Westermann; Steffen Rebennack (INFORMS J. Comput., 2021)

Leveraged least trimmed absolute deviations. - Nathan Sudermann-Merx; Steffen Rebennack (OR Spectr., 2021)

A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting. - John Alasdair Warwicker; Steffen Rebennack (INFORMS J. Comput., 2022)

Data-driven stochastic optimization for distributional ambiguity with integrated confidence region. - Steffen Rebennack (J. Glob. Optim., 2022)

Non-convex nested Benders decomposition. - Christian Füllner; Steffen Rebennack (Math. Program., 2022)

Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining. - Issam Abdeldjalil Ikhelef; John Alasdair Warwicker; Steffen Rebennack; Mohand Yazid Saidi; Ken Chen (APNOMS, 2023)

A unified framework for bivariate clustering and regression problems via mixed-integer linear programming. - John Alasdair Warwicker; Steffen Rebennack (Discret. Appl. Math., 2023)

Support vector machines within a bivariate mixed-integer linear programming framework. - John Alasdair Warwicker; Steffen Rebennack (Expert Syst. Appl., 2024)

Feasibility Verification and Upper Bound Computation in Global Minimization Using Approximate Active Index Sets. - Christian Füllner; Peter Kirst; Hendrik Otto; Steffen Rebennack (INFORMS J. Comput., 2024)

Optimal investment by large consumers in an electricity market with generator market power. - Pranjal Pragya Verma; Mohammad Reza Hesamzadeh; Steffen Rebennack; Derek W. Bunn; K. Shanti Swarup 001; Dipti Srinivasan (Comput. Manag. Sci., 2024)

Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration. - Simon Caspar Zeller; Paul-Niklas Ken Kandora; Daniel Kirste; Niclas Kannengießer; Steffen Rebennack; Ali Sunyaev (ICBC, 2025)

Stochastic Dual Dynamic Programming and Its Variants: A Review. - Christian Füllner; Steffen Rebennack (SIAM Rev., 2025)