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Mathematics | Mathematical Programming Computation - incl. option to publish open access (Editorial Board)

Mathematical Programming Computation

Mathematical Programming Computation

A Publication of the Mathematical Optimization Society

Editor-in-Chief: Daniel Bienstock

ISSN: 1867-2949 (print version)
ISSN: 1867-2957 (electronic version)

Journal no. 12532

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Daniel Bienstock
Department of Industrial Engineering and Operations Research
Columbia University
500 West 120th St.
New York, NY 10027, USA
e-mail: dano@columbia.edu

General Editor: Thorsten Koch, Konrad-Zuse-Zentrum Berlin, Germany

Production Editor: Wolfgang Dalitz, Konrad-Zuse-Zentrum Berlin, Germany

Area Editors

Alper Atamturk, University of California-Berkeley, CA, USA (Area: Linear and Integer Programming)
Sanjeeb Dash, IBM T.J. Watson Reseach Center, Yorktown Heights, NY USA (Discrete Optimization)
Santanu Dey, Georgia Institute of Technology, Atlanta,GA, USA (Area: Mixed-Integer Nonlinear Programming)
Robert Fourer, Northwestern University, Evanston, IL, USA (Area: Modeling Languages and Systems)
Andrew Goldberg, Amazon.com, Inc., E. Palo Alto, CA, USA (Area: Graph Algorithms and Data Structures)
Andreas Waechter, Northwestern University, Evanston, IL, USA (Area: Nonlinear Programming)
Jeffrey T. Linderoth, University of Wisconsin-Madison, WI, USA (Area: Stochastic Optimization, Robust Optimization, and Global Optimization)
F. Bruce Shepherd, McGill University, Montreal, Canada (Area: Combinatorial Optimization)
Kim-Chuan Toh, National University of Singapore (Area: Convex Optimization)

Associate Editors

Shabbir Ahmed, Georgia Institute of Technology, Atlanta, GA, USA
Frank E. Curtis, Lehigh University, Bethlehem, PA, USA
Camil Demetrescu, University of Rome, Italy
Matteo Fischetti, University of Padova, Italy
Emmanuel Fragniere, Haute Ecole de Gestion, Geneva, Switzerland
Philip E. Gill, University of California San Diego, La Jolla, CA, USA
Jacek Gondzio, University of Edinburgh, Scotland
Marcos Goycoolea, Universidad Adolfo Ibanez, Santiago, Chile
Michal Kocvara, University of Birmingham, UK
Xin Liu, Academy of Mathematics and Systems Science, Beijing, China
Andrea Lodi, University of Bologna, Italy
James Luedtke, University of Wisconsin-Madison, WI, USA
Rafael Marti, University of Valencia, Spain
Alexander Martin, Universität Erlangen-Nürnberg, Germany
Laurent Michel, University of Connecticut, Storrs, CT, USA
Petra Mutzel, Technische Universitaet Dortmund, Germany
Marc Pfetsch, Technische Universitaet Darmstadt, Germany
Hou-Duo Qi, University of Southampton, UK
Nikolaos V. Sahinidis, Carnegie Mellon University, Pittsburg, PA, USA
Melvyn Sim, National University of Singapore
Huseyin Topaloglu, Cornell University, Ithaca, NY, USA
Michael Ulbrich, Technische Universitaet Muenchen, Germany
Renato Werneck, Amazon.com, Inc. E.Palo Alto, CA, USA
Yin Zhang, Rice University, Houston, TX, USA

Technical Editors

Tobias Achterberg, Gurobi Optimization
Pietro Belotti, FICO
Hande Y. Benson, Drexel University, Philadelphia, PA, USA
Timo Berthold, FICO 
Andreas Bley, University of Kassel, Germany
Pierre Bonami, IBM
Brian Borchers, New Mexico Tech, Soccoro, NM, USA
Jordi Castro, Universitat Politècnica de Catalunya, Barcelona, Spain
Jonathan Eckstein, Rutgers University, USA
Daniel Espinoza, Universidade de Chile, Santiago, Chile
Armin Fügenschuh, Universität der Bundeswehr, Hamburg, Germany
Ricardo Fukasawa, University of Waterloo, Ontariao, Canada
Ambros Gleixner, Konrad-Zuse-Zentrum Berlin, Germany
Andreas Grothey, University of Edinburgh, Scotland
Zonghao Gu, Gurobi Optimization
Julian Hall, University of Edinburgh, UK
William Hart, Sandia National Laboratories, Albuquerque, NM, USA
Keld Helsgaun, Roskilde University, Denmark
Benjamin Hiller, Konrad-Zuse-Zentrum Berlin, Germany
Laszlo Ladanyi, IBM
Leonardo B. Lopes, University of Arizona, Tucson, AZ, USA
Miles Lubin, MIT, Cambridge MA, USA
Gonzalo Muñoz, Dept. of IEOR, Columbia University, New York, NY, USA
Todd S. Munson, Argonne National Laboratory, Argonne, IL, USA
Giacomo Nannicini, IBM T.J. Watson, USA
Dominique Orban, Ecole Polytechnique de Montréal, Québec, Canada
Marc Pfetsch, Technische Universität Darmstadt, Germany
Ted Ralphs, Lehigh University, Bethlehem, PA, USA
Domenico Salvagnin, University of Padova, Italy
Lars Schewe, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
Martin Schmidt, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
Jonas Schweiger, Konrad-Zuse-Zentrum Berlin, Germany
Dan Steffy, Oakland University, Rochester, MI, USA
Mohit Tawarmalani, Purdue University, West Lafayette, IN, USA
Stefan Vigerske, GAMS, Berlin, Germany
Richard A. Waltz, University of Southern California, Los Angeles, CA, USA
Zaiwen Wen, Pekting University, China
Stefan Wild, Argonne National Laboratory, USA
Victor Zavala, University of Wisconsin, Madison, WI, USA

Advisory Board

Robert E. Bixby, Rice University, Houston, TX, USA
Donald Goldfarb, Columbia University, NY, USA
Nick Gould, Rutherford Appleton Laboratory, Oxfordshire, UK
Martin Grötschel, Konrad-Zuse-Zentrum Berlin, Germany
David S. Johnson, Columbia University, New York, NY, USA 
Kurt Mehlhorn, Max-Planck-Institut für Informatik, Saarbrücken, Germany
Hans D. Mittelmann, Arizona State University, Tempe, AZ, USA
Arkadi Nemirovski, Georgia Tech, Atlanta, GA, USA
Jorge Nocedal, Northwestern University, Evanstone, IL, USA
Michael Trick, Carnegie Mellon University, Pittsburgh, PA, USA
Robert Vanderbei, Princeton University, NJ, USA
David P. Williamson, Cornell University, Ithaca, NY, USA

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    Mathematical Programming Computation (MPC) publishes original research articles covering computational issues in mathematical programming. Articles report on innovative software, comparative tests, modeling environments, libraries of data, and/or applications. A main feature of the journal is the inclusion of accompanying software and data with submitted manuscripts. The journal's review process includes the evaluation and testing of the accompanying software. Where possible, the review will aim for verification of reported computational results. Topics covered in MPC include linear programming, convex optimization, nonlinear optimization, stochastic optimization, robust optimization, integer programming, combinatorial optimization, global optimization, network algorithms, and modeling languages.

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