Mathematical Programming Computation
Mathematical Programming Computation: Call for Papers
Mathematical Programming Computation (MPC) is a new journal of the Mathematical Programming Society. The field of mathematical programming concerns the minimization and maximization of real-valued functions, subject to constraints on the variables. MPC publishes original research articles covering computational issues surrounding these problems, including reports on innovative software, comparative tests, modeling environments, libraries of data, and applications.
A main feature of MPC 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.
MPC supports the creation and distribution of software and data that foster further computational research. The opinion of the reviewers concerning this aspect of the provided material is a considerable factor in the editorial decision process. Authors are highly encouraged to provide the source code of their software. Submitted software is archived with the corresponding research articles. The software is not updated and the journal is not intended to be the point of distribution for the software. The author's licensing information is included with the archived software. In case the software is no longer available through other means, MPC will distribute it on individual request under the license given by the author. The intent is to at least partly remedy today's situation where it is often impossible to compare new results with those computed by other codes several years ago.
Articles describing software where no source code is made available are acceptable, provided reviewers are given access to executable codes that can be used to evaluate reported computational results.
MPC is published by Springer Verlag, with the first volume, consisting of four issues, appearing in 2009. All members of the Mathematical Programming Society receive print versions of the journal as part of their membership benefits. The contents of the journal will be made available on the society-run MPC web site, open to members and nonmembers. Supplementary material will be included on the web site, supporting the computational studies described in the journal articles.
Authors are invited to submit articles for possible publication in MPC. Starting December 1, 2008, research articles can be submitted in Adobe PDF format through the MPC web site. Software and supplementary material can also be submitted through the web-based system. Software should be delivered as a zip or gzipped-tar archive file that unpacks into a directory, reflecting the name of the software. Prior to December 1, 2008, articles and supplementary material should be submitted to William Cook (Editor-in-Chief) at firstname.lastname@example.org.
Details of the submission and review process can be found on the journal's Information for Authors page.
Editor-in-Chief: William Cook, Georgia Tech
General Editor: Thorsten Koch, Konrad-Zuse-Zentrum Berlin
Production Editor: Wolfgang Dalitz, Konrad-Zuse-Zentrum Berlin
Linear and Integer Programming:  Daniel Bienstock, Columbia University
Modeling Languages and Systems:  Robert Fourer, Northwestern University
Graph Algorithms and Data Structures:  Andrew Goldberg, Microsoft Research
Nonlinear Optimization:  Sven Leyffer, Argonne National Laboratory
Stochastic Optimization, Robust Optimization, and Global Optimization:
Jeffrey T. Linderoth, University of Wisconsin-Madison
Combinatorial Optimization:  Gerhard Reinelt, Universität Heidelberg
Convex Optimization:  Kim Toh, National University of Singapore
November 26, 2008