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Mathematical Programming Journal,
Series A and Series B


Audience:
Mathematicians, Econometricians, Operations Researchers
Aims and Scope: Mathematical Programming publishes original articles dealing with
every aspect of mathematical optimization; that is, everything of direct or indirect use
concerning the problem of optimizing a function of many variables, often subject to a set of
constraints. This involves theoretical and computational issues as well as application
studies. Included, along with the standard topics of linear, nonlinear, integer, conic,
stochastic and combinatorial optimization, are techniques for formulating and applying
mathematical programming models, convex, nonsmooth and variational analysis, the theory of
polyhedra, variational inequalities, and control and game theory viewed from the perspective
of mathematical programming. The editorial boards are particularly interested in novel
applications of mathematical programming and interfaces with engineering, economics, and
computer science. Articles primarily concered with computational issues such as
implementation and testing should in general be submitted to Mathematical Programming
Computation.
Mathematical Programming consists of two series. Series A publishes
original research articles, expositions and surveys, and reports on computational
experimentation and new or innovative practical applications as well as short communications
dealing with the above. Issues of Series B each focus on a single subject of
current interest to the mathematical programming community. Each issue of Series B has one or
more guest editors, who need not be members of the editorial board. An issue may be a
collection of original articles, a single research monograph or a selection of papers from a
conference.
Mathematical Programming Studies, the predecessor of Mathematical Programming, Series B, is
available
online at SpringerLink, with free access to MOS members when logging in with the personal
username and password.
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Mathematical Programming Computation


Audience:
Computer Scientists, Mathematicians, Operations Researchers
Aims and Scope: Mathematical Programming Computation (MPC) publishes original
research articles covering computational issues in mathematical optimization. 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.
MPC supports the creation and distribution of opensource 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. Articles describing nonopen
software are also considered for publication, provided reviewers are given access to
executable codes that can be used to evaluate reported computational results.
Link to the Mathematical Programming Computation home page.
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Editorial Boards Series A and B
All information on the editorial boards of Mathematical Programming A and B can be found here.
Editorial Board MPC
All information on the editorial board of Mathematical Programming Computation can be found here.

Publisher
Springer Web Site for Mathematical Programming
(Springer has published the journal since January 1999.)
Instructions for Authors: Includes information on preparing and submitting your paper.
Springer has an online platform for submitting papers to Mathematical Programming A.
SpringerLink: Electronic access to published papers
LateX Style Files
The MPA and MPB style files (including the LateX2e class file, a template LateX2e source file, a
modification clo file, the user guide, and supplementc) maybe downloaded from the Springer web page.
Submitting
Springer has an online platform for submitting papers to Mathematical Programming A.
Abstracting/Indexing
The journal is indexed in the following publications:
 ACM Computing Reviews,
 Cambridge Scientific Abstracts,
 Engineering Index,
 ISI Current Contents,
 Mathematical Reviews,
 QCAS,
 Statistical Theory and Method Abstracts,
 Theoretical Physics,
 Zentralblatt f374r Mathematik
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