Mathematical Programming Computation

A Journal of the Mathematical Programming Society and Springer Verlag
Initial Volume: 2009


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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Volume 11, Issue 3, September 2019

Table of Contents

Certifiably optimal sparse principal component analysis Abstract PDF
Lauren Berk, Dimitris Bertsimas 381-420
Solving quadratic programs to high precision using scaled iterative refinement Abstract PDF
Tobias Weber, Ambros Gleixner, Sebastian Sager 421-455
Solving equilibrium problems using extended mathematical programming Abstract PDF
Youngdae Kim, Michael C. Ferris 457-501
Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs Abstract PDF
Yuzixuan Zhu, Gábor Pataki, Quoc Tran-Dinh 503-586
OAR Lib: an open source arc routing library Abstract PDF
Oliver Lum, Bruce Golden, Edward Wasil 587-629

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