Mathematical Programming Computation

A New 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.

Volume 10, Issue 1, March 2018

Table of Contents

Sparse-BSOS: a bounded degree SOS hierarchy for large scale polynomial optimization with sparsity Abstract PDF
Tillmann Weisser, Jean B. Lasserre, Kim-Chuan Toh 1-32
Branch-and-cut for linear programs with overlapping SOS1 constraints Abstract PDF
Tobias Fischer, Marc E. Pfetsch 33-68
A robust and scalable algorithm for the Steiner problem in graphs Abstract PDF
Thomas Pajor, Eduardo Uchoa, Renato F. Werneck 69-118
Parallelizing the dual revised simplex method Abstract PDF
Q. Huangfu, J. A. J. Hall 119-142

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