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 2, June 2018

Table of Contents

Detecting almost symmetries of graphs Abstract PDF
Ben Knueven, Jim Ostrowski, Sebastian Pokutta 143-185
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations Abstract PDF
Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, Lorenz T. Biegler 187-223
Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs Abstract PDF
Kibaek Kim, Victor M. Zavala 225-266
mplrs: A scalable parallel vertex/facet enumeration code Abstract PDF
David Avis, Charles Jordan 267-302

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