Mathematical Programming Computation

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

Description

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 4, December 2018

Table of Contents

Cubic regularization in symmetric rank-1 quasi-Newton methods Abstract PDF
Hande Y. Benson, David F. Shanno 457-486
The GeoSteiner software package for computing Steiner trees in the plane: an updated computational study Abstract PDF
Daniel Juhl, David M. Warme, Pawel Winter, Martin Zachariasen 487-532
A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming Abstract PDF
Yunhai Xiao, Liang Chen, Donghui Li 533-555
Matrix minor reformulation and SOCP-based spatial branch-and-cut method for the AC optimal power flow problem Abstract PDF
Burak Kocuk, Santanu S. Dey, X. Andy Sun 557-596
RBFOpt: an open-source library for black-box optimization with costly function evaluations Abstract PDF
Alberto Costa, Giacomo Nannicini 597-629
ADMM for the SDP relaxation of the QAP Abstract PDF
Danilo Elias Oliveira, Henry Wolkowicz, Yangyang Xu 631-658
Learning customized and optimized lists of rules with mathematical programming Abstract PDF
Cynthia Rudin, ?eyda Ertekin 659-702
QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming Abstract PDF
Xudong Li, Defeng Sun, Kim-Chuan Toh 703-743


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