All Areas Submissions - May 2018
Complementarity and Variational Inequalities
Golden Ratio Algorithms for Variational Inequalities
Yura Malitsky
Complementarity and Variational Inequalities
A Special Complementarity Function Revisited
Roger Behling, Andreas Fischer, Klaus Schönefeld, Nico Strasdat
Combinatorial Optimization
An Improved Flow-based Formulation and Reduction Principles for the Minimum Connectivity Inference Problem
Muhammad Abid Dar, Andreas Fischer, John Martinovic, Guntram Scheithauer
Stochastic Programming
Quantitative Stability of Two-stage Stochastic Linear Programs with Full Random Recourse
Jie Jiang, Zhiping Chen
Applications — OR and Management Sciences
Acyclic Mechanism Design for Freight Consolidation
Wentao Zhang, Nelson A. Uhan, Maged Dessouky, Alejandro Toriello
Nonlinear Optimization
On a Frank-Wolfe Type Theorem in Cubic Optimization
Diethard Klatte
Linear, Cone and Semidefinite Programming
Refining the partition for multifold conic optimization problems
Hector Ramirez C., Vera Roshchina
Convex and Nonsmooth Optimization
On proximal point-type algorithms for weakly convex functions and their connection to the backward Euler method
Tim Hoheisel, Maxime Laborde, Adam Oberman
Nonlinear Optimization
An Envelope for Davis-Yin Splitting and Strict Saddle Point Avoidance
Yanli Liu, Wotao Yin
Nonlinear Optimization
A global hybrid derivative-free method for large-scale systems of nonlinear equations
Rodolfo Begiato, Ana Luisa Custódio, Márcia Aparecida Gomes-Ruggiero
Combinatorial Optimization
Minimum Diameter Color-Spanning Sets Revisited
Jonas Pruente
Convex and Nonsmooth Optimization
Variational Analysis and Optimization of Sweeping Processes with Controlled Moving Sets
Boris S. Mordukhovich
Convex and Nonsmooth Optimization
A second order dynamical approach with variable damping to nonconvex smooth minimization
Radu Ioan Bot, Ernö Robert Csetnek, Szilard Csaba Laszlo
Combinatorial Optimization
The Stable Set Problem: Clique and Nodal Inequalities Revisited
Adam N. Letchford, Fabrizio Rossi, Stefano Smriglio
Stochastic Programming
K-Adaptability in Stochastic Programming
Christoph Buchheim, Jonas Pruente
Combinatorial Optimization
A new approximation algorithm for unrelated parallel machine scheduling problem with release dates
Zhi Pei, Mingzhong Wan, Ziteng Wang
Robust Optimization
Distributionally robust optimization with polynomial densities: theory, models and algorithms
Etienne de Klerk, Daniel Kuhn, Krzysztof Postek
Integer Programming
Strong formulations for conic quadratic optimization with indicator variables
Andres Gomez
Convex and Nonsmooth Optimization
Robust-to-Dynamics Optimization
Amir Ali Ahmadi, Oktay Gunluk
Integer Programming
The running intersection relaxation of the multilinear polytope
Alberto Del Pia, Aida Khajavirad
Integer Programming
Polyhedral-based Methods for Mixed-Integer SOCP in Tree Breeding
Sena Safarina, Tim J Mullin, Makoto Yamashita
Applications — OR and Management Sciences
Fluid Arrivals Simulation for Choice Network Revenue Management
Thibault Barbier, Miguel F. Anjos, Fabien Cirinei, Gilles Savard
Nonlinear Optimization
Stable interior point method for convex quadratic programming with strict error bounds
Martin Neuenhofen, Stefania Bellavia
Applications — Science and Engineering
The Synthesis Problem of Decentralized Energy Systems is strongly NP-hard
Sebastian Goderbauer, Martin Comis, Felix J. L. Willamowski
Applications — OR and Management Sciences
Provably High-Quality Solutions for the Meal Delivery Routing Problem
Baris Yildiz, Martin Savelsbergh
Integer Programming
On decomposability of the multilinear polytope and its implications in mixed-integer nonlinear optimization
Alberto Del Pia, Aida Khajavirad
Nonlinear Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
Gesualdo Scutari, Ying Sun
Robust Optimization
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Convex and Nonsmooth Optimization
A family of spectral gradient methods for optimization
Yu-Hong Dai, Yakui Huang, Xin-Wei Liu
Stochastic Programming
Coalescing Data and Decision Sciences for Analytics
Yunxiao Deng, Junyi Liu, Suvrajeet Sen
Stochastic Programming
Two-stage stochastic (and distributionally robust) p-order conic mixed integer programs: Tight second stage formulations
Manish Bansal, Yingqiu Zhang
Nonlinear Optimization
A limited-memory optimization method using the inŻnitely many times repeated BNS update and conjugate directions
Jan Vlcek, Ladislav Luksan
Convex and Nonsmooth Optimization
A data-independent distance to infeasibility for linear conic systems
Javier Pena, Vera Roshchina
Combinatorial Optimization
Optimal switching sequence for switched linear systems
Zeyang Wu, Qie He
Robust Optimization
Piecewise constant decision rules via branch-and-bound based scenario detection for integer adjustable robust optimization
Ward Romeijnders, Krzysztof Postek
Convex and Nonsmooth Optimization
Stochastic subgradient method converges on tame functions
Damek Davis, Dmitriy Drusvyatskiy, Sham Kakade, Jason D. Lee
Convex and Nonsmooth Optimization
A proximal minimization algorithm for structured nonconvex and nonsmooth problems
Radu Ioan Bot, Ernö Robert Csetnek, Dang-Khoa Nguyen
Combinatorial Optimization
Extended Formulations for Radial Cones
Matthias Walter, Stefan Weltge
Applications — Science and Engineering
A Fully Distributed Dual Consensus ADMM Based on Partition for DC-OPF with Carbon Emission Trading
Yang L.F, Luo J.Y., Xu Y., Zhang Z.R., Dong Z.Y.
Network Optimization
The optimal design of low-latency virtual backbones
Austin Buchanan, Hamidreza Validi
Applications — OR and Management Sciences
Solving Time Dependent Traveling Salesman Problems with Time Windows
Duc Vu, Mike Hewitt, Natashia Boland, Martin Savelsbergh
Stochastic Programming
Inexact Stochastic Mirror Descent for two-stage nonlinear stochastic programs
Vincent Guigues
Optimization Software and Modeling Systems
Sensitivity Analysis for Nonlinear Programming in CasADi
J A E Andersson, J B Rawlings
Linear, Cone and Semidefinite Programming
An ADMM-Based Interior-Point Method for Large-Scale Linear Programming
Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang
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