Optimization Online


Optimization Online Digest — December 2018

Applications — OR and Management Sciences

Policies for Inventory Models with Product Returns Forecast from Past Demands and Past Sales
Mabel C. Chou, C.-K. Sim , X.-M. Yuan

Bookings in the European Gas Market: Characterisation of Feasibility and Computational Complexity Results
Martine Labbé, Fränk Plein, Martin Schmidt

Large-scale Influence Maximization via Maximal Covering Location
Evren Güney, Markus Leitner, Mario Ruthmair, Markus Sinnl

Joint Pricing and Production: A Fusion of Machine Learning and Robust Optimization
Georgia Perakis, Melvyn Sim, Qinshen Tang, Peng Xiong

Applications — Science and Engineering

Group sparse recovery in impulsive noise via alternating direction method of multipliers
Jianwen Huang, Feng Zhang, Jianjun Wang, Wendong Wang

Combinatorial Optimization

On prime and minimal representations of a face of a polyhedron
Ta Van Tu

A New Extended Formulation with Valid Inequalities for the Capacitated Concentrator Location Problem
Massimo Di Francesco, Manlio Gaudioso, Enrico Gorgone, Ishwar Murthy

Complementarity and Variational Inequalities

A Piecewise Convexification Method for Solving Bilevel Programs with A Nonconvex Follower's Problem
Gaoxi Li

Convex and Nonsmooth Optimization

The Sard theorem for essentially smooth locally Lipschitz maps and applications in optimization
Xuan Duc Ha Truong

On inexact relative-error hybrid proximal extragradient, forward-backward and Tseng's modified forward-backward methods with inertial effects
Maicon Marques Alves, Raul Marcavillaca

Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato

A Generalization of Linearized Alternating Direction Method of Multipliers with Indefinite Proximal Regularization and Smaller Proximal Parameter
Chang Xiaokai, Liu Sanyang, Zhao Pengjun, Song Dunjiang

An efficient adaptive accelerated inexact proximal point method for solving linearly constrained nonconvex composite problems
Weiwei Kong, Renato D.C. Monteiro, Jefferson G. Melo

Generating irreducible copositive matrices using the stable set problem
Peter J.C. Dickinson, Reinier de Zeeuw

First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
Ching-pei Lee, Stephen Wright

A unified framework for Bregman proximal methods: subgradient, gradient, and accelerated gradient schemes
David H. Gutman, Javier Pena

Consistency Bounds and Support Recovery of D-stationary Solutions of Sparse Sample Average Approximations
Miju Ahn

A Comparison of Nonsmooth, Nonconvex, Constrained Optimization Solvers for the Design of Time-Delay Compensators
Vyacheslav Kungurtsev, Tim Mitchell, Tomas Vyhlidal

Partial smoothness of the numerical radius at matrices whose fields of values are disks
Adrian S. Lewis, Michael L. Overton

Global Optimization

Intersection cuts for factorable MINLP
Felipe Serrano

The convex hull of a quadratic constraint over a polytope
Asteroide Santana, Santanu Dey

Infinite Dimensional Optimization

Volumetric barrier decomposition algorithms for two-stage stochastic linear semi-infinite programming
Baha Alzalg, Asma Gafour, Lewa’ Alzaleq

On semi-infinite systems of convex polynomial inequalities and polynomial optimization problems
Feng Guo, Xiaoxia Sun

Integer Programming

Consistency for 0-1 programming
Danial Davarnia, John Hooker

Convergence of Finite-Dimensional Approximations for Mixed-Integer Optimization with Differential Equations
Falk M. Hante, Martin Schmidt

Insight into the computation of Steiner minimal trees in Euclidean space of general dimension
Marcia Fampa

Weighted Thresholding Homotopy Method for Sparsity Constrained Optimization
Wenxing Zhu, Huating Huang, Lanfan Jiang, Jianli Chen

Adaptive Large Neighborhood Search for Mixed Integer Programming
Gregor Hendel

The Noncooperative Fixed Charge Transportation Problem
Nathan Sudermann-Merx, Simone Sagratella, Marcel Stefan Schmidt

Submodularity in conic quadratic mixed 0-1 optimization
Alper Atamturk, Andres Gomez

Successive Quadratic Upper-Bounding for Discrete Mean-Risk Minimization and Network Interdiction
Alper Atamturk, Carlos Deck, Hyemin Jeon

Linear, Cone and Semidefinite Programming

A dual spectral projected gradient method for log-determinant semidefinite problems
Takashi Nakagaki, Mituhiro Fukuda, Sunyoung Kim, Makoto Yamashita

A New Face Method for Linear Programming
Ping-Qi Pan

Network Optimization

A Linear Programming Based Approach to the Steiner Tree Problem with a Fixed Number of Terminals
Matias Siebert, Shabbir Ahmed, George Nemhauser

Nonlinear Optimization

A note on solving nonlinear optimization problems in variable precision
Serge Gratton, Philippe L. Toint

On High-order Model Regularization for Multiobjective Optimization
L. Calderón, M.A. Diniz-Ehrhardt, J.M. Martínez

A Single Time-Scale Stochastic Approximation Method for Nested Stochastic Optimization
Saeed Ghadimi, Andrzej Ruszczynski, Mengdi Wang

Escaping local minima with derivative-free methods: a numerical investigation
Coralia Cartis, Lindon Roberts, Oliver Sheridan-Methven

Robust Optimization

Decomposition Methods for Solving Two-Stage Distributionally Robust Optimization Problems
Chen Yannan, Sun Hailin, Xu Huifu

Stochastic Programming

Stochastic Hydro-thermal Unit Commitment via Multi-level Scenario Trees and Bundle Regularization
E. C. Finardi, R. D. Lobato, V. L. de Matos, C. Sagastizábal, A. Tomasgard

Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent
Lukáš Adam, Martin Branda

A stochastic approximation method for chance-constrained nonlinear programs
Rohit Kannan, James Luedtke

Parametric Simulation Optimization for Multistage Stochastic Programming
Saeed Ghadimi, Raymond Perkins, Warren Powell

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