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Optimization Online Digest — February 2014

Applications — OR and Management Sciences

Minimum Cost Path Problem for Plug-in Hybrid Electric Vehicles
Okan Arslan, Baris Yildiz, Oya Ekin Karasan

Planning for Mining Operations with Time and Resource Constraints
Nir Lipovetzky, Christina N. Burt, Adrian R. Pearce, Peter J. Stuckey

Bound Improvement for LNG Inventory Routing
Yufen Shao, Kevin Furman, Vikas Goel, Samid Hoda

Reclaimer Scheduling: Complexity and Algorithms
Enrico Angelelli, Thomas Kalinowski, Reena Kapoor, Martin Savelsbergh

Joint Variable Selection for Data Envelopment Analysis via Group Sparsity
Zhiwei (Tony) Qin, Irene Song

Applications — Science and Engineering

Sparsity Optimization in Design of Multidimensional Filter Networks
Mats Andersson, Oleg Burdakov, Hans Knutsson, Spartak Zikrin

Combinatorial Optimization

Generating subtour constraints for the TSP from pure integer solutions
Ulrich Pferschy, Rostislav Staněk

Nonmonotone GRASP
M. De Santis, P. Festa, G. Liuzzi, S. Lucidi, F. Rinaldi

Complementarity and Variational Inequalities

Superlinearly convergent smoothing Newton continuation algorithms for variational inequalities over definable sets
Chek Beng Chua, Le Thi Khanh Hien

Convex and Nonsmooth Optimization

Feasibility-Seeking and Superiorization Algorithms Applied to Inverse Treatment Planning in Radiation Therapy
Ran Davidi, Yair Censor, Reinhard W. Schulte, Sarah Geneser, Lei Xing

String-Averaging Expectation-Maximization for Maximum Likelihood Estimation in Emission Tomography
Elias S. Helou Helou, Yair Censor, Tai-Been Chen, I-Liang Chern, Álvaro Rodolfo De Pierro, Ming Jiang, Henry Horng-Shing Lu

OSGA: A fast subgradient algorithm with optimal complexity
Arnold Neumaier

Optimal subgradient algorithms with application to large-scale linear inverse problems
Masoud Ahookhosh

An Accelerated Linearized Alternating Direction Method of Multipliers
Yuyuan Ouyang, Yunmei Chen, Guanghui Lan, Eduardo Pasiliao Jr.

Problem Formulations for Simulation-based Design Optimization using Statistical Surrogates and Direct Search
Bastien Talgorn, Sébastien Le Digabel, Michael Kokkolaras

On the Maximal Extensions of Monotone Operators and Criteria for Maximality
A Eberhard, R Wenczel

Provable Low-Rank Tensor Recovery
Bo Huang, Cun Mu, John Wright, Donald Goldfarb

Forward-backward truncated Newton methods for convex composite optimization
Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad

A Family of Subgradient-Based Methods for Convex Optimization Problems in a Unifying Framework
Masaru Ito, Mituhiro Fukuda

Global Optimization

Global optimization on the torus, the sphere and the rotation group
Manuel Gräf, Ralf Hielscher

Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization
Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli

Deriving the convex hull of a polynomial partitioning set through lifting and projection
Trang T. Nguyen, Jean-Philippe P. Richard, Mohit Tawarmalani

Integer Programming

The continuous knapsack set
Sanjeeb Dash, Oktay Gunluk, Wolsey Laurence

Decomposition Approaches for Optimizing Integrated Job Allocation and Scheduling with a Joint Chance Constraint
Yan Deng, Siqian Shen

Linear, Cone and Semidefinite Programming

An improved Kalai-Kleitman bound for the diameter of a polyhedron
Michael J. Todd

Nonlinear Optimization

On Calmness of the Argmin Mapping in Parametric Optimization Problems
Diethard Klatte, Bernd Kummer

A trust-region derivative-free algorithm for constrained optimization
Paulo Conejo, Elizabeth Karas, Lucas Pedroso

A derivative-free trust-funnel method for equality-constrained nonlinear optimization
Phillipe Sampaio, Philippe Toint

SQP Methods for Parametric Nonlinear Optimization
Vyacheslav Kungurtsev, Moritz Diehl

Robust Optimization

Polyhedral Approximation of Ellipsoidal Uncertainty Sets via Extended Formulations - a computational case study -
Andreas Bärmann, Andreas Heidt, Alexander Martin, Sebastian Pokutta, Christoph Thurner

The Multi-Band Robust Knapsack Problem -- A Dynamic Programming Approach --
Grit Claßen, Arie M.C.A. Koster, Anke Schmeink

Stochastic Programming

Applying oracles of on-demand accuracy in two-stage stochastic programming - a computational study
Christian Wolf, Csaba Fábián, Achim Koberstein, Leena Suhl

Chance-constrained problems and rare events: an importance sampling approach
Javiera Barrera, Tito Homem-de-Mello, Eduardo Moreno, Bernardo K. Pagnoncelli, Gianpiero Canessa


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