September 2010
Applications - OR and Management Sciences
- Safe Feature Elimination in Sparse Supervised Learning
Laurent El Ghaoui, Tarek Rabbani, Vivian Viallon
Applications - Science and Engineering
- Minimax optimization for handling range and setup uncertainties in proton therapy
Anders Forsgren, Albin Fredriksson, Björn Hårdemark
Combinatorial Optimization
- A polynomial case of cardinality constrained quadratic optimization problem
Jianjun Gao, Duan Li - Burer’s Key Assumption for Semidefinite and Doubly Nonnegative Relaxations
Florian Jarre
Complementarity and Variational Inequalities
Convex and Nonsmooth Optimization
- An accelerated inexact proximal point algorithm for convex minimization
Bingsheng He, Xiao-Ming Yuan - An Introduction to a Class of Matrix Cone Programming
Chao Ding, Defeng Sun, Kim-Chuan Toh - Interior Point Methods for Computing Optimal Designs
Zhaosong Lu, Ting Kei Pong - Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Stephen Becker, Emmanuel Candès, Michael Grant
Integer Programming
- A Computational Study of the Cutting Plane Tree Algorithm for General Mixed-Integer Linear Programs
Binyuan Chen, Simge Küçükyavuz, Suvrajeet Sen - An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
Christoph Buchheim, Alberto Caprara, Andrea Lodi - An Empirical Evaluation of Walk-and-Round Heuristics for Mixed-Integer Linear Programs
Kuo-Ling Huang, Sanjay Mehrotra - Inclusion Certificates and Simultaneous Convexification of Functions
Mohit Tawarmalani - Lower bounds for the Chvátal-Gomory rank in the 0/1 cube
Sebastian Pokutta, Gautier Stauffer - Non-linear approximations for solving 3D-packing MIP models: a heuristic approach
Giorgio Fasano - Semidefinite Relaxations for Non-Convex Quadratic Mixed-Integer Programming
Christoph Buchheim, Angelika Wiegele
Linear, Cone and Semidefinite Programming
- On duality gap in linear conic problems
Constantin Zalinescu - Parallel solver for semidefinite programming problem having sparse Schur complement matrix
Katsuki Fujisawa, Mituhiro Fukuda, Kazuhide Nakata, Maho Nakata, Makoto Yamashita
Nonlinear Optimization
- Methods for Convex and General Quadratic Programming
Philip E. Gill, Elizabeth Wong - Trade-off studies in blackbox optimization
Charles Audet, John E. Dennis, Jr., Sébastien Le Digabel
Optimization Software and Modeling Systems
- PySP: Modeling and Solving Stochastic Programs in Python
William E. Hart, Jean-Paul Watson, David L. Woodruff
Other Topics
- Uniform bound on the 1-norm of the inverse of lower triangular Toeplitz matrices
Xin Liu, Sean McKee, Jinyun Yuan, Ya-xiang Yuan
Robust Optimization
- Consistency of robust optimization
Ralf Werner - Energy Security: a robust optimization approach to design a robust European energy supply via TIAM
Frédéric Babonneau, Jean-Philippe Vial, A Kanudia, L Labriet, R Loulou
Stochastic Programming
- Convex duality in stochastic programming and mathematical finance
Teemu Pennanen - Inexact Bundle Methods for Two-Stage Stochastic Programming
Welington de Oliveira, Claudia Sagastizábal, Susana Scheimberg - Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Peter L Bartlett, Martin J Wainwright, Pradeep Ravikumar