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Optimization Online Digest — June 2007
Applications — OR and Management Sciences
Satisficing measures for analysis of risky positions
David B. Brown, Melvyn Sim
A MIP Approach for some Practical Packing Problems: Balancing Constraints and Tetris-like Items
giorgio fasano
MIP-based heuristic for non-standard 3D-packing problems
Giorgio Fasano
A new lower bound for one-machine earliness-tardiness scheduling
Francis Sourd
Partition Inequalities for Capacitated Survivable Network Design Based on Directed P-Cycles
Alper Atamturk, Deepak Rajan
An O(n^2) Algorithm for Lot Sizing with Inventory Bounds and Fixed Costs
Alper Atamturk, Simge Kucukyavuz
Applications — Science and Engineering
Graph Modeling for Quadratic Assignment Problem Associated with the Hypercube
jiming peng, Hans Mittelmann, Xiaolin Wu
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
M. A. T. Figueiredo, R. D. Nowak, S. J. Wright
Combinatorial Optimization
On the strength of cut-based inequalities for capacitated network design polyhedra
Christian Raack, Arie M.C.A. Koster, Roland Wessäly
Expressing Combinatorial Optimization Problems by Systems of Polynomial Equations and the Nullstellensatz
Jesus De Loera, Jon Lee, Susan Margulies, Shmuel Onn
Minimum weight t-composition of an integer
Domingos M. Cardoso, J. Orestes Cerdeira
Tractable algorithms for chance-constrained combinatorial problems
Olivier Klopfenstein
New Lower Bounds on the Stability Number of a Graph
E. Alper YILDIRIM
Complementarity and Variational Inequalities
An Algorithm for the Fast Solution of Linear Complementarity Problems
Jose Luis Morales, Jorge Nocedal, Mikhail Smelyanskiy
An iterative approach for cone complementarity problems for nonsmooth multibody dynamics
Mihai Anitescu, Alessandro Tasora
Convex and Nonsmooth Optimization
Necessary optimality condition for Nonsmooth Switching Control problem
Shahlar Maharramov
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
Smooth Optimization Approach for Covariance Selection
Zhaosong Lu
Global Optimization
Max-min separability: incremental approach and application to supervised data classification
Adil M Bagirov, Dean Webb, Bulent Karasozen
Integer Programming
Separation Algorithms for 0-1 Knapsack Polytopes
Konstantinos Kaparis, Adam Letchford
Improving a Formulation of the Quadratic Knapsack Problem
Daniel Grainger, Adam Letchford
Conic Mixed-Integer Rounding Cuts
Alper Atamturk, Vishnu Narayanan
A strong conic quadratic reformulation for machine-job assignment with controllable processing times
M. Selim Akturk, Alper Atamturk, Sinan Gurel
The Flow Set with Partial Order
Alper Atamturk, Muhong Zhang
Column basis reduction and decomposable knapsack problems
Bala Krishnamoorthy, Gabor Pataki
Linear, Cone and Semidefinite Programming
Exploiting group symmetry in semidefinite programming relaxations of the quadratic assignment problem
Etienne De Klerk, Renata Sotirov
Semidefinite Representation of Convex Sets
J. William Helton, Jiawang Nie
Symmetry in semidefinite programs
Frank Vallentin
Nonlinear Optimization
An implicit trust-region method on Riemannian manifolds
C. G. Baker, P.-A. Absil, K. A. Gallivan
A view of algorithms for optimization without derivatives
M.J.D. Powell
Convergence Analysis of an Interior-Point Method for Nonconvex Nonlinear Programming
Hande Y. Benson, Arun Sen, David F. Shanno
Developments of NEWUOA for unconstrained minimization without derivatives
M.J.D. Powell
A globally convergent trust-region SQP method without a penalty function for nonlinearly constrained optimization
Hiroshi Yamashita, Hiroshi Yabe
A primal-dual interior point method for nonlinear semidefinite programming
Hiroshi Yamashita, Hiroshi Yabe, Kouhei Harada
Robust Optimization
Explicit reformulations for robust optimization problems with general uncertainty sets
Igor Averbakh, Yun-Bin Zhao
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