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IPCO
2008
221views Optimization» more  IPCO 2008»
13 years 6 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...
AUTOMATICA
2007
72views more  AUTOMATICA 2007»
13 years 5 months ago
A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs
ust control problems can be formulated in abstract form as convex feasibility programs, where one seeks a solution x that satisfies a set of inequalities of the form F . = {f (x,...
Giuseppe C. Calafiore, Fabrizio Dabbene
IOR
2010
86views more  IOR 2010»
13 years 3 months ago
Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse
This paper introduces disjunctive decomposition for two-stage mixed 0-1 stochastic integer programs (SIPs) with random recourse. Disjunctive decomposition allows for cutting plane...
Lewis Ntaimo
SIAMJO
2010
135views more  SIAMJO 2010»
13 years 3 months ago
On the Complexity of Selecting Disjunctions in Integer Programming
The imposition of general disjunctions of the form “πx ≤ π0 ∨ πx ≥ π0 + 1”, where π, π0 are integer valued, is a fundamental operation in both the branch-and-bound...
Ashutosh Mahajan, Ted K. Ralphs
IOR
2011
152views more  IOR 2011»
13 years 7 days ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski