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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...
CAV
2003
Springer
108views Hardware» more  CAV 2003»
13 years 10 months ago
Linear Invariant Generation Using Non-linear Constraint Solving
Abstract. We present a new method for the generation of linear invariants which reduces the problem to a non-linear constraint solving problem. Our method, based on Farkas’ Lemma...
Michael Colón, Sriram Sankaranarayanan, Hen...
STOC
2004
ACM
102views Algorithms» more  STOC 2004»
14 years 5 months ago
A simple polynomial-time rescaling algorithm for solving linear programs
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
John Dunagan, Santosh Vempala
DIS
2010
Springer
13 years 2 months ago
Sparse Substring Pattern Set Discovery Using Linear Programming Boosting
In this paper, we consider finding a small set of substring patterns which classifies the given documents well. We formulate the problem as 1 norm soft margin optimization problem ...
Kazuaki Kashihara, Kohei Hatano, Hideo Bannai, Mas...
SIAMJO
2000
116views more  SIAMJO 2000»
13 years 4 months ago
Computational Experience with an Interior Point Cutting Plane Algorithm
There has been a great deal of success in the last twenty years with the use of cutting plane algorithms to solve specialized integer programming problems. Generally, these algori...
John E. Mitchell