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MP
2007
75views more  MP 2007»
13 years 8 months ago
Solving maximum-entropy sampling problems using factored masks
We present a practical approach to Anstreicher and Lee’s masked spectral bound for maximum-entropy sampling, and we describe favorable results that we have obtained with a Branch...
Samuel Burer, Jon Lee
COCOS
2003
Springer
148views Optimization» more  COCOS 2003»
14 years 1 months ago
Convex Programming Methods for Global Optimization
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
John N. Hooker
IPCO
2010
153views Optimization» more  IPCO 2010»
13 years 6 months ago
An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
We present a branch-and-bound algorithm for minimizing a convex quadratic objective function over integer variables subject to convex constraints. In a given node of the enumerati...
Christoph Buchheim, Alberto Caprara, Andrea Lodi
ATAL
2010
Springer
13 years 9 months ago
The multi variable multi constrained distributed constraint optimization framework
Service coordination in domains involving temporal constraints and duration uncertainty has previously been solved with a greedy algorithm that attempts to satisfy service requests...
Christopher Portway, Edmund H. Durfee
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 24 days ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...