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» A MAX-CUT formulation of 0 1 programs
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APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
13 years 6 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 4 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
CPM
2000
Springer
160views Combinatorics» more  CPM 2000»
13 years 9 months ago
Approximation Algorithms for Hamming Clustering Problems
We study Hamming versions of two classical clustering problems. The Hamming radius p-clustering problem (HRC) for a set S of k binary strings, each of length n, is to find p bina...
Leszek Gasieniec, Jesper Jansson, Andrzej Lingas
HYBRID
2007
Springer
13 years 11 months ago
Optimal Switches in Multi-inventory Systems
Given a switched multi–inventory system we wish to find the optimal schedule of the resets to maintain the system in a safe operating interval, while minimizing a function relat...
Dario Bauso
CONSTRAINTS
2007
112views more  CONSTRAINTS 2007»
13 years 4 months ago
Maxx: Test Pattern Optimisation with Local Search Over an Extended Logic
In the ECAD area, the Test Generation (TG) problem consists in finding an input vector test for some possible diagnosis (a set of faults) of a digital circuit. Such tests may have ...
Francisco Azevedo