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    SAT
    2010
    Springer
    172views Hardware» more  SAT 2010»
    On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
    13 years 5 months ago
    On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
    Download  www.cs.toronto.edu
    Algorithms based on local search are popular for solving many optimization problems including the maximum satisfiability problem (MAXSAT). With regard to MAXSAT, the state of the ...
    Denis Pankratov, Allan Borodin
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    SIAMCO
    2010
    116views more  SIAMCO 2010»
    Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle
    13 years 5 months ago
    Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle
    Download  www.math.carleton.ca
    We consider linear-quadratic-Gaussian (LQG) games with a major player and a large number of minor players. The major player has a significant influence on others. The minor playe...
    Minyi Huang
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    SIAMJO
    2010
    83views more  SIAMJO 2010»
    The Lifted Newton Method and Its Application in Optimization
    13 years 5 months ago
    The Lifted Newton Method and Its Application in Optimization
    Download  homes.esat.kuleuven.be
    Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
    Jan Albersmeyer, Moritz Diehl
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    SIGMOD
    2010
    ACM
    208views Database» more  SIGMOD 2010»
    An automated, yet interactive and portable DB designer
    13 years 5 months ago
    An automated, yet interactive and portable DB designer
    Download  infoscience.epfl.ch
    Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it ...
    Ioannis Alagiannis, Debabrata Dash, Karl Schnaitte...
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    TROB
    2010
    129views more  TROB 2010»
    A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
    13 years 5 months ago
    A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
    Download  web.mit.edu
    —Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
    Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
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