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» Converging on the Optimal Attainment of Requirements
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MP
2008
91views more  MP 2008»
13 years 9 months ago
The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
Defeng Sun, Jie Sun, Liwei Zhang
SAGT
2009
Springer
155views Game Theory» more  SAGT 2009»
14 years 3 months ago
Anarchy, Stability, and Utopia: Creating Better Matchings
We consider the loss in social welfare caused by individual rationality in matching scenarios. We give both theoretical and experimental results comparing stable matchings with soc...
Elliot Anshelevich, Sanmay Das, Yonatan Naamad
FOCI
2007
IEEE
14 years 3 months ago
On the Convergence of Immune Algorithms
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
ICCV
2003
IEEE
14 years 11 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 29 days ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...