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MP
2008
91views more  MP 2008»
13 years 7 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
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 4 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...
CP
2009
Springer
14 years 8 months ago
Constraints of Difference and Equality: A Complete Taxonomic Characterisation
Abstract. Many combinatorial problems encountered in practice involve constraints that require that a set of variables take distinct or equal values. The AllDifferent constraint, i...
Emmanuel Hebrard, Dániel Marx, Barry O'Sull...
AMAI
2004
Springer
14 years 1 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
AAAI
2010
13 years 9 months ago
Exploiting Monotonicity in Interval Constraint Propagation
We propose in this paper a new interval constraint propagation algorithm, called MOnotonic Hull Consistency (Mohc), that exploits monotonicity of functions. The propagation is sta...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu