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JAT
2010
171views more  JAT 2010»
15 years 1 months ago
Chebyshev approximation of the null function by an affine combination of complex exponential functions
We describe the theoretical solution of an approximation problem that uses a finite weighted sum of complex exponential functions. The problem arises in an optimization model for t...
Paul Armand, Joël Benoist, Elsa Bousquet
SIAMMAX
2010
113views more  SIAMMAX 2010»
15 years 1 months ago
Approximate Nullspace Iterations for KKT Systems
The aim of the paper is to provide a theoretical basis for approximate reduced SQP methods. In contrast to inexact reduced SQP methods, the forward and the adjoint problem accuraci...
Kazufumi Ito, Karl Kunisch, Volker Schulz, Ilia Gh...
WSC
2008
15 years 8 months ago
The mathematics of continuous-variable simulation optimization
Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variab...
Sujin Kim, Shane G. Henderson
STOC
2004
ACM
107views Algorithms» more  STOC 2004»
16 years 6 months ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys

Publication
334views
16 years 3 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis