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ALT
2004
Springer
16 years 3 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 8 months ago
A Hamiltonian approximation method for the reduction of controlled systems
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
Siep Weiland
ESANN
2006
15 years 8 months ago
Determination of the Mahalanobis matrix using nonparametric noise estimations
In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
Amaury Lendasse, Francesco Corona, Jin Hao, Nima R...
COLOGNETWENTE
2009
15 years 7 months ago
Integer Programming with 2-Variable Equations and 1-Variable Inequalities
We present an efficient algorithm to find an optimal integer solution of a given system of 2-variable equalities and 1-variable inequalities with respect to a given linear objectiv...
Manuel Bodirsky, Gustav Nordh, Timo von Oertzen
EOR
2008
85views more  EOR 2008»
15 years 6 months ago
The Linear Ordering Problem with cumulative costs
Several optimization problems require finding a permutation of a given set of items that minimizes a certain cost function. These problems are naturally modelled in graph-theory t...
Livio Bertacco, Lorenzo Brunetta, Matteo Fischetti