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SIAMJO
2008
212views more  SIAMJO 2008»
15 years 6 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
SIAMJO
2008
79views more  SIAMJO 2008»
15 years 6 months ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
SIAMJO
2008
92views more  SIAMJO 2008»
15 years 6 months ago
A Trust Region Spectral Bundle Method for Nonconvex Eigenvalue Optimization
We present a nonsmooth optimization technique for nonconvex maximum eigenvalue functions and for nonsmooth functions which are infinite maxima of eigenvalue functions. We prove glo...
Pierre Apkarian, Dominikus Noll, O. Prot
PRL
2006
114views more  PRL 2006»
15 years 6 months ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
IJCM
2007
64views more  IJCM 2007»
15 years 6 months ago
Local defect correction in numerical simulation of surface remelting
We study the efficient numerical simulation of laser surface remelting, a process to improve the surface quality of steel components. To this end we use adaptive grids, which are...
Martijn Anthonissen