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» On the Optimality of the Dimensionality Reduction Method
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MP
2010
135views more  MP 2010»
15 years 4 months ago
An inexact Newton method for nonconvex equality constrained optimization
Abstract We present a matrix-free line search algorithm for large-scale equality constrained optimization that allows for inexact step computations. For sufficiently convex problem...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
SIAMNUM
2010
150views more  SIAMNUM 2010»
15 years 27 days ago
Quasi-Optimal Convergence Rate of an Adaptive Discontinuous Galerkin Method
We analyze an adaptive discontinuous finite element method (ADFEM) for symmetric second order linear elliptic operators. The method is formulated on nonconforming meshes made of si...
Andrea Bonito, Ricardo H. Nochetto
ICCAD
2000
IEEE
188views Hardware» more  ICCAD 2000»
15 years 10 months ago
Bus Optimization for Low-Power Data Path Synthesis Based on Network Flow Method
— Sub-micron feature sizes have resulted in a considerable portion of power to be dissipated on the buses, causing an increased attention on savings for power at the behavioral l...
Sungpack Hong, Taewhan Kim
BMCBI
2008
157views more  BMCBI 2008»
15 years 6 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
AUSAI
2007
Springer
16 years 10 days ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan