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ASAP
2005
IEEE
142views Hardware» more  ASAP 2005»
13 years 11 months ago
Decimal Floating-Point Square Root Using Newton-Raphson Iteration
With continued reductions in feature size, additional functionality may be added to future microprocessors to boost the performance of important application domains. Due to growth...
Liang-Kai Wang, Michael J. Schulte
ASAP
2004
IEEE
140views Hardware» more  ASAP 2004»
13 years 9 months ago
Decimal Floating-Point Division Using Newton-Raphson Iteration
Decreasing feature sizes allow additional functionality to be added to future microprocessors to improve the performance of important application domains. As a result of rapid gro...
Liang-Kai Wang, Michael J. Schulte
ICASSP
2010
IEEE
13 years 5 months ago
An online quasi-Newton algorithm for blind SIMO identification
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
Emanuel A. P. Habets, Patrick A. Naylor
CORR
2011
Springer
206views Education» more  CORR 2011»
13 years 13 days ago
Convergence analysis of a proximal Gauss-Newton method
Abstract An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Co...
Saverio Salzo, Silvia Villa
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
13 years 11 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti