A globally convergent incremental Newton method
Open Access
- 11 April 2015
- journal article
- research article
- Published by Springer Nature in Mathematical Programming
- Vol. 151 (1) , 283-313
Abstract
No abstract availableKeywords
All Related Versions
This publication has 23 references indexed in Scilit:
- Incrementally Updated Gradient Methods for Constrained and Regularized OptimizationJournal of Optimization Theory and Applications, 2013
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of MultipliersFoundations and Trends in Machine Learning, 2011
- A Convergent Incremental Gradient Method with a Constant Step SizeSIAM Journal on Optimization, 2007
- On‐line learning for very large data setsApplied Stochastic Models in Business and Industry, 2005
- A New Class of Incremental Gradient Methods for Least Squares ProblemsSIAM Journal on Optimization, 1997
- Incremental Least Squares Methods and the Extended Kalman FilterSIAM Journal on Optimization, 1996
- Serial and parallel backpropagation convergence via nonmonotone perturbed minimizationOptimization Methods and Software, 1994
- Inexact Newton MethodsSIAM Journal on Numerical Analysis, 1982
- A characterization of superlinear convergence and its application to quasi-Newton methodsMathematics of Computation, 1974
- A Stochastic Approximation MethodThe Annals of Mathematical Statistics, 1951