915 search results - page 8 / 183 » Convergence of Iterations |
SIAMMAX
2010
13 years 2 months ago
2010
The aim of the paper is to provide a theoretical basis for approximate reduced SQP methods. In contrast to inexact reduced SQP methods, the forward and the adjoint problem accuraci...
SIAMCO
2002
13 years 7 months ago
2002
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
SIAMSC
2008
13 years 7 months ago
2008
The correct formulation of numerical models for free-surface hydrodynamics often requires the solution of special linear systems whose coefficient matrix is a piecewise constant fu...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...