@inproceedings{f875d02c336946c7b799ed481e978345,
title = "Adaptive optimization with constraints: Convergence and oscillatory behaviour",
abstract = "The problem of adaptive minimization of globally unknown functionals under constraints on the independent variable is considered in a stochastic framework. The CAM algorithm for vector problems is proposed. By resorting to the ODE analysis for analysing stochastic algorithms and singular perturbation methods, it is shown that the only possible convergence points are the constrained local minima. Simulation results in 2 dimensions illustrate this result.",
author = "Coito, {Fernando J.} and Lemos, {Jo{\~a}o M.}",
year = "2005",
month = sep,
day = "30",
language = "English",
isbn = "3-540-26154-0",
volume = "3523",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "19--26",
editor = "Marques, {J. S.} and {Perez de la Blanca}, N. and P. Pina",
booktitle = "PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS",
address = "Germany",
edition = "II",
note = "Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 ; Conference date: 07-06-2005 Through 09-06-2005",
}