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On minimax identification: method of dual optimization

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
The problem of minimax affine identification of a linear uncertain stochastic multivariate model is considered. The minimax optimization problem together with the corresponding dual one are stated and examined. The necessary and sufficient conditions for the minimax affine estimate to exist and to be determined analytically via the dual problem ...
A.R. Pankov   +2 more
openaire   +1 more source

Minimax optimization using quasi-newton methods

2005
The problem under consideration is that of minimizing the objective function $$F(\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{x} ) = \mathop {max}\limits_{l \leqslant j \leqslant m} f_j (\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{x} )$$ where {fj} is a set of m nonlinear, differentiable functions of n variables x ...
Jørgen Hald, Kaj Madsen
openaire   +1 more source

Minimax algorithms of weight Monte Carlo methods

Russian Journal of Numerical Analysis and Mathematical Modelling, 1989
Summary: Weight Monte Carlo algorithms are constructed with the minimax of the weight function which defines the variances of standard Monte Carlo estimation of linear functionals of the solution to an integral equation of the second kind. Uniform minimizations of the relative variance of the solution and of an averaged solution are considered as ...
openaire   +2 more sources

Method for the determination of the minimax

Cybernetics, 1987
The author transforms the determination of a minimax in finite dimensional spaces under compactness and convexity assumptions to the problem to integrate a certain associated implicit system of ordinary differential equations. The required solvability assumptions as well as appromation methods to solve the differential equation using regularization ...
openaire   +1 more source

Minimax optimal designs via particle swarm optimization methods

Statistics and computing, 2014
Ray‐Bing Chen   +4 more
semanticscholar   +1 more source

Local Privacy and Statistical Minimax Rates

IEEE Annual Symposium on Foundations of Computer Science, 2013
John C. Duchi   +2 more
semanticscholar   +1 more source

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