Finding an ε-optimal regression subset

A. Bartkowiak

Displaying similar documents to “Finding an ε-optimal regression subset”

On the conjecture relating minimax and minimean complexity norms

Peter Růžička, Juraj Wiedermann (1979)

Aplikace matematiky

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Using counterexample it has been shown that an algorithm which is minimax optimal and over all minimax optimal algorithms is minimean optimal and has a uniform behaviour need not to be minimean optimal.

The extent to which linear problems have linear optimal algorithms

Edward W. Packel (1988)

Banach Center Publications

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A new algorithm for optimal solution of fixed charge transportation problem

Nermin Kartli, Erkan Bostanci, Mehmet Serdar Guzel (2023)

Kybernetika

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Fixed charge transportation problem (FCTP) is a supply chain problem. In this problem, in addition to the cost per unit for each transported product, a fixed cost is also required. The aim is to carry out the transportation process at the lowest possible cost. As with all supply chain problems, this problem may have one, two, or three stages. An algorithm that can find the optimal solution for the problem in polynomial time is not known, even if it is a single-stage problem. For this...

A conception of optimality for algorithms and its application to the optimal search for a minimum

A. Adamski, A. Korytowski, W. Mitkowski (1977)

Applicationes Mathematicae

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Experience in computing optimal regression by branch and bound

A. Bartkowiak (1988)

Applicationes Mathematicae

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Development of the theory of optimal systems with delayed arguments in Georgia.

Kharatishvili, G., Tadumadze, T. (1997)

Memoirs on Differential Equations and Mathematical Physics

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A new algorithm for the three counterfeit coins problem.

Bošnjak, Ivica (1998)

Novi Sad Journal of Mathematics

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Optimal placement of electrodes in an electroporation process

Nicolae Cîndea, Benoît Fabrèges, Frédéric de Gournay, Clair Poignard (2010)

ESAIM: Proceedings

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Electroporation consists in increasing the permeability of a tissue by applying high voltage pulses. In this paper we discuss the question of optimal placement and optimal loading of electrodes such that electroporation holds only in a given open set of the domain. The electroporated set of the domain is where the norm of the electric field is above a given threshold value. We use a standard gradient algorithm to optimize the loading...

A new method based on least-squares support vector regression for solving optimal control problems

Mitra Bolhassani, Hassan Dana Mazraeh, Kourosh Parand (2024)

Kybernetika

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In this paper, a new application of the Least Squares Support Vector Regression (LS-SVR) with Legendre basis functions as mapping functions to a higher dimensional future space is considered for solving optimal control problems. At the final stage of LS-SVR, an optimization problem is formulated and solved using Maple optimization packages. The accuracy of the method are illustrated through numerical examples, including nonlinear optimal control problems. The results demonstrate that...