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JOURNALS // Itogi Nauki i Tekhniki. Sovremennaya Matematika i ee Prilozheniya. Tematicheskie Obzory // Archive

Itogi Nauki i Tekhniki. Sovrem. Mat. Pril. Temat. Obz., 2021 Volume 200, Pages 115–125 (Mi into907)

Analysis of the convergence of the algorithm for constructing a convex regression dependence

A. A. Gudkov, S. P. Sidorov, K. A. Spiridonov

Saratov State University

Abstract: In this paper, to solve the problem of constructing a convex approximation to noisy data, we propose an algorithm for constructing convex regression using the active set approach. It is shown that the algorithm converges to the optimal solution and it is found the estimate of its complexity.

Keywords: nonlinear optimization, monotonic regression, convex regression, active set, segment regression.

UDC: 519.853, 519.65

MSC: 65K05, 65D10, 65D07

DOI: 10.36535/0233-6723-2021-200-115-125



© Steklov Math. Inst. of RAS, 2024