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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2013, Volume 53, Number 8, Pages 1272–1286
DOI: https://doi.org/10.7868/S0044466913080127
(Mi zvmmf9899)
 

This article is cited in 2 scientific papers (total in 2 papers)

On the attraction of Newton’s method to critical Lagrange multipliers

E. I. Uskov

M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Full-text PDF (322 kB) Citations (2)
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Abstract: The attraction of dual trajectories of Newton’s method for the Lagrange system to critical Lagrange multipliers is analyzed. This stable effect, which has been confirmed by numerical practice, leads to the Newton–Lagrange method losing its superlinear convergence when applied to problems with irregular constraints. At the same time, available theoretical results are of “negative” character; i.e., they show that convergence to a noncritical multiplier is not possible or unlikely. In the case of a purely quadratic problem with a single constraint, a “positive” result is proved for the first time demonstrating that the critical multipliers are attractors for the dual trajectories. Additionally, the influence exerted by the attraction to critical multipliers on the convergence rate of direct and dual trajectories is characterized.
Key words: optimization problem with equality constraints, Newton–Lagrange method, critical Lagrange multipliers.
Received: 28.02.2013
English version:
Computational Mathematics and Mathematical Physics, 2013, Volume 53, Issue 8, Pages 1099–1112
DOI: https://doi.org/10.1134/S0965542513080125
Bibliographic databases:
Document Type: Article
UDC: 519.626
Language: Russian
Citation: E. I. Uskov, “On the attraction of Newton’s method to critical Lagrange multipliers”, Zh. Vychisl. Mat. Mat. Fiz., 53:8 (2013), 1272–1286; Comput. Math. Math. Phys., 53:8 (2013), 1099–1112
Citation in format AMSBIB
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  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Æóðíàë âû÷èñëèòåëüíîé ìàòåìàòèêè è ìàòåìàòè÷åñêîé ôèçèêè Computational Mathematics and Mathematical Physics
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