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比利时vs摩洛哥足彩
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比利时vs摩洛哥足彩
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university of california san diego
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math 278c - optimization seminar and data science
ruixue zhao
shanghai jiaotong university
on a global complexity bound of the levenberg-marquardt method
abstract:
in this paper, we propose a new updating rule of the levenberg–marquardt (lm) parameter for the lm method for nonlinear equations. we show that the global complexity bound of the new lm algorithm is $o(\epsilon^{-2})$, that is, it requires at most $o(\epsilon^{-2})$ iterations to derive the norm of the gradient of the merit function below the desired accuracy $\epsilon$.
host: jiawang nie
november 1, 2017
4:00 pm
ap&m 2402
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