Multiplier and gradient methods
Copyright policy ) Hestenes, Magnus R.;
Multiplier and gradient methods
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- University of California, Los Angeles United States
Numerical optimization and variational techniques, Newton's method, method of conjugate gradients, gradient techniques, Lagrange multiplier, Newton-type methods, survey of known methods, minimum of a function subject to constraint, finding unconstrained minima
Numerical optimization and variational techniques, Newton's method, method of conjugate gradients, gradient techniques, Lagrange multiplier, Newton-type methods, survey of known methods, minimum of a function subject to constraint, finding unconstrained minima
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selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 2K
Top 0.1%
Top 0.01%
Top 10%
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