On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization
Copyright policy ) LUCIDI, Stefano; M. SCIANDRONE;
On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization
This paper establishes a general convergence theory for unconstrained optimization without derivatives. The authors present new globally convergent algorithms which combine pattern and line search approaches.
Italy
Numerical optimization and variational techniques, unconstrained minimization; derivative-free methods, Derivative-free methods and methods using generalized derivatives, derivative-free methods, optimization, unconstrained minimization
Numerical optimization and variational techniques, unconstrained minimization; derivative-free methods, Derivative-free methods and methods using generalized derivatives, derivative-free methods, optimization, unconstrained minimization
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selected citations
Citations provided by BIP!
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! 54
Top 10%
Top 10%
Top 10%
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