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UOBYQA

UOBYQA (Unconstrained Optimization BY Quadratic Approximation) is a numerical optimization algorithm by Michael J. D. Powell. It is also the name of… Expand
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2016
2016
In this paper a new generation line-focusing solar plants coupled to a s-CO2 Brayton power cycles are studied. These innovative… Expand
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2011
2011
Galaxy clusters present unique advantages for cosmological study. Here we collect a new sample of 10 lensing galaxy clusters with… Expand
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2010
2010
The thesis describes shortly the Time-of-Flight technology and also the experiments, algorithms and results for the registration… Expand
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2009
2009
The sample-path method is one of the most important tools in simulation-based optimization. The basic idea of the method is to… Expand
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2009
2009
Derivative-free optimization involves the methods used to minimize an expensive objective functionwhen its derivatives are not… Expand
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2006
2006
In many real-world optimization problems, the objective function may come from a simulation evaluation so that it is (a) subject… Expand
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Highly Cited
2002
Highly Cited
2002
Abstract.UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of… Expand
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