UOBYQA

UOBYQA (Unconstrained Optimization BY Quadratic Approximation) is a numerical optimization algorithm by Michael J. D. Powell. It is also the name of… (More)
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Topic mentions per year

2002-2014
0120022014

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2014
2014
Recent years have seen increasing popularity of stochastic chemical kinetic models due to their ability to explain and model… (More)
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2012
2012
Recent years have seen increasing popularity of stochastic chemical kinetic models due to their ability to explain and model… (More)
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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… (More)
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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… (More)
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2005
2005
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  • 2005
Derivative-free optimization involves the methods used to minimize an expensive objective function when its derivatives are not… (More)
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2004
2004
This paper presents an algorithmic extension of Powell’s UOBYQA algorithm (”Unconstrained Optimization BY Quadratical… (More)
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Highly Cited
2002
Highly Cited
2002
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the… (More)
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