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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… 
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Papers overview

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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… 
2011
2011
Galaxy clusters present unique advantages for cosmological study. Here we collect a new sample of 10 lensing galaxy clusters with… 
2011
2011
Galaxy clusters present unique advantages for cosmological study. Here we collect a new sample of 10 lensing galaxy clusters with… 
2010
2010
The thesis describes shortly the Time-of-Flight technology and also the experiments, algorithms and results for the registration… 
Highly Cited
2009
Highly Cited
2009
The sample-path method is one of the most important tools in simulation-based optimization. The basic idea of the method is to… 
Highly Cited
2009
Highly Cited
2009
Abstract Derivative-free optimization (DFO) involves the methods used to minimize an expensive objective function when its… 
2006
2006
In many real-world optimization problems, the objective function may come from a simulation evaluation so that it is (a) subject… 
Highly Cited
2002
Highly Cited
2002
  • M. Powell
  • Math. Program.
  • 2002
  • Corpus ID: 12600144
Abstract.UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of…