Chris L. Farmer

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This paper proposes a hierarchical nonlinear approximation scheme for scalar-valued multivariate functions, where the main objective is to obtain an accurate approximation with using only very few function evaluations. To this end, our iterative method combines at any refinement step the selection of suitable evaluation points with kriging, a standard(More)
Neither the Council nor the Laboratory accept any responsibility for loss or damage arising from the use of information contained in any of their reports or in any communication about their tests or investigations. ABSTRACT We present a branch and bound algorithm for the global optimization of a twice differentiable nonconvex objective function with a(More)
The bacterial core genome is of intense interest and the volume of whole genome sequence data in the public domain available to investigate it has increased dramatically. The aim of our study was to develop a model to estimate the bacterial core genome from next-generation whole genome sequencing data and use this model to identify novel genes associated(More)
SUMMARY One is often faced with the problem of finding the optimal location and trajectory for an oil well. Increasingly this includes the additional complication of optimising the design of a multilateral well. We present a new approach based on the theory of expensive function optimisation. The key idea is to replace the underlying expensive function (ie.(More)
We propose application of Bayes linear methodology to uncertainty evaluation in reservoir forecasting. On the basis of this statistical model, effective emulators are constructed. The resulting statistical method is illustrated by application to a commonly used test case scenario, called PUNQS [11]. A statistical data analysis of different output responses(More)
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