Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Characterization of Elfving's Method for High Dimensional
  Computation   We give a new characterization of Elfving's (1952) method for computing
c-optimal designs in k dimensions which gives explicit formulae for the k
unknown optimal weights and k unknown signs in Elfving's characterization. This
eliminates the need to search over these parameters to compute c-optimal
designs, and thus reduces the computational burden from solving a family of
optimization problems to solving a single optimization problem for the optimal
finite support set. We give two illustrative examples: a high dimensional
polynomial regression model and a logistic regression model, the latter showing
that the method can be used for locally optimal designs in nonlinear models as
well.

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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
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The categories of this paper are: math-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg
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The categories of this paper are: comp-gas
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The categories of this paper are: cmp-lg
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The categories of this paper are: bayes-an
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The categories of this paper are: physics
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th