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Maximum entropy reconstruction using derivative information part 2: computational results

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Summary.

Maximum entropy density estimation, a technique for reconstructing an unknown density function on the basis of certain measurements, has applications in various areas of applied physical sciences and engineering. Here we present numerical results for the maximum entropy inversion program based on a new class of information measures which are designed to control derivative values of the unknown densities.

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Authors and Affiliations

  1. Centre for Experimental and Constructive Mathematics, Simon Fraser University, Burnaby, BC V5A 1S6 , , , , , , CA

    J.M. Borwein & M.N. Limber

  2. Department of Combinatorics and Optimization, University of Waterloo, Waterloo, ONT N2L 3G1 , , , , , , CA

    A.S. Lewis

  3. Universit\"at Stuttgart, Mathematisches Institut B, Pfaffenwaldring 57, D-70550 Stuttgart, Germany , , , , , , DE

    D. Noll

Authors
  1. J.M. Borwein
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  2. A.S. Lewis
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  3. M.N. Limber
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  4. D. Noll
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Received January 3, 1994 / Revised version received May 25, 1994

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Borwein, J., Lewis, A., Limber, M. et al. Maximum entropy reconstruction using derivative information part 2: computational results . Numer. Math. 69, 243–256 (1995). https://doi.org/10.1007/s002110050090

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  • DOI: https://doi.org/10.1007/s002110050090

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