Numerische Mathematik

, Volume 69, Issue 3, pp 243–256 | Cite as

Maximum entropy reconstruction using derivative information part 2: computational results

  • J.M. Borwein
  • A.S. Lewis
  • M.N. Limber
  • D. Noll

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.

Mathematics Subject Classification (1991): 65U05; 65K10 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • J.M. Borwein
    • 1
  • A.S. Lewis
    • 2
  • M.N. Limber
    • 1
  • D. Noll
    • 3
  1. 1.Centre for Experimental and Constructive Mathematics, Simon Fraser University, Burnaby, BC V5A 1S6 CA
  2. 2.Department of Combinatorics and Optimization, University of Waterloo, Waterloo, ONT N2L 3G1 CA
  3. 3.Universit\"at Stuttgart, Mathematisches Institut B, Pfaffenwaldring 57, D-70550 Stuttgart, Germany DE

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