Reconstruction from X-Rays

  • K. T. Smith
  • S. L. Wagner
  • R. B. Guenther
  • D. C. Solmon
Part of the The IBM Research Symposia Series book series (IRSS)


According to T.J. Rivlin (these Proc.) “The problem of optimal recovery is that of approximating as effectively as possible a given map of any function known to belong to a certain class from limited and possibly error-contaminated information about it.” More precisely, in the scheme envisioned by Rivlin there are given spaces X of possible objects, Y of possible data, and Z of possible reconstructions of certain features of the objects.


Density Function Reconstruction Method Inversion Formula Finite Dimensional Space Optimal Recovery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
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Copyright information

© Springer Science+Business Media New York 1977

Authors and Affiliations

  • K. T. Smith
    • 1
  • S. L. Wagner
    • 1
  • R. B. Guenther
    • 1
  • D. C. Solmon
    • 2
  1. 1.Oregon State UniversityCorvallisUSA
  2. 2.State University of New York at BuffaloNew YorkUSA

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