Constrained Interpolation from a Convex Set

  • Frank Deutsch
Part of the CMS Books in Mathematics / Ouvrages de mathématiques de la SMC book series (CMSBM)


In many problems that arise in applications, one is given certain function values or “data” along with some reliable evidence that the unknown function that generated the data has a certain shape. For example, the function may be nonnegative or nondecreasing or convex. The problem is to recover the unknown function from this information.


Hilbert Space Convex Subset Convex Cone Relative Interior Closed Convex Cone 
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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Copyright information

© Springer-Verlag New York, Inc. 2001

Authors and Affiliations

  • Frank Deutsch
    • 1
  1. 1.Department of MathematicsPennsylvania State UniversityUniversity ParkUSA

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