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An Optimal Approach to the Inverse Problem

  • W. Jeffrey
  • R. Rosner
Conference paper
Part of the International Astronomical Union / Union Astronomique Internationale book series (IAUS, volume 123)

Abstract

We describe how remote sensing problems can be reformulated within the framework of optimization theory. This reformulation allows any prior knowledge about the solution to be naturally incorporated into the solution process. The inversion problem then reduces to a search for the global extremum in the possible presence of local extrema. Two algorithms are presented that can be used to solve this global optimization problem, and their application to the helioseismology inverse problem is detailed.

Keywords

Inverse Problem Global Minimum Conjugate Gradient Method Rotation Curve Global Optimization Problem 
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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References

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Copyright information

© International Astronomical Union 1988

Authors and Affiliations

  • W. Jeffrey
    • 1
  • R. Rosner
    • 1
  1. 1.Harvard-Smithsonian Center for AstrophysicsCambridgeUSA

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