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    Variational algorithms for nonlinear smoothing applications (1977)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: A variational approach is presented for solving a nonlinear, fixed-interval smoothing problem with application to offline processing of noisy data for trajectory reconstruction and parameter estimation. The nonlinear problem is solved as a sequence of linear two-point boundary value problems. Second-order convergence properties are demonstrated. Algorithms for both continuous and discrete versions of the problem are given, and example solutions are provided.
    Keywords: STATISTICS AND PROBABILITY
    Type: NASA-TM-X-73211 , A-6939
    Format: application/pdf
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