z-logo
Premium
Iterative continuous maximum‐likelihood reconstruction method
Author(s) -
Mülthei H. N.
Publication year - 1992
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.1670150405
Subject(s) - mathematics , convergence (economics) , divergence (linguistics) , iterative method , maximum likelihood , mathematical optimization , local convergence , algorithm , statistics , linguistics , philosophy , economics , economic growth
In this paper we continue our studying of the iterative maximum‐likelihood reconstruction method. We consider only the continuous case and show some convergence properties of the algorithm. In the discrete case convergence has already been proved. An example demonstrating divergence of the iterative method shows how to handle the continuous case.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here