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Data regularization as an optimization problem

The Gauss-Markoff equation ([*]) is derived as a solution of an optimization problem - minimizing the model error covariance matrix. After simplifying this equation to the forms ([*]) and ([*]), we can again recast it as a solution to an optimization problem of a different kind. In fact, equations ([*]) and ([*]) correspond to two fundamentally different optimization formulations.



 
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Next: Model-space regularization Up: Fundamentals of data regularization Previous: Representing covariance matrices by
Stanford Exploration Project
12/28/2000