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A general error analysis for randomized low-rank approximation with application to data assimilation
However, despite the large variety of algorithms, the existing theoretical frameworks for their analysis rely on a specific structure for the covariance matrix that is not adapted to all the algorithms.
TREGO: a Trust-Region Framework for Efficient Global Optimization
By following a classical scheme for the trust region (based on a sufficient decrease condition), the proposed algorithm enjoys global convergence properties, while departing from EGO only for a subset of optimization steps.
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