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{{math-stub}} It will be nice if more detail is added. See gradient descent for an example. |
Clarify the idea of predictor-corrector |
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'''Mehrotra's predictor-corrector method''' in [[optimization]] is an implementation of [[interior point method]]s. It was proposed in 1991 by Sanjay Mehrotra.
The idea is to first compute an optimizing search direction based on a first order term (predictor). The stepsize that can be taken in this direction is used to evaluate how much centrality correction is needed.
Therefore, the search direction is the sum of the predictor direction and the corrector direction.
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