Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients
The worst-case behaviour of a general class of regularization algorithms is considered in the case where only objective function values and associated gradient vectors are evaluated. Upper bounds are derived on the number of such evaluations that are needed for the algorithm to produce an approximat...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
Taylor and Francis
2017
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