Gradient method with multiple damping for large-scale unconstrained optimization
Gradient methods are popular due to the fact that only gradient of the objective function is required. On the other hand, the methods can be very slow if the objective function is very ill-conditioned. One possible reason for the inefficiency of the gradient methods is that a constant criterion, whi...
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| Format: | Article |
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Springer
2019
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