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Description
Currently, the step size gamma
parameter can only decrease, eg at
gamma, state.g_z = backtrack_stepsize!( |
However, sometimes larger step sizes can be performed at some point during iteration.
I tried doing
state.gamma *= 1.02
in the iteration loop, and seem to get ~2x faster convergence on some problems.Gamma vs iterations plot looks like this:

Does this modification make sense in general? For some algorithms?
Should it be included into the package implementation itself?
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