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If decreasing, chances of getting trapped in a local minima is increased.
If increasing, chances of getting trapped in a local minima is decreased.
In these cases spontaneous liposomes can form as metastable aggregates, showing as a local minima in the free energy.
In addition, it requires very good initialization (i.e. roughly aligned surfaces), otherwise it might get trapped in a local minima.
If the minimization starts from initial conditions inside a local minima basin, the pose estimation will be incorrect.
Under such annealing, the surface of the Ge structures deform by surface diffusion to form smooth, rounded shapes for which the surface energy is at a local minima.
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Thus, x = −1 is a local maximum, and x = 1 is a local minimum.
Therefore x ¯ is indeed a local minimum.
These algorithms can get stuck at a local minimum.
Further suppose that I possesses a local minimum (x_{1}).
Specifically, a local minimum is sought by letting (19).
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