Based on these primary methods of weight optimization the so-called secondary weight improvement methods can find the remedy.
Very few of the existing methods can find a globally optimal solution when the objective functions are non-convex and non-differentiable.
The results show that these methods can find the pre-defined substructures in synthetic networks and real splits observed in real-world networks.
Just as creep-and-probe methods can find quick technological improvements, though, the brute force demining of open spaces, like field and paddy, can also profit almost at once by the adoption of simple technical improvements.
It was shown that all of the three considered methods can find their usefulness in the optimisation process of power plant thermal cycle giving the rise in the efficiency by about 0.34 percentage points.
these methods can find difficulties in real-life scenes involving crowds due the large amounts of occlusions and to the shadows casted by moving objects, which turn the object initialization and tracking into a hard problem to solve.
