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Then the optimization problem with color channel constraints is solved by using the classical gradient technique.
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The results obtained from the strain gradient theory are compared to those estimated using the classical elasticity.
and by using the classical inequality (7.23).
MSC were isolated using the classical adhesion method.
These discrete weak gradients are used to approximate the classical gradient when solving the Darcy equation.
When letting α=1, then model (1) degrades to the classical gradient fidelity model as used in [12, 13, 15].
We also note that we use the functional that contains gradient of a fractional order, in order to gain all benefits of fractional approach (see [10]), in comparison to the classical gradient method or the methods of higher order, as it is previously explained.
However, in [35], the boundary information is also represented by the classical gradient.
Both methods give results much better than the classical gradient optimization method.
The relaxed CQ algorithm [4] can be seen as a special case of the classical gradient projection method (GPM).
The multislope approach reveals less expensive and potentially more accurate than the classical gradient techniques.
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