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It based on a direct minimization of an energy functional containing a minimal surface regularizer that uses fractional gradient.
Good methods for the minimization of an ℓ0-norm (sparsity) do not exist.
Most existing algorithms are based on the minimization of an L2-norm loss function.
The mesh is deformed under the minimization of an objective function.
Navigation component is based on the minimization of an quadratic Renyi entropy.
The idea is to apply a TV-based regularization function in an iterative minimization of an MLP neural net.
The optimal control problem was subject of an optimization criterion represented by the minimization of an objective function.
2 Minimization of an (L_1) norm of the second-order differences of model parameters and a Huber-weighted misfit measure.
Semi-automatic methods, like [41], consist in the minimization of an energy function starting from an initial manual guess.
A more complex example is performed involving the cost minimization of an unmanned undersea vehicle subjected to hydrostatic buckling.
The reliability-based optimization problem is formulated as the minimization of an objective function subject to multiple reliability constraints.
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