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The BER minimization problem was previously solved numerically in [23].
The solution to the minimization problem was therefore obtained iteratively using a Newton-type algorithm.
This error minimization problem was solved using a modified simulated annealing heuristic method.
This minimization problem was solved using the conjugate gradient method with the reconstruction space constrained within the torso of the animal.
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For this reason, a quadratic nonlinear minimization problem is set up to minimize the decomposition error for a given finite order constraint.
This profit minimization problem is a standard SOCP problem.
The minimization problem is solved by an iterative method.
The equivalent minimization problem is obtained in two steps.
The ℓ p -norm minimization problem is non-convex.
2.3, an application to the minimization problem is demonstrated.
This minimization problem is convex and not differentiable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com