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Therefore, it is considered as a computationally feasible approximation to the ℓ 0-norm of x.
The value -Θ∗, or any feasible approximation -Θ to it, is thus an upper bound to the optimum value of the primal problem U∗.
A general proportionality factor can be considered as a feasible approximation for comparing the results, as only few of the contaminants commonly measured will require a substance-specific conversion factor.
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To attack this ℓ 0-norm optimization problem, a common approach that appeared in recent literature is to approximate the ℓ 0-norm by its computationally feasible approximations.
None of these problems is known to have an algorithm that is faster than exponential time, although some NP-complete problems admit feasible approximations to their solutions.
The findings show that predicting if a question will end up in the Dark Side is feasible, although with some approximation, without relying on content features.
Therefore, in order to show that the eigenvalue approximation is feasible, we should be able to find a γ ≥ 0 for the approximated beamforming vectors such that all above inequalities are satisfied.
For (Q ge D = 100) this approximation is feasible for (0.06 le theta le 0.94) because for these values the condition (Q cdot theta cdot left( {1 - theta } right) > 5) is satisfied.
Because shorter paths are more feasible, as a first approximation the shortest path length between A and B in the PIN can be used as a reliability score for the integrated link.
Computers and Chemical Engineering, 28, 1771], for solving deterministic MINLP problems and is based on the idea of representing the feasible region by a close approximation of its convex hull.
(R_{s_{u_{[k]}},n,2}^{k,text {SC}}) can then be approximated using the first order Taylor approximation at a feasible point (overline {P_{s_{u_{[k]}},n}^{k}}), in order to have a convex optimization problem.
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