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Exact(10)
"Administration officials should do that themselves and send us an approximation of the cost".
To satisfy the volume constraint effectively, the Lagrangian multiplier derived from the first-order approximation of the cost function is amended by the bisection algorithm.
Specifically at each iteration I, the strong classifier is updated as where the weak classifier is selected in order to minimize the second-order approximation of the cost function in (9) as follows: (10).
This is due to the model of the processor that has been loaded on VIPPE and to the approximation of the cost of each instruction equal to one clock cycle.
The worse results of sc-NTF may be attributed to the nature of NTF that greedily exploits not only spatial information, but also time-frequency information for the approximation of the cost function.
Second-order methods are commonly used, where the local approximation of the cost function by a quadratic form is given by E ( w + dw ) ≈ E ( w ) + ∇ E ( w ) T dw + 1 2 d w T ∇ 2 E ( w ) dw, (7).
Similar(50)
The bootstrap procedure gave us an approximation of the cost-effect joint densities (Figs. 1 and 2).
In this section, we characterize the performance of the sparse approximation of the cost-to-go function proposed herein.
One potential problem of this approach is the lack of robustness when the simlllation data sparsely cover the state space and the data-based approximation of the cost-to-go function is extrapolated to a region previously unseen.
The cost of the typical "flu basket" was used to provide an approximation of the costs of self-medication.
To remove this dependency, we propose a new cost function, which is the Taylor's series approximation of the original cost function.
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CEO of Professional Science Editing for Scientists @ prosciediting.com