Exact(60)
(P[x t) | y,t_{0}]) is a functional of the function (x t)) conditioned on two scalars y and (t_{0}).
This yields a distinctive problem structure where long term average variables are determined by the expectation of a not necessarily concave functional of the resource allocation functions.
In this paper estimation of a linear functional of the indirectly observed regression function is considered, when a deterministic design is used.
The free energy is a function of the parameters and a functional of the approximating distribution q (x).
The characteristic function f can be considered as a functional of the path defined on Γ ⊗ Γ ˙.
In summary, the energy functional of the shells is expressed as a function of five displacement components firstly.
The FPM is based on considering the target function (here, the buckling load P) as a functional of the stochastic morphology.
Although the lemma seems somewhat inaccessible due to the integrals, we note that it provides an exact expression as a functional of the first- and second-hop fading density functions, regardless of the underlying distributions.
An equivalent energy functional of the original Mumford-Shah model was proposed in [11] via elliptic function approximation based on Gamma-convergence theory.
Mutual information is thus a functional of the joint distribution of X and Y.
So we have two possible formulations for the energy functional of the ε ∞ -minimizing problem.
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