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Considering a sequence of i.i.d.i.d
Several numerical schemes for the solution of hyperbolic conservation laws are based on exploiting the information obtained by considering a sequence of Riemann problems.
A classical tool to overcome this obstacle, usually applied in analogous problems, consists in considering a sequence of C 1 maps approximating f.
Considering a sequence of T independent training vectors X = { x → 1, …, x → T }, the normalized log-likelihood of the GMM is log p ( X | λ ) = 1 T ∑ t = 1 T log p ( x → t | λ ).
Aiming at making a scheduling plan with the lowest operating costs, the paper establishes a mixed-integer linear programming model, considering a sequence of operations, such as delivery, export, blending, fractionating and exchanging operations, and batch property differences of the same oil as well as influence of batch migration on contaminated volume.
If (mathcal{T}_{n}(Gamma;(0,j'))) is not a Lipschitz domain at O, we can prove (12) by considering a sequence of the Lipschitz domains (mathcal{T}_{n}(Gamma;(frac{1}{m},j'))) which converges to (mathcal{T}_{n}(Gamma;(0,j'))) as (mrightarrowinfty).
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Consider a sequence of mappings on defined by (3.1).
We consider a sequence of positive weights such that and,.
Consider a sequence of maps (f n ) n≥0 given by.
and consider a sequence of the following approximation problems: (Pn).
Consider a sequence of linear operators (T_{n}: C[a, b]rightarrow C[a,b]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com