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This result is very important for the uniqueness of the unknown coefficient k ( x ).
Then the solution enables us to determine the unknown coefficient a ( x, t ) approximately.
In applying SRSM, the most important task is to solve the unknown coefficient a i.
By solving the nonlinear system (17), we find the unknown coefficient.
In addition, (boldsymbol {w} (in mathcal {F})) is an unknown coefficient for ϕ(x).
where a i is an unknown coefficient (0 ≤ i ≤ z, z ∈ Z+).
Each ensemble member, and thus each curve feature, is weighted by an unknown coefficient.
In Section 2, determination of the unknown coefficient a ( x, t ) is given via the semigroup approach.
The likelihood function depends only on the unknown coefficient vector ß and can be maximized using standard methods.
In [23], the authors considered the problem of identifying an unknown coefficient in a nonlinear diffusion equation.
K is the number of Poisson wavelets, β i is an unknown coefficient, which should be estimated from the data.
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