Sentence examples for values can be reconstructed from inspiring English sources
This core-top investigation shows that realistic δ 18Osw values can be reconstructed by the Mg/Ca temperature calibration of Hastings et al. (2001) and the δ 18Oc temperature equation of Bemis et al. (1998), although δ 18Osw estimates introduce a large error.
By choosing the reconstruction grid to include the point of interest, a high order function value can be reconstructed using only positive linear weights.
The value exchange can be reconstructed by connecting both columns.
In expected utility theory, the quantitative relationship between utility and physical value, U x), can be reconstructed from choices under risk [ 3].
From such a model, the values of the unknown variables y can be reconstructed as the most probable ones given the available evidence x.
Then F is an entire function of exponential type that can be reconstructed from its values at the points { λ n } n = − ∞ ∞ via the sampling formula F = ∑ n = − ∞ ∞ F ( λ n ) ω ( λ − λ n ) ω ′ ( λ n ).
Then (F lambda)) is an entire function of exponential type that can be reconstructed from its values at the points ({lambda_{n}}_{n=-infty}^{infty}) via the sampling formula F lambda)=sum_{n=-infty}^{infty}F( lambda_{n})frac{Omega (lambda)}{ (lambda-lambda_{n} Omega^{prime}(lambda-lambda_{n} Omega^{prime
Then (mathcal{F}(lambda)) is an entire function of exponential type that can be reconstructed from its values at the points ({lambda_{n}}_{n=-infty}^{infty}) via the sampling formula mathcal{F}(lambda)=sum_{n=-infty}^{infty} mathcal{F}(lambda _{n})frac{omega(lambda)}{ (lambda-lambda_{n})omega^{prime}(lambda_{n})}.
Then F is an entire function of exponential type ( b − a ) that can be reconstructed from its values at the points { λ n } n = 0 ∞ via the sampling formula F = ∑ n = 0 ∞ F ( λ n ) ω ( λ − λ n ) ω ′ ( λ n ).
According to the MIP, for a small value of μ(A), the sparse signal can be reconstructed with high probability.
A model for a distance function containing certain parameters is called identifiable if the parameters can be reconstructed from the (exact) values of the distance function.
