Sentence examples for approximation in practice from inspiring English sources

However, data such as those shown in Fig. 2, which presents admission haemoglobin concentrations from intensive care patients, often provide an excellent approximation in practice.

The following simple greedy algorithm [a special case of the algorithm proposed in (Bar-Noy et al., 2001)] can be shown to be a 2-approximation: In practice we expect the greedy algorithm to return much better solutions than the provable 2-approximation bound.

Assumptions such as these are usually approximations in practice.

Although a closed-form optimal solution is available for the convex reformulation, such an approximation at high SNR regions does not always hold in practice.

To evaluate the performance of the sequential matrix approximation procedure in practice, we applied it to a recent high-resolution genetic interaction study of St Onge et al. [10].

Thus, some approximation is needed in practice.

The point density of each cluster can be estimated by dividing the number of points in the clusters by the area of the bounding box of the cluster; this approximation works well in practice, but if more precision was needed, it could be achieved by computing the convex hull of the cluster and dividing the number of points by its area.

The simulations based on the real study illustrate that the bias approximations work well in practice.

We will show through simulations that this simple approximation works very well in practice.

Two estimated power transformation parameters were obtained for each simulated data set: the first with the 3 × 4 factorial effect included as predictor variables in the transformation model (λ 1 ), representing the Box-Cox transformation by definition; and the other just a power transformation of the response variable (λ 0 ), representing an approximation one might see in practice.

To date, the closest approximations of this ideal in practice have so-called 'step tolls', in which the toll takes on different values over discrete time intervals, but is constant within each interval.