Sentence examples for our approximation from inspiring English sources

Moreover, our approximation algorithm shows a tight bound on the approximability of the problem for a specific family of instances.

This validates our approximation.

Error estimation for our approximation is proved.

Our approximation algorithm is an improvement over the greedy algorithm, since our approximation factor of is independent of and of the number of target points.

We also compare the results of our approximation algorithm with the results of Matlab simulations.

Numerical experiments demonstrate that our approximation has some advantages compared to that of the reference.

We guarantee that our approximation has the same topology as the exact Minkowski sum.

The performance of our approximation is superior to that of existing methods.

The great advantage of our approximation (beta (n)) consists in its simple form and its accuracy.

This result is consistent with our approximation above in (77) and (79).

The rate of convergence of our approximation is faster than the corresponding one in [13].