Sentence examples for requires in practice from inspiring English sources

Exact(3)

This requires in practice to evaluate the sparsity of the tampering in each basis expansion; we use for this purpose the inverse-tangent norm defined in (15).

This implies additional performance degradation due to unnecessary yielding with an excessive step size, especially when it is now known how much generous yielding the low-priority link requires in practice.

We outline some key points: (i) the great difficulty to obtain accurate numerical results for large values of α (ii) the possibility of virtually optimum schemes is essentially theoretical and requires, in practice, careful experiments; (iii) for strongly convective problems, some second-order explicit schemes are almost as efficient (and less costly) than implicit fourth-order schemes.

Similar(57)

They point out that the designation does not prohibit development altogether, usually requiring in practice only that it be less dense, and that the designation applies to private landowners only when projects are subject to federal permits.

Hence, longer AMF treatment period is required in practice.

While formally required, in practice the arbitrary integer natured offset is absorbed by the ambiguity term.

Most stochastic differential equations (SDEs) are nonlinear and cannot be solved explicitly, whence numerical solutions are required in practice.

Importantly, by similar reasoning, we may characterize the arbitrary distribution of sensors around the gateway, if required in practice.

Since the symplectic ERK methods are implicit and iterative solutions are required in practice, we also investigate the convergence of the corresponding fixed-point iterative procedure.

Beside generic ODD editors, which have been introduced in [22], also automatic mechanisms for validating the created ODDs are required in practice to ensure valid specifications.

For the computation of collision-free configurations required in practice a collision avoidance method is introduced, which provides a minimal number of nonlinear constraints in the optimization problem.

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