Sentence examples for to avoid implementation from inspiring English sources

To avoid implementation problems a convex approximation technique is used and LMI based algorithms are obtained for computing stabilizing gains.

To avoid implementation problems, Amgen's top management team used the DICE framework to gauge how effectively it had allocated people, senior management time, and other resources.

Cummings told the BBC's World at One programme: "Officials in DfE were unanimous that it was a bad gimmick and introduced in a way that makes it hard to avoid implementation chaos.

Notwithstanding the advantages of the synchronous sampling period approach, this operation principle is not commonly adopted in the literature since a proper design is required to avoid implementation problems and possible conflicts with other modules.

The university used every trick it could to avoid implementation of racist laws, so to the extent that it "admitted few black or mixed-race students" and maintained whites-only dormitories, it acted through gritted teeth, not from racism, as the article implies.

To avoid implementation variance, we used the publicly available code provided by the authors of [22].

Considering that RCTs are difficult and often unlikely to be carried out for most radiation treatment modalities [ 31], a discussion of what constitutes evidence for complex and evolving technologies, such as IMRT, is necessary to engage physicians at an earlier stage and avoid implementation delays.

What makes SCP so appealing is that shipping companies can become more self-reliant and avoid implementation issues associated with multiple agencies.

To avoid the implementation gaps experienced in Kwale, future implementation of PMR programmes may need to find ways to allow greater authority in budgetary decisions at a local level, even within existing government procedures.

These factors, among others, increase the difficulty of strategy execution and cause managers to avoid critical implementation requirements.

By focusing on real and operational systems, the book demonstrates the importance of integrating data from diverse clinical data sources; the keys to implementing clinically usable systems; the pitfalls to avoid in implementation; and the development of effective evaluation methods.