Sentence examples for propagation cost from inspiring English sources

where γ is a local propagation cost between two neighboring pixels, p0 is a pixel that lies at the seed boundary, p l =x, and l is the total path length.

To minimize propagation cost, this is ensured by a simple n-ary constraint propagation after assignment.

The radio channel considered follows the ITU radio propagation COST-231 Hata model, for macro cell propagation scenarios in urban and suburban areas, outside the high rise core where the buildings are of nearly uniform height [22].

Furthermore, we also take advantage of textural features for computing local propagation costs that are used in the distance transform.

If each propagation costs (mathcal {O}(n^{2})) flops, then time update is achieved in (mathcal {O}(n^{2}N)) flops.

For the mutants that have not been differentiated from the original program, the proposal is based on faults propagation costs inserted by mutation operators to the model outputs.

But the amount they will pay is greater than might be thought simply because the propagation costs from one sector to another lead to a general increase in prices and the cheque received by consumers will not compensate for this.

This work is based on the observation that while a complete propagation of cost changes is essential to ensure optimality, the propagations can be stopped earlier if we are looking close-to-optimal solutions instead of the optimal one.

The error-resilient entropy coding (EREC) algorithm is an effective method for combating error propagation at low cost in many compression methods using variable-length coding (VLC).

A case study of a mobile phone design is explored, including variation propagation simulation, manufacturing cost and environmental impact estimation, online choice-based conjoint (CBC) survey design and administration, consumer demand model construction, and profit maximization for the markets in China, Sweden, and the United States.

We develop a framework called Truncated Incremental Search that builds on this observation and uses a target suboptimality bound to efficiently restrict cost propagations.