Sentence examples for both methods share the from inspiring English sources

Both methods share the property that the phase boundaries are sharply computed in the sense that there are no numerical interior points for the description of a phase boundary.

However, both methods share the same general structure where a streaming step is followed by a collision step.

However, both methods share the same drawbacks: the usage of particle swarm optimization requires (a) the initial knowledge of the range of the extrinsic parameters and (b) a computationally expensive rendering of a virtual image for each particle in each iteration.

Both ESA and Hilbert-based methods share the use of a filterbank prior to AM-FM demodulation.

The methods share the exact same first step.

All of these methods share the property that they add special enrichment functions to a standard approximation space.

In general, these methods share the same framework [9] (Figure S1).

The two methods share the fundamental concept of using monoclonal antibodies for tumour pretargeting while differing in several aspects.

Region Growing methods share the common disadvantage of being dependent on initialization - quality of segmentation is dependent of initialization quality.

There are various scoring methods for linkage analysis, some are called parametric and some non-parametric, but all scoring methods share the backbone of a common HMM.

The two methods share the same limitation: the inability of sampling a point from the second shell, when starting from a random parameter point in the first shell.