Governing equations are discretized by C-C FVM in spatial space.
The spatial weight measures the similarity in spatial space whereas the feature weight measures the similarity in feature space which reveals the content of the images.
It efficiently exploits software's spatial space information as well as graph space information and thus can mine accurate patterns of cloned codes for software systems.
A novel speed correction procedure is proposed and incorporated into the BWIM methodology by converting variable speed response data with nonuniform spatial spacing to uniform spacing.
Due to the intrinsic limitations of such spatial space analysis, these methods have difficulties handling statement reordering, insertion and control replacement.
This is achieved through solving for the bicharacteristic strips, whose projection to spatial space gives the wavefronts, in a reduced phase space under a Eulerian and partial differential-equation-based framework.
By restricting the problems to one- and two-dimensional spatial space, this study allows us to develop a greater understanding of the integrated algorithm without the complexity or computational cost associated with three dimensions.
The resulting image is inverse Fourier transform, yielding I e (x, y) in spatial space.
We divide the spatial space into four quadrants according to the spatial angle between and, which is given as (22).
As a matter of fact, a spatial clustering algorithm seeks a specified number of representative points in the spatial space.
