This trend in return series, as shown in graph, is suggesting no apparent differences in returns.
Projection of the high-throughput data into the basis of smooth functions defined on a biological network graph was suggested in [ 15].
Algorithms for modeling and calculation of main parameters of nuclear transformations based on directed graphs are suggested, which improves the speed and accuracy of calculations.
Based on this graph it is suggested that the concentration of mercury inside a herbarium box will be mainly between 10 and 40 µg/m3, while concentrations of higher than 80 µg/m3 are possible.
Clustering based on graph theory is suggested to effectively overcome this problem, and spectral clustering is one potentially useful representative methodology (Paccanaro et al. 2006).
Graph Theory Approach is suggested for the evaluation of the Maintainability Index of this system.
A composite of four graphs, one for each quantity, is suggested.
It is suggested that this graph representation method is both physically meaningful and computationally effective in the framework of topological optimum design using GAs.
In the blending step, a graph-cut strategy operating in the image gradient domain over the overlapping regions is suggested.
Best practices supported by Bond graph formalism are suggested to develop a model's structure efficiently and to make the model ready for use (or extension) by addressing the above mentioned issues.
