These spectra may be compared to the spectrum obtained from a standard glucose solution (graph E), as shown in the right-hand panel of Fig. 15f.
Pareto plot (trade-off solution graph) for the analysis of such optimal solutions has been applied to implicitly verify the optimality of the solution based on all possible scenarios.
This paper proposes a generic high-performance and low-time-overhead software control flow checking solution, graph-tree-based control flow checking (GTCFC) for space-borne commercial-off-the-shelf (COTS) processors.
In contrast, the usual description of a solution focuses on the calculation of the required physical amount from the given ones, while the principles/laws and conditions which justify the calculation are attached in the ad hoc way. Figure 1c,d are typical descriptions of such solution we described according to the format of "solution graph" (Conati and VanLehn 1996) of ANDES (VanLehn et al. 2005).
As before, we use binary variables e uv indicating whether the edge { u, v} is present in the solution graph.
For each (undirected) pair of vertices { u, v}, we introduce binary variables e uv indicating whether the edge { u, v} is present in the solution graph.
In the second case, if there are production or construction activities (essays, problem solutions, graphs,…), the resulting productions can be distributed to peer learners who will rate a limited number of their peers by filling a small assessment questionnaire.
Similar to graph kernels, getting an exact solution for graph alignment is not feasible for even moderate sized graphs.
To our visual analysis, we depict the solutions on graphs only for AJHotDraw and AJHSQLDB, since for the other two systems, a single solution was achieved (see Table3).
They also propose an approximate solution named graph-sampling.
