Sentence examples for cost graph from inspiring English sources

We introduce the minimum cost graph homomorphism problem, provide partial results and pose an open problem.

In this paper, we consider a network design problem which has upper-bounds on weighted degrees of vertices as its constraints while the objective is to compute a minimum cost graph with a prescribed connectivity.

To search for low cost graph partitioning, RNSC uses a simple integer-valued cost function, referred to as the naive cost function, as a preprocessor.

Fig. 12 Obstacle shape change due to its motion Fig. 13 Determination of the size and trail cost graphs respectively.

Using statistical derivations, power- and cost graphs we show that such a "forward genetics" approach can lead to a marked reduction in sample size and costs.

Open image in new window Figure 9 Time-cost graphs for (a) SP8, (b) SP9,(c) SP10, and (d) SP12.

However, due to prohibitive computational costs, graph-based analyses to date have principally focused on measuring connection density rather than mapping the topological architecture in full by exhaustive shortest-path determination.

We give bicriteria approximation algorithms for problems that seek to find a minimum cost directed graph that satisfies both intersecting supermodular connectivity requirements and weighted degree constraints.

In order to reduce computation time, we optimize this cost by graph cuts instead of the classic winner take all (WTA) optimization.

To achieve such highest index with the lowest test cost, AND/OR graph search algorithms were developed for years to determine an optimal or near-optimal test sequence.

Future work is needed to incorporate additional graph-based features and reduce the computational costs of graph feature extraction.