Sentence examples for fundamental graph from inspiring English sources

Breadth-First Search BFSS) is one of the most fundamental graph algorithms used as a component of many graph algorithms.

For example, the Cypher working with Neo4j databases lacks some fundamental graph querying functionalities, namely, RPQs and graph construction.

Strongly Connected Component (SCC) decomposition is a fundamental graph algorithm which has wide applications in model checking, electronic design automation, social network analysis and other fields.

Clearly, the benefit of exchanging the vertex ids in such a fashion is that many fundamental graph primitives are easily computed in o(1) time.

The proposed relaxation is applied to designing primal dual algorithms for two fundamental graph covering problems: the prize-collecting edge dominating set problem and the multicut problem in trees.

Furthermore, fundamental graph primitives (such as "checking if a node is a neighbor") may benefit from this encoding as many graph operations can be answered in (mathcal {o}(1)) with a simple range check.

Section 4.2 presents an overview of the fundamental graph-theoretical concepts, including graph decomposition, that enable the application of the FPT theorem to the TARP.

We generalise a fundamental graph-theoretical fact, stating that every element of the cycle space of a graph is a sum of edge-disjoint cycles, to arbitrary continua.

The minimum spanning tree problem is one of the most fundamental algorithmic graph problems and OBDDs are a very common dynamic data structure for Boolean functions.

The proposed codification is based upon the fundamentals of graph theory which not only restricts the search space but also avoids tedious mesh checks.

The fundamental properties of graph eigenvalues can be found in the study in [1].