Titlebook: ;

dragon

Formalisation, Abstraction and Refinement of Bond Graphss are replete with ambiguity, significantly impeding understanding. A formalisation of the essentials of bond graphs is given, together with a formalisation of bond graph transformation, which can directly express abstraction and refinement of bond graphs.

亲密

A Rule-Based Procedure for Graph Query Solvinggraph databases. For this purpose, we first define a graph query algebra where some operations over graphs and sets of graph homomorphisms are specified. Then, the notion of pattern is introduced to represent a kind of recursively defined formula over graphs. The syntax and formal semantics of patte

myopia

烧烤

PLUMP

Computing ,-Bisimulations for Large Graphs: A Comparison and Efficiency Analysisle. Our generic parallel BRS algorithm efficiently summarizes large graphs w.r.t. a custom equivalence relation . defined on the graph’s vertices .. Moreover, the definition of . can be chained . times, so the defined equivalence relation becomes a .-bisimulation. We evaluate the runtime and memory

挑剔为人

abysmal

Implementing the , Language: A Functional Language with Graphs as First-Class Data leaf-linked trees. They can be abstracted into graphs (or more precisely, port hypergraphs). In existing imperative programming languages, these structures are handled with destructive assignments to heaps as opposed to a purely functional programming style. These low-level operations are prone to

ovation

https://doi.org/10.1007/978-3-658-38044-1ential action is already absent (present), this action need not be performed because the desired outcome is already present. We formally define effect-oriented graph transformation, show how matches can be computed without explicitly enumerating all induced classic rules, and report on a prototypica

不容置疑

平常

Mit den Mathemädels durch die Weltorithms on all datasets for all . and for smaller . in some cases. The BRS implementations of the two bisimulation algorithms run almost as fast as each other. Thus, the BRS algorithm is an effective parallelization of the sequential Kaushik et al. bisimulation algorithm.