Exemplos de uso de Graph isomorphism em Inglês e suas traduções para o Português
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That is, it is a graph isomorphism from G to itself.
This procedure is polynomial-time andgives the correct answer if P is a correct program for graph isomorphism.
The graph isomorphism problem is contained in both NP and co-AM.
For the latter two problems, Babai, Kantor& Luks(1983)obtained complexity bounds similar to that for graph isomorphism.
In this work we study the graph isomorphism problem and their complexity to solve it.
We also studiedthe brendan mckay¿s algorithm, who is the fastest algorithm for the graph isomorphism problem known.
Consider these two problems: Graph Isomorphism: Is graph G1 isomorphic to graph G2?
If graph isomorphism is NP-complete, the polynomial time hierarchy collapses to its second level.
The computational problem of determining whether two finite graphs are isomorphic is called the graph isomorphism problem.
The graph isomorphism problem is the computational problem of determining whether two finite graphs are isomorphic.
An important unsolved problem in complexity theory is whether the graph isomorphism problem is in P, NP-complete, or NP-intermediate.
This is evidence that graph isomorphism is unlikely to be NP-complete, since it implies collapse of polynomial hierarchy.
Since it is widely believed that the polynomial hierarchy does not collapse to any finite level,it is believed that graph isomorphism is not NP-complete.
The graph isomorphism problem of determining whether two graphs can be drawn identically* All NP-complete problems, e.g.
He can either ask her to show the isomorphism between"H" and"G"(see graph isomorphism problem), or he can ask her to show a Hamiltonian cycle in"H.
Similar to the graph isomorphism problem, it is unknown whether it has a polynomial time algorithm or it is NP-complete.
This essentially means that an efficient Las Vegas algorithm with access to an NP oracle can solve graph isomorphism so easily that it gains no power from being given the ability to do so in constant time.
The graph isomorphism problem, the discrete logarithm problem and the integer factorization problem are examples of problems believed to be NP-intermediate.
Computational complexity==Constructing the automorphism group is at least as difficult(in termsof its computational complexity) as solving the graph isomorphism problem, determining whether two given graphs correspond vertex-for-vertex and edge-for-edge.
While graph isomorphism may be studied in a classical mathematical way, as exemplified by the Whitney theorem, it is recognized that it is a problem to be tackled with an algorithmic approach.
One may use the third property to extend σ to an orientation-reversing function on the edges of G. The transpose graph of G is the graph formed by reversing every edge of G, andσ defines a graph isomorphism from G to its transpose.
In the context of graph enumeration and graph isomorphism it is important to distinguish between labeled vertices and unlabeled vertices.
In graph theory, an isomorphism between two graphs G and H is a bijective map f from the vertices of G to the vertices of H that preserves the"edge structure" in the sense that there is an edge from vertex u to vertex v in G if and only if there is an edge from ƒ(u) to ƒ(v)in H. See graph isomorphism.
The formal notion of"isomorphism", e.g., of"graph isomorphism", captures the informal notion that some objects have"the same structure" if one ignores individual distinctions of"atomic" components of objects in question.
In the case when the bijection is a mapping of a graph onto itself, i.e., when G and H are one and the same graph, the bijection is called an automorphism of G. Graph isomorphism is an equivalence relation on graphs and as such it partitions the class of all graphs into equivalence classes.
In electronic design automation graph isomorphism is the basis of the Layout Versus Schematic(LVS) circuit design step, which is a verification whether the electric circuits represented by a circuit schematic and an integrated circuit layout are the same.
To demonstrate the power of these classes,consider the graph isomorphism problem, the problem of determining whether it is possible to permute the vertices of one graph so that it is identical to another graph. .
The graph isomorphism problem is computationally equivalent to the problem of computing the automorphism group of a graph, and is weaker than the permutation group isomorphism problem and the permutation group intersection problem.
That it lies in Parity P means that the graph isomorphism problem is no harder than determining whether a polynomial-time nondeterministic Turing machine has an even or odd number of accepting paths.
The notion of"graph isomorphism" allows us to distinguish graph properties inherent to the structures of graphs themselves from properties associated with graph representations:graph drawings, data structures for graphs, graph labelings, etc.