relational graph - vertaling naar russisch
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relational graph - vertaling naar russisch

MATHEMATICAL OPERATION IN GRAPH THEORY
Graph tensor product; Relational product
  • The tensor product of graphs.

relational graph      

математика

граф отношений

ORDBMS         
DATABASE MANAGEMENT SYSTEM
ORDBMS; Object-relational database management system; Object–relational; Object-relational model; Object-relational DBMS; Object-relational dbms; Object relational database; Object-relational database; Object-relational; Object–relational model

общая лексика

Object-Relational DBMS

система управления объектно-реляционными базами данных, объектно-реляционная СУБД, ОРСУБД

Смотрите также

OODBMS; RDBMS

empty graph         
GRAPH WITHOUT EDGES (ON ANY NUMBER OF VERTICES)
Empty tree; Empty graph; Null Graph; Null tree; Singleton graph; Edgeless graph; Order-zero graph

математика

пустой граф

Definitie

ORDBMS
Object Relational Database Management System (Reference: DBMS, DB)

Wikipedia

Tensor product of graphs

In graph theory, the tensor product G × H of graphs G and H is a graph such that

  • the vertex set of G × H is the Cartesian product V(G) × V(H); and
  • vertices (g,h) and (g',h' ) are adjacent in G × H if and only if
    • g is adjacent to g' in G, and
    • h is adjacent to h' in H.

The tensor product is also called the direct product, Kronecker product, categorical product, cardinal product, relational product, weak direct product, or conjunction. As an operation on binary relations, the tensor product was introduced by Alfred North Whitehead and Bertrand Russell in their Principia Mathematica (1912). It is also equivalent to the Kronecker product of the adjacency matrices of the graphs.

The notation G × H is also (and formerly normally was) used to represent another construction known as the Cartesian product of graphs, but nowadays more commonly refers to the tensor product. The cross symbol shows visually the two edges resulting from the tensor product of two edges. This product should not be confused with the strong product of graphs.

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