extremal mapping - ορισμός. Τι είναι το extremal mapping
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Τι (ποιος) είναι extremal mapping - ορισμός

Extremal graph
  • The edges between parts in a regular partition behave in a "random-like" fashion.
  • The [[Petersen graph]] has chromatic number 3.
  • cliques]]. This is ''T''(13,4).

Collaborative mapping         
AGGREGATION OF WEB MAPS AND USER-GENERATED CONTENT, FROM A GROUP OF INDIVIDUALS OR ENTITIES, AND CAN TAKE SEVERAL DISTINCT FORMS
Collaborative Mapping; Citizen mapping
Collaborative mapping is the aggregation of Web mapping and user-generated content, from a group of individuals or entities, and can take several distinct forms. With the growth of technology for storing and sharing maps, collaborative maps have become competitors to commercial services, in the case of OpenStreetMap, or components of them, as in Google Map Maker and Yandex.
Brain mapping         
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IMAGING TECHNIQUES USED TO COLOCALIZE SITES OF BRAIN FUNCTIONS OR PHYSIOLOGICAL ACTIVITY WITH BRAIN STRUCTURES
Brain Mapping; Brain map
Brain mapping is a set of neuroscience techniques predicated on the mapping of (biological) quantities or properties onto spatial representations of the (human or non-human) brain resulting in maps.
Object–relational mapping         
PROGRAMMING TECHNIQUE
Object-relationship modelling; Object-Relationship Modelling; O/R mapping; O/RM; Post-relational database; Object relational mapper; Object-SQL mapping; Object-Relational Mapping; Object Relational Mapping; Object/relational mapping; Object-relational mapper; O-RM; Object-Relational mapping; O/R mapper; Object relational mapping; Object-relational mapping
Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between type systems using object-oriented programming languages. This creates, in effect, a "virtual object database" that can be used from within the programming language.

Βικιπαίδεια

Extremal graph theory

Extremal graph theory is a branch of combinatorics, itself an area of mathematics, that lies at the intersection of extremal combinatorics and graph theory. In essence, extremal graph theory studies how global properties of a graph influence local substructure. Results in extremal graph theory deal with quantitative connections between various graph properties, both global (such as the number of vertices and edges) and local (such as the existence of specific subgraphs), and problems in extremal graph theory can often be formulated as optimization problems: how big or small a parameter of a graph can be, given some constraints that the graph has to satisfy? A graph that is an optimal solution to such an optimization problem is called an extremal graph, and extremal graphs are important objects of study in extremal graph theory.

Extremal graph theory is closely related to fields such as Ramsey theory, spectral graph theory, computational complexity theory, and additive combinatorics, and frequently employs the probabilistic method.