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  2. Entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Entity–relationship_model

    An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types).

  3. Enhanced entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Enhanced_entity...

    The enhanced entity–relationship (EER) model (or extended entity–relationship model) in computer science is a high-level or conceptual data model incorporating extensions to the original entity–relationship (ER) model, used in the design of databases.

  4. C4 model - Wikipedia

    en.wikipedia.org/wiki/C4_model

    The C4 model relies at this level on existing notations such as Unified Modelling Language (UML), Entity Relation Diagrams (ERD) or diagrams generated by Integrated Development Environments (IDE). For level 1 to 3, the C4 model uses 5 basic diagramming elements: persons, software systems, containers, components and relationships.

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  6. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.

  7. Dependency graph - Wikipedia

    en.wikipedia.org/wiki/Dependency_graph

    A depends on B and C; B depends on D. Given a set of objects and a transitive relation with (,) modeling a dependency "a depends on b" ("a needs b evaluated first"), the dependency graph is a graph = (,) with the transitive reduction of R.

  8. Variance reduction - Wikipedia

    en.wikipedia.org/wiki/Variance_reduction

    In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the estimates obtained for a given simulation or computational effort. [1] Every output random variable from the simulation is associated with a variance which limits the precision of the simulation results.

  9. List of Unified Modeling Language tools - Wikipedia

    en.wikipedia.org/wiki/List_of_Unified_Modeling...

    C++ Java and C# class headers are synchronized between diagrams and code in real-time Programmer's workbenches, documentation tools, version control systems Supports following UML diagrams: Use case diagram, Sequence diagram, Collaboration diagram, Class diagram, Statechart diagram, Activity diagram, Component diagram, Deployment diagram and ...