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Generic programming is defined in Musser & Stepanov (1989) as follows, Generic programming centers around the idea of abstracting from concrete, efficient algorithms to obtain generic algorithms that can be combined with different data representations to produce a wide variety of useful software.
In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs.
Programación genérica. La programación genérica es un tipo de programación que está mucho más centrada en los algoritmos que en los datos. La idea de esta forma de programar pretende generalizar las funciones utilizadas para que puedan usarse en más de una ocasión.
Concept (generic programming) In generic programming, a concept is a description of supported operations on a type, including syntax and semantics. In this way, concepts are related to abstract types but concepts do not require a subtype relationship.
27 de may. de 2011 · Generic Programming is a programming paradigm for developing efficient, reusable software libraries. Pioneered by Alexander Stepanov and David Musser, Generic Programming obtained its first major success when the Standard Template Library became part of the ANSI/ISO C++ standard.
21 de jun. de 2018 · The main motivation for the use of generics is to provide meaningful type constraints between members, Generics or Parametric Polymorphism, are used in most programming languages, and although they can be harder to understand, there are 5 main benefits to using them.
Generic programming is a style of computer programming in which algorithms are written in terms of to-be-specified-later types that are then instantiated when needed for specific types provided as parameters. This approach, pioneered by Ada in 1983. From Wikipedia Generic Programming