Abstraction in computer science

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Abstraction is the separation of the essential qualities of an object from the details of how it works or is composed. It ignores the details and concentrates on the essentials. The concept of abstraction allows us to understand and intellectually manage any large or complex system, whether it is machinery, or an intricate and very detail algorithm. For example, employing abstraction allows us to view the hardware component "memory", as a single indivisible high-level entity without having to be aware of the many electronic devices that go into constructing it.

Computer science deals with complexity. Abstraction makes complexity manageable by judiciously reducing it to a set of essential uniqueness. Algorithms are abstract descriptions of procedures for solving problems or calculating values. They may be described in spoken language or Pseudocodes, but should be detailed and unambiguous. In the process of abstraction, a programmer tries to ensure that an object is named in a manner that will make sense and that it will have all the relevant aspects included and none of the extraneous ones. In class, we used abstraction in high-level language instructions used during the program design process, in composing algorithms, and scrutinizing multiplexor and decoder circuits in constructing a processor. Thus, abstractions eliminated the details of how things work or are composed. We can exercise abstraction in real world situations, for example, in attempting to understand the mechanics of the solar system. Early astronomers applied abstraction to a planet, treating the planet as a body all of whose mass is concentrated at a single point. Thus, abstraction ignores a wealth of details about each planet, its actual diameter, its average temperature, its brightness, etc. However, these other details are not relevant in understanding and modeling the basic orbital mechanics of the solar system. Abstraction is important for simplifying complex situation to a level where analysis, experimentation, or understanding can take place. Without abstraction, it would be virtually impossible to study computer design because of its enormous complexity.

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