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Effective method

From Wikipedia, the free encyclopedia

In logic, mathematics and computer science, especially metalogic and computability theory, an effective method[1] or effective procedure is a procedure for solving a problem by any intuitively 'effective' means from a specific class.[2] An effective method is sometimes also called a mechanical method or procedure.[3]

Definition

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The definition of an effective method involves more than the method itself. In order for a method to be called effective, it must be considered with respect to a class of problems. Because of this, one method may be effective with respect to one class of problems and not be effective with respect to a different class.

A method is formally called effective for a class of problems when it satisfies these criteria:

  • It consists of a finite number of exact, finite instructions.
  • When it is applied to a problem from its class:
    • It always finishes (terminates) after a finite number of steps.
    • It always produces a correct answer.
  • In principle, it can be done by a human without any aids except writing materials.
  • Its instructions need only to be followed rigorously to succeed. In other words, it requires no ingenuity to succeed.[4]

Optionally, it may also be required that the method never returns a result as if it were an answer when the method is applied to a problem from outside its class. Adding this requirement reduces the set of classes for which there is an effective method.

Algorithms

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An effective method for calculating the values of a function is an algorithm. Functions for which an effective method exists are sometimes called effectively calculable.

Computable functions

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Several independent efforts to give a formal characterization of effective calculability led to a variety of proposed definitions (general recursive functions, Turing machines, λ-calculus) that later were shown to be equivalent. The notion captured by these definitions is known as recursive or effective computability.

The Church–Turing thesis states that the two notions coincide: any number-theoretic function that is effectively calculable is recursively computable. As this is not a mathematical statement, it cannot be proven by a mathematical proof.[citation needed]

See also

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References

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  1. ^ Hunter, Geoffrey, Metalogic: An Introduction to the Metatheory of Standard First-Order Logic, University of California Press, 1971
  2. ^ Gandy, Robin (1980). "Church's Thesis and the Principles for Mechanisms". The Kleene Symposium. Studies in Logic and the Foundations of Mathematics. 101: 123–148. doi:10.1016/S0049-237X(08)71257-6. ISBN 978-0-444-85345-5. Retrieved 19 April 2024.
  3. ^ Copeland, B.J.; Copeland, Jack; Proudfoot, Diane (June 2000). "The Turing-Church Thesis". AlanTuring.net. Turing Archive for the History of Computing. Retrieved 23 March 2013.
  4. ^ The Cambridge Dictionary of Philosophy, effective procedure
  • S. C. Kleene (1967), Mathematical logic. Reprinted, Dover, 2002, ISBN 0-486-42533-9, pp. 233 ff., esp. p. 231.