Difference between revisions of "Algorithm"

From Wiki @ Karl Jones dot com
Jump to: navigation, search
(See also)
Line 1: Line 1:
In [[mathematics]] and [[computer science]], an '''algorithm''' (Listeni/ˈælɡərɪðəm/ al-gə-ri-dhəm) is a self-contained step-by-step set of [[operations]] to be performed.
+
In [[mathematics]] and [[computer science]], an '''algorithm''' (ˈælɡərɪðəm/'' ''al-gə-ri-dhəm'') is a self-contained step-by-step set of [[operations]] to be performed.
  
 
== Description ==
 
== Description ==

Revision as of 03:44, 9 September 2015

In mathematics and computer science, an algorithm (ˈælɡərɪðəm/ al-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed.

Description

Algorithms exist that perform calculation, data processing, and automated reasoning.

An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function.

Process

Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing output and terminating at a final ending state.

Randomized algorithms

The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.

History

The concept of algorithm has existed for centuries, however a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928.

Effective calculability

Subsequent formalizations were framed as attempts to define "effective calculability" or "effective method".

Those formalizations included:

Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.

Algorithm analysis

Analysis of algorithms is an important part of a broader computational complexity theory, which provides theoretical estimates for the resources needed by any algorithm which solves a given computational problem.

These estimates provide an insight into reasonable directions of search for algorithmic efficiency.

See also

External links