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Analysis of algorithms

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  1. To analyze an algorithm is to determine the amount of resources (such as time and storage) necessary to execute it

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
  2. a theoretical classification that estimates and anticipates the increase in running time (or run-time) of an algorithm as its input size (usually denoted as "n") increases

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
  3. Most algorithms are designed to work with inputs of arbitrary length

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
  4. Usually the efficiency or complexity of an algorithm is stated as a function relating the input length to the number of steps (time complexity) or storage locations (space complexity)

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
  5. 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

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
  6. These estimates provide an insight into reasonable directions of search of efficient algorithms

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 28, 2008
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