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4 definitions found
 for complexity
From The Collaborative International Dictionary of English v.0.48 :

  Complexity \Com*plex"i*ty\, n.; pl. Complexities. [Cf. F.
     1. The state of being complex; intricacy; entanglement.
        [1913 Webster]
              The objects of society are of the greatest possible
              complexity.                           --Burke.
        [1913 Webster]
     2. That which is complex; intricacy; complication.
        [1913 Webster]
              Many-corridored complexities
              Of Arthur's palace.                   --Tennyson.
        [1913 Webster]

From WordNet (r) 3.0 (2006) :

      n 1: the quality of being intricate and compounded; "he enjoyed
           the complexity of modern computers" [syn: complexity,
           complexness] [ant: simpleness, simplicity]

From Moby Thesaurus II by Grady Ward, 1.0 :

  31 Moby Thesaurus words for "complexity":
     abstruseness, arduousness, bothersomeness, burdensomeness,
     complication, convolution, crabbedness, crampedness, deepness,
     difficultness, difficulty, esoterica, hairiness, hardness,
     inscrutability, intricacy, involvement, knottiness, laboriousness,
     onerousness, oppressiveness, profoundness, profundity,
     reconditeness, rigor, rigorousness, ruggedness, strenuousness,
     toilsomeness, toughness, troublesomeness

From The Free On-line Dictionary of Computing (30 December 2018) :

      The level in difficulty in solving mathematically
     posed problems as measured by the time, number of steps or
     arithmetic operations, or memory space required (called time
     complexity, computational complexity, and space complexity,
     The interesting aspect is usually how complexity scales with
     the size of the input (the "{scalability"), where the size of
     the input is described by some number N.  Thus an algorithm
     may have computational complexity O(N^2) (of the order of the
     square of the size of the input), in which case if the input
     doubles in size, the computation will take four times as many
     steps.  The ideal is a constant time algorithm (O(1)) or
     failing that, O(N).
     See also NP-complete.

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