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  • Which notation denotes the upper and lower boundaries of an algorithm’s time complexity?

Analysis and Design of Algorithms

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  • double_arrow Asymptotic Notations
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Which notation denotes the upper and lower boundaries of an algorithm’s time complexity?

Theta notation (Θ(g(n)) represents the upper and lower bounds of an algorithm’s time complexity, suggesting a tight bound.

The term f(n)=Θ(g(n)) means that there are positive constants c 1​ and c 2​ such that for all sufficiently large values of n, the function f(n) lies between c 1​⋅g(n) and c 2​⋅g(n).

Related Questions

  • What does amortized efficiency measure in algorithm analysis?
  • What is the basic asymptotic efficiency of exponential classes in terms of time complexity?
  • Which asymptotic notation represents an algorithm’s worst-case time complexity?
  • What does the notation f(x)=o(g(x)) mean as x approaches infinity?

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