Ace Learns Logo Ace Learns
  • Home
  • History
  • Geography
  • Astronomy
  • Physics
  • Chemistry
  • Biology
  • Agriculture
  • Sports
  • Computer Science
  • Articles
  • Contact Us
MCQ Categories
  • Articles
  • Home
  • Contact Us
  • Home
  • »
  • Computer Science
  • »
  • Analysis and Design of Algorithms
  • »
  • Asymptotic Notations
  • »
  • Which notation denotes the upper and lower boundaries of an algorithm’s time complexity?

Analysis and Design of Algorithms

unfold_more
  • double_arrow Asymptotic Notations
  • double_arrow Space Complexity of Algorithms
  • double_arrow Time Complexity of Algorithms

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

Quick Links

  • Sports
    • chevron_right Cricket
    • chevron_right Asian Games
    • chevron_right Common Wealth Games
    • chevron_right Olympics
  • Biology
    • chevron_right Essential Nutrients
    • chevron_right Genetics
    • chevron_right Plants
    • chevron_right The Human Body System
  • Agriculture
    • chevron_right Pest and Disease Classification
    • chevron_right Green Revolution
    • chevron_right Animal Husbandry
    • chevron_right Major Crops and Classification
  • History
    • chevron_right Industrialization
    • chevron_right Ancient Civilizations
    • chevron_right Enlightenment and Modern ideas
    • chevron_right Revolution and Counter-Revolution

Ace Learns Logo Ace Learns © 2026 Ace Learns. All rights reserved.
  • Contact Us
  • Copyright
  • Privacy Policy