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Lower Bound

Lower Bound

Feb 10, 20261 min read

  • computational-complexity
  • time-complexity
  • lower-bound

Lower Bound

← Back to Big-Omega Notation

A function f(n) is Omega(g(n)) if f(n) grows at least as fast as g(n) for sufficiently large n. The lower bound provides a floor on growth rate, establishing that no input can cause the algorithm to run faster than this rate asymptotically.

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