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Let F be an algorithm with complexity function f ( n ) , and let G be an algorithm with complexity function g ( n
Let F be an algorithm with complexity function fn and let G be an algorithm with complexity function gn If the ratio fngn converges to as n increases to infinity, then
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implementations of F will require twice as much space as implementations of G
the two algorithms are equivalent in efficiency and there is no clear winner
implementations of F will require twice as much time as implementations of G
we can deduce that F runs in linear time while G runs in quadratic time
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