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Can someone explain the difference between Big O, Big Omega, and Big theta ? I understand that big O is upper bound, Big Omega is
Can someone explain the difference between Big O, Big Omega, and Big theta ? I understand that big O is upper bound, Big Omega is lower bound and Big theta is tight bound. But how do you know which to use when analyzing an algorithm? And why do these matter ?
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Parallel Computation Third International Acpc Conference With Special Emphasis On Parallel Databases And Parallel I/O Klagenfurt Austria September 1996 Proceedings Lncs 1127
Authors: Laszlo Boszormenyi
1st Edition
3540616950, 978-3540616955
