Asymptotic analysis is a method used to describe the behavior of algorithms as their input size grows towards infinity. It provides a way to evaluate the efficiency of an algorithm in terms of time and space, focusing on the growth rates of functions rather than specific numerical values. This technique is essential for understanding how algorithms will perform under large input conditions and helps in comparing their efficiency, guiding decisions in design and optimization.
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