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In keeping with the lower certain theory, for a lower bound L(n) of an algorithm, it’s not doable to have another algorithm (for a standard drawback) whose time complexity is lower than L(n) for random input. Time taken by a recognized algorithm to unravel an issue with worse case input gives us the higher certain. Now to seek out an optimal algorithm we want to seek out the lower sure here (as per lower certain theory).

The sources (primarily CPU cycles) are allocated to the process for a limited amount of time after which taken away, and the process is again placed again within the prepared queue if that process nonetheless has CPU burst time remaining Note that L(n) here is the minimal of all of the doable algorithms, of most complexity. The Lower and Upper Bound Theory gives a means to search out the bottom complexity algorithm to unravel an issue.

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