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Here is the big - O definition ( may be useful for other exercises too ) : Let n > 0 ( usually n is

Here is the big-O definition (may be useful for other exercises too):
Let n >0(usually n is the size of the input) and let f(n) and g(n) be two
monotone and non-negative functions. We say that f(n)= O(g(n)) if there
exists a constant c and a constant n0 such that: f(n)<= cg(n),n > n0.
The exercise asks you to use the definition to prove the following:
Let f(n)=100n +0.001n log n. Then f(n)= O(n log n).

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