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<p>
The answer to this is simple, we can have all the above things only if we
have performance. So performance is like currency through which we can buy
all the above things. Another reason for studying performance is – speed
is fun!
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<p>
For example, let us say, we want to store marks of all students in a
class, we can use an array to store them. This helps in reducing the use
of number of variables as we don’t need to create a separate variable for
marks of every subject. All marks can be accessed by simply traversing the
array.
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<p>
Asymptotic Analysis is the big idea that handles above issues in analyzing
algorithms. In Asymptotic Analysis, we evaluate the performance of an
algorithm in terms of input size (we don’t measure the actual running
time). We calculate, how does the time (or space) taken by an algorithm
increases with the input size.
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<p>
Also, in Asymptotic analysis, we always talk about input sizes larger than
a constant value. It might be possible that those large inputs are never
given to your software and an algorithm which is asymptotically slower,
always performs better for your particular situation. So, you may end up
choosing an algorithm that is Asymptotically slower but faster for your
software.
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