Software Quality Assurance in software engineering
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In computing floating point describe a method of representing a real number in a way that can support a wide range of value. Number are in general represented approximately to a fixed number of significant digits & scaled using expenses.
The base of further scaling is normally 2,10 or 16 the typical number that can be represented exactly in the form of significant digit into base to the exponent. The term floating point refer to the fact that the radix point (decimal point or more commonly in the computer binary point) can float that is it can be placed anywhere relative to the significant digit of the number.
It over the fixed point an integer representation is that it can support a much wide range of value. Eg:- A fixed point representation that has 7 decimal digit with 2 decimal places can represent the number.
123.45 & so no..... where as floating point representation with 7 decimal digit could in represent 1.234567 & so no.. . The floating point format needs slightly more storage so when stored in the same place , floating point number achieve their greater range at the expense of precision.
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