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One way to think about a floating point number is that what a unit represents can change. Together with the implied 1. of the mantissa,

One way to think about a floating point number is that what a unit represents can change. Together with the implied "1." of the mantissa, there are 53 bits to specify the binary mantissa. In other words, we are using 53 bits to specify the quantity of some power of 2.

This point of view is particularly helpful when dealing with exceedingly large values that cannot be represented as a 64-bit unsigned integer, or very small values. However, it is also true for values that are within the range of what can be represented by integers.

For example, let us consider the quantity of 3. We are trying to figure out image text in transcribed3 = x 2 p where image text in transcribed2 52 x p is whatever value is needed to make this equation work. In this case, image text in transcribedx = 2 52 + 2 51, which means image text in transcribedp = 51 because image text in transcribed( 2 52 + 2 51 ) 2 51 = 2 1 + 2 0 = 3.

Given that image text in transcribedv =3.521e21, find the value of image text in transcribedp such that image text in transcribed

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