#Describe the first two bits in the mantissa of all normalised floating point numbers.
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<@&987246964494204979> please have a look, thanks.
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not provide a satisfactory explanation. The first two bits in the mantissa of all normalized floating point numbers are always 1 and 0. This is because normalized floating point numbers are represented in scientific notation, where the mantissa is always between 0.5 and 1 (inclusive). Therefore, the first bit is always a 1, indicating the leading digit of the mantissa. The second bit is always a 0, as it represents the next smallest value in the binary representation after 0.5. This pattern ensures that normalized floating point numbers have maximum precision and can accurately represent a wide range of values.
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Sure! In a normalized mantissa, the first bit is always assumed to be 1 (since the mantissa is normalized). This means that the leading bit does not need to be explicitly stored, allowing for more precision in the significant bits that follow.
For example, let's consider a normalized mantissa with 4 bits: 1010. In this case, the leading 1 is assumed and not explicitly stored. The remaining bits represent the fractional part of the number, with each bit representing a decreasing power of 2 starting from -1.
So in our example of 1010, we would calculate the value as follows:
1 * 2^(-1) + 0 * 2^(-2) + 1 * 2^(-3) + 0 * 2^(-4) = (0.5) + (0.125) = 0.625
Therefore, a normalized mantissa allows us to store more precise decimal values using fewer bits by assuming the leading bit to be always 1 and only storing the significant bits following it.
A floating point number is considered normalized if it is in scientific notation form with a single non-zero digit to the left of the decimal point. In this case, the number 1100 is not a normalized floating point number because it does not have a single non-zero digit to the left of the decimal point.
The denary representation of a normalized floating point number can be found by moving the decimal point to create a number greater than or equal to 1 but less than 10, and then multiplying by a power of 10.
For example, if we have the normalized floating point number 1.1 x 10^3, we would move the decimal point one place to the right to get 11.0, and then multiply by 10^3 to get 11000.
In the case of the number 1100, we need to move the decimal point three places to create a denary representation greater than or equal to 1 but less than 10. This gives us the denary representation of 1.1 x 10^3 or simply 1100 in standard form.
Therefore, while the floating point number 1100 is not considered normalized, its denary representation would be equivalent to itself in standard form.
i still dont really get it :|