G'day,
It depends upon your word size and notations use.
Irrespective of that, a floating point notation has three parts:
Sign Bit | Exponent | Mantissa
Sign Bit is always just one bit.
Size of Exponent depends upon a particular selection for a notation. Also, the encoding of Exponent could be in different notation, such as 2's comp, biased, excess, etc.
Similarly size of Mantissa depends upon the notation.
Here, for your question, I will take 32-bit word for FP and use the following convention.
Sign Bit | Exponent | Mantissa
1 | 8 bits | 23 bits
37 in 2's comp is 100101
This could be written as 100101.0000____
In normalised form, we start populating the Mantissa using first 1 from the left
Mantissa: 1001 0100 0000 0000 0000 000
If the radix point were at the extreme left of Mantissa, if would have to be moved 6 places to the right to get the original number. So we encode 6 in excess notation using 8 bits. This forms our Exponent.
Exponent: 1000 0110
Finally, the number is positive, hence the sign bit will be 0, interpreted as per 2's comp
Sign Bit: 0
Put this all together.
0 1000 0110 1001 0100 0000 0000 0000 00
is 37 in floating point.
This is correct to the best of my knowledge. If, however, someone has some correction, please do.
Cheers,
A
It is 2.5611*101
Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).
138558 x 10-2
Expanded Notation of 37 = (3 x 10) + (7 x 1).
It is the use of scientific notation.
It is 2.5611*101
Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).Floating point numbers are typically stored as numbers in scientific notation, but in base 2. A certain number of bits represent the mantissa, other bits represent the exponent. - This is a highly simplified explanation; there are several complications in the IEEE floating point format (or other similar formats).
A value of float or floating point type represents a real number coded in a form of scientific notation. Depending on the computer it may be a binary coded form of scientific notation or a binary coded decimal (BCD) form of scientific notation, there are a nearly infinite number of ways of coding floating point but most computers today have standardized on the IEEE floating point specifications (e.g. IEEE 754, IEEE 854, ISO/IEC/IEEE 60559).
175.23*10^-2
138558 x 10-2
Expanded Notation of 37 = (3 x 10) + (7 x 1).
Scientific notation (i.e floating point) is used to represent the wide range of numbers that occur in the analysis of the fluid dynamics equations needed to design wings.
It is the use of scientific notation.
Floating Point was created in 2007-04.
Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.
In all number bases, the radix simply represents the point that separates the integer component from the fractional component in a real number. In decimal notation, the radix is more commonly called a decimal point.
Two billion, nine hundred twenty million. Or: Two point nine two billion.