How Does IEEE Single Precision Format Store 7 Decimal Digits?

In summary, the conversation discusses the use of IEEE single precision format for storing numbers and its relation to the statement ##2^{-23}=1.19\times10^{-7}##. It is explained that the format has a 23-bit explicit mantissa which is equivalent to approximately 7 decimal digits precision. It is also mentioned that the conversion from radix to decimal is easy to remember.
  • #1
shuxue
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Could someone please show me some examples how IEEE single precision format can used to store approximately 7 decimal digits of a number when the number is written in decimal format? How this is related to the statement ##2^{-23}=1.19\times10^{-7}##?
 
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  • #2
shuxue said:
Could someone please show me some examples how IEEE single precision format can used to store approximately 7 decimal digits of a number when the number is written in decimal format?
Have you done any research on your own to understand that format? It's very common and it should be easy to find examples already posted on the internet, if not in your textbook.

How this is related to the statement ##2^{-23}=1.19\times10^{-7}##?
that's just a radix conversion. It's relevance to the IEEE format is that you only have a 23 bit explicit mantissa so that's the smallest number body (apart from exponent) you can express in that format. It will all be clear once you have studied the format.
 
  • #3
What is meant by a precision of 23 bits (mantissa) in IEEE single precision format is equivalent to approximately 7 decimal digits precision?
 
  • #4
shuxue said:
What is meant by a precision of 23 bits (mantissa) in IEEE single precision format is equivalent to approximately 7 decimal digits precision?
approximately, yes. It's really very easy to remember because 2**10 = 1024 = 10**3 so 2**23 ~ 10**(23/3) ~ 10**7
 
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What is IEEE single precision format?

IEEE single precision format is a binary floating-point format used to store and manipulate floating-point numbers in computers. It is also known as single-precision binary floating-point or binary32.

How many bits are used in IEEE single precision format?

IEEE single precision format uses 32 bits to store a floating-point number. This includes 1 sign bit, 8 exponent bits, and 23 mantissa bits.

What is the range of values that can be represented in IEEE single precision format?

The range of values that can be represented in IEEE single precision format is approximately 1.4 x 10^-45 to 3.4 x 10^38. This range is determined by the number of bits allocated to the exponent and mantissa.

How is a number represented in IEEE single precision format?

In IEEE single precision format, a number is represented using three parts: the sign bit, the exponent, and the mantissa. The sign bit determines whether the number is positive or negative, the exponent determines the scale of the number, and the mantissa stores the digits of the number.

What are the advantages of using IEEE single precision format?

IEEE single precision format allows for efficient storage and manipulation of floating-point numbers in computers. It also allows for a wide range of values to be represented, making it useful for scientific and engineering calculations. Additionally, it has a standardized format, making it compatible across different computer systems.

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