Floating Point Representation Major All Engineering Majors Authors
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Floating Point Representation Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons http: //numericalmethods. eng. usf. edu Numerical Methods for STEM undergraduates 10/3/2020 http: //numericalmethods. eng. usf. edu 1
Floating Decimal Point : Scientific Form 2 lmethods. eng. usf. edu ht
Example The form is or Example: For 3 lmethods. eng. usf. edu ht
Floating Point Format for Binary Numbers 1 is not stored as it is always given to be 1. 4 lmethods. eng. usf. edu ht
Example 9 bit-hypothetical word §the first bit is used for the sign of the number, §the second bit for the sign of the exponent, §the next four bits for the mantissa, and §the next three bits for the exponent We have the representation as 0 Sign of the number 5 0 1 Sign of the exponent 0 1 mantissa 1 1 0 1 exponent lmethods. eng. usf. edu ht
Machine Epsilon Defined as the measure of accuracy and found by difference between 1 and the next number that can be represented 6 lmethods. eng. usf. edu ht
Example Ten bit word §Sign of number §Sign of exponent §Next four bits for mantissa Next number 7 0 0 0 0 0 1 lmethods. eng. usf. edu ht
Relative Error and Machine Epsilon The absolute relative true error in representing a number will be less then the machine epsilon Example 10 bit word (sign, sign of exponent, 4 for mantissa) 0 Sign of the number 8 1 0 Sign of the exponent 1 1 exponent 0 1 1 0 0 mantissa lmethods. eng. usf. edu ht
IEEE 754 Standards for Single Precision Representation http: //numericalmethods. eng. usf. edu
IEEE-754 Floating Point Standard • Standardizes representation of floating point numbers on different computers in single and double precision. • Standardizes representation of floating point operations on different computers.
One Great Reference What every computer scientist (and even if you are not) should know about floating point arithmetic! http: //www. validlab. com/goldberg/paper. pdf
IEEE-754 Format Single Precision 32 bits for single precision 0 0 0 0 0 0 0 0 Sign (s) 12 Biased Exponent (e’) Mantissa (m)
Example#1 1 1 0 0 0 1 0 1 0 0 0 0 0 Sign (s) 13 Biased Exponent (e’) Mantissa (m)
Example#2 Represent -5. 5834 x 1010 as a single precision floating point number. ? ? ? ? ? ? ? ? Sign (s) 14 Biased Exponent (e’) Mantissa (m)
Exponent for 32 Bit IEEE-754 8 bits would represent Bias is 127; so subtract 127 from representation 15
Exponent for Special Cases Actual range of and are reserved for special numbers Actual range of
Special Exponents and Numbers all zeros all ones s 0 1 0 or 1 all zeros all ones m Represents all zeros 0 all zeros -0 all zeros non-zero Na. N
IEEE-754 Format The largest number by magnitude The smallest number by magnitude Machine epsilon 18
THE END http: //numericalmethods. eng. usf. edu
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